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Winback That Worked: Reactivating a Dormant List on WhatsApp + Email

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Winback That Worked: Reactivating a Dormant List on WhatsApp + Email The List You Already Have A dormant customer list can be one of the most overlooked assets in a business. These are people who have purchased before, subscribed to updates, requested information, or interacted with a company at some point, but have stopped responding. The natural reaction is often to focus on acquiring new customers. That can be expensive and time-consuming. Before investing heavily in new acquisition, it is worth looking at the customers who already know the business. A well-planned win-back campaign can give dormant contacts a reason to pay attention again. Using WhatsApp and email together can make this process more useful because each channel serves a different purpose. Email provides room for context, product information, and a considered offer. WhatsApp can deliver a shorter, more direct reminder when the customer has opted in to receive business messages. The goal is not to contact everyone repeatedly. It is to identify the right people, understand why they became inactive, and give them a relevant reason to return. Start With the Dormant List The first step is to define what “dormant” means for your business. For one company, a dormant customer may be someone who has not purchased for six months. For another, it may be a subscriber who has not opened an email for 90 days. A B2B company may define inactivity based on website visits, product usage, enquiries, or sales conversations. This distinction matters because customer inactivity does not always mean lost interest. Someone may have stopped buying because their needs changed. Another customer may simply have forgotten about the company. Some may have had a poor experience, while others may have found an alternative supplier. Segmenting the dormant customer list helps avoid sending the same message to everyone. Useful segments can include: Segment Possible Reason for Inactivity Suitable Message Previous buyers No recent purchase Product or service reminder Inactive subscribers Lost interest Useful content or update Old leads Decision was delayed Relevant solution or consultation High-value customers Reduced engagement Personalized reactivation message One-time customers No second purchase Related product or service This type of customer segmentation makes a reactivation campaign easier to manage and measure. Give Them a Reason to Return A win-back message needs a clear purpose. “Hello, we miss you” is unlikely to be enough on its own. The recipient needs to understand why the message deserves attention. The reason could be a new product, an improved service, a useful resource, a relevant recommendation, a limited-time benefit, or an update connected to something they previously purchased. For example, a business selling software could contact an inactive customer about a new feature that solves a problem the customer previously experienced. A professional services company could send an old lead a useful guide related to the service they originally asked about. The message should connect with the recipient’s previous relationship with the company rather than appearing as a generic promotion. Use Email for the Full Story Email works well as the detailed part of a customer reactivation strategy. The subject line should make the purpose clear without resorting to exaggerated claims. The body should quickly explain what has changed, why it may matter to the recipient, and what they can do next. A simple email sequence might look like this: Reintroduce the business or relevant product. Share something useful or explain what has changed. Provide a clear reason to return. Send a final reminder to genuinely inactive contacts. The sequence should also include sensible frequency limits. Sending several messages within a short period can make a dormant customer even less interested. Engagement data can help determine who should receive another message and who should be removed from the campaign. Add WhatsApp at the Right Point WhatsApp can complement email when customers have provided appropriate consent to receive messages through the channel. Its strength is direct communication. A WhatsApp re-engagement message can remind someone about an email, introduce a relevant update, or provide a simple next step. The message should be brief and useful. For example, after sending an email about a new service, a business might send an opted-in WhatsApp contact a short reminder directing them to the relevant information. WhatsApp should not become a replacement for thoughtful email communication. The two channels should support each other. Email can provide the details. WhatsApp can provide a timely reminder or simple action. This combination can create a more coordinated customer lifecycle campaign. Personalization Without Overdoing It Personalization is useful when it reflects genuine customer information. Using a customer’s name is only a small part of the process. More useful personalization can involve previous purchases, past enquiries, product interests, account activity, or the customer’s stage in the buying process. However, personalization should never make a customer uncomfortable. A company does not need to mention every detail it has collected. The information used should have a clear purpose and should help make the message more relevant. For example, instead of sending every dormant contact the same offer, a company could create separate messages for previous buyers, old leads, and inactive subscribers. This creates a more practical reactivation strategy without making the campaign unnecessarily complicated. Measure What Actually Happened A win-back campaign should be judged by customer actions rather than message volume. Important measurements can include: Email open rate Email click-through rate WhatsApp response rate Website visits Repeat purchases Reactivated customers Unsubscribe rate Conversion rate Revenue from reactivated customers It is also useful to compare results by segment. If previous customers respond well but old leads do not, the messaging may need to be different for those groups. If email receives strong engagement but WhatsApp produces few responses, the timing or message format may need adjustment. The purpose of measurement is to understand what caused dormant customers to return and where the campaign needs improvement. A Simple Win-Back Sequence A practical campaign does not need to contain dozens of messages. A four-stage sequence can be enough: Message 1 –

Blog, Product Analytics

The 7 Revenue Leaks We Find in Almost Every Klaviyo Audit

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The 7 Revenue Leaks We Find in Almost Every Klaviyo Audit Where Revenue Slips Away Klaviyo can give an ecommerce business a strong email and customer messaging system, but having the platform in place does not guarantee that every opportunity is being captured. When we review a Klaviyo account, the same problems appear with surprising regularity. Some are technical. Others come from weak segmentation, poor timing, incomplete automation, or campaigns that have been running for months without proper review. These issues rarely appear as one large problem. Instead, revenue is lost through a collection of smaller gaps. A welcome flow may be missing an important message. A customer may receive a promotional email shortly after making a purchase. A product recommendation may be irrelevant. An abandoned cart sequence may stop before the customer has had enough time to make a decision. A thorough Klaviyo audit helps uncover these gaps and shows where improvements are most likely to have an effect. Here are seven revenue leaks that Product Siddha commonly looks for during a Klaviyo audit. 1. Weak Welcome Flows The welcome series is often the first automated conversation a new subscriber has with a brand. Yet many accounts have a short welcome flow that simply delivers a discount code and stops there. A stronger email welcome series can introduce the business, explain the value of the products, answer common questions, establish trust, and guide subscribers toward an appropriate purchase. During a Klaviyo account audit, we look at the number of messages, timing between emails, content, segmentation, conversion rates, and whether the flow changes according to customer behavior. The objective is to make those early interactions useful rather than treating the welcome email as a single promotional message. 2. Abandoned Cart Gaps An abandoned cart represents a customer who has already shown meaningful purchase intent. The revenue leak occurs when the abandoned cart flow is poorly configured or overly generic. Common problems include incorrect timing, weak product information, missing dynamic content, ineffective follow-up messages, or flow conditions that prevent qualified shoppers from receiving the right communication. The flow should also account for what happens after the customer completes the purchase. Someone who has already bought should not continue receiving abandoned-cart reminders for the same order. A Klaviyo audit should therefore examine both the message sequence and the underlying flow logic. 3. Poor Customer Segmentation A large customer list can become difficult to manage when every subscriber receives similar campaigns. A recent customer, an inactive subscriber, a frequent buyer, and someone who has never purchased have different relationships with the business. Sending the same message to all four groups can reduce engagement and create missed sales opportunities. Useful Klaviyo segments may include recent purchasers, repeat customers, first-time buyers, high-value customers, inactive subscribers, product-category buyers, and engaged non-purchasers. Segmentation allows campaigns to reflect customer history and buying behavior. It can also reduce unnecessary messages to people who have already taken the desired action. 4. Post-Purchase Revenue Is Ignored The customer journey does not end when an order is completed. One of the most common gaps we see is an underdeveloped post-purchase flow. A customer buys a product, receives an order confirmation, and then hears very little from the brand until the next general promotion. A well-planned post-purchase sequence can serve several purposes. It can explain product use, answer common questions, recommend complementary products, request feedback, and encourage a second purchase when the timing makes sense. For some businesses, repeat purchases are a major source of revenue. Leaving this part of the customer lifecycle unattended can therefore become a significant leak. 5. Flows Are Triggering at the Wrong Time Automation is useful only when the rules behind it make sense. A flow can contain excellent copy and attractive design while still performing poorly because its timing or trigger conditions are wrong. For example, a customer may receive a promotional message immediately after placing an order. An inactive subscriber may enter a win-back flow despite recently engaging with another campaign. A browse abandonment message may arrive when the shopper is no longer considering the product. During a Klaviyo audit, it is important to examine triggers, filters, flow delays, profile properties, exclusions, and the relationship between different automated sequences. The aim is to make sure customers receive the right communication based on what they have actually done. 6. Campaigns Are Sent Without a Clear Revenue Role Regular campaigns are an important part of ecommerce communication, but sending more emails does not automatically create more revenue. Some campaigns are built around a product announcement. Others promote a sale, educate customers, introduce a collection, or encourage repeat purchases. Problems arise when campaigns are sent without considering audience, purchase history, previous communication, or the customer’s position in the buying process. A good campaign calendar should have a clear reason for each message. The team should also review campaign performance over time. Open rates can provide useful information, but clicks, purchases, revenue per recipient, unsubscribes, and engagement trends often provide a more practical view of campaign quality. 7. Inactive Customers Are Left Untouched Every ecommerce business accumulates inactive subscribers. Some have not purchased for a long period. Others have stopped opening or clicking emails. A portion may still have an interest in the brand but simply need a relevant reason to return. A win-back flow can help identify these customers and give them an opportunity to re-engage. The key is to avoid treating every inactive subscriber in exactly the same way. The appropriate message may depend on purchase history, previous engagement, product interest, and the length of inactivity. There should also be a clear point at which persistently inactive profiles are suppressed from regular marketing communication. This keeps the customer database healthier and helps the business focus its efforts on people who are still likely to engage. What an Audit Should Reveal A useful Klaviyo audit should produce more than a list of technical observations. It should show where revenue opportunities exist and which issues deserve attention first. Audit

Blog, Product Analytics

Klaviyo Agency vs In-House: The Six Roles You’re Actually Replacing

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Klaviyo Agency vs In-House: The Six Roles You’re Actually Replacing For a growing D2C brand, choosing between a Klaviyo agency and an in-house marketing team is rarely a simple hiring decision. It involves people, software knowledge, campaign management, customer data, reporting, design, and the time required to keep all of those pieces working together. Klaviyo can support email marketing, SMS, customer segmentation, automated flows, campaign reporting, and other retention activities. Yet the platform still requires people who know how to plan, build, test, monitor, and improve those activities. That raises a practical question for ecommerce companies. If you hire a Klaviyo agency, which internal roles are you actually replacing? The answer usually involves six different areas of work. 1. Email Marketing Specialist The first role is the most obvious. An email marketing specialist is responsible for planning campaigns, writing or coordinating copy, building emails, managing lists, creating segments, scheduling campaigns, and reviewing results. A capable Klaviyo agency can handle much of this work as part of an ongoing engagement. Instead of hiring a full-time employee solely for email marketing, a brand gains access to people who already work with Klaviyo accounts and ecommerce marketing programs. This can be particularly useful for brands that have enough customer data and product activity to require regular campaigns but do not yet need a full-time email specialist. The agency may also manage: Promotional email campaigns Product announcements Customer newsletters Abandoned cart emails Post-purchase emails Welcome sequences Re-engagement campaigns Customer segmentation Email performance reporting 2. Klaviyo Automation Specialist Email campaigns are only one part of the work. Klaviyo automation requires someone who understands how customer actions can trigger different communications. A flow may begin when a customer joins a list, views a product, places an order, abandons a cart, or reaches another defined condition. Managing these workflows requires more than setting up a few automated emails. Someone needs to review triggers, filters, timing, exclusions, conditional splits, and customer paths. This is where a Klaviyo expert can save an internal team considerable time. A Klaviyo agency can audit existing flows, identify gaps, build new automations, and monitor whether customers are entering the correct sequences. For a D2C company, that may cover the responsibilities normally assigned to a marketing automation specialist. 3. CRM and Customer Segmentation Manager Customer data becomes increasingly difficult to manage as an ecommerce business grows. A small store may have only a few customer groups. A larger D2C brand can have first-time buyers, repeat customers, high-value customers, inactive subscribers, recent purchasers, product-specific buyers, and many other segments. Klaviyo segmentation can help organize these audiences, but someone still has to decide which segments are useful and how they should be used. A Klaviyo agency can help define customer segments based on purchasing behavior, engagement, product interests, order history, and other available information. The agency may also review whether campaigns are reaching the right people. For example, a customer who purchased a product yesterday may need a different message from someone who has not purchased in six months. Good segmentation makes those distinctions manageable. This means an agency can take on part of the work usually handled by a CRM or lifecycle marketing manager. 4. Copywriter and Email Designer Every email requires creative work. Someone has to determine what the message should say, how the offer should be presented, which products should appear, and how the email should look across different devices. An internal team may need separate people for copywriting and design. Smaller companies often expect one employee to manage both. An experienced Klaviyo agency can combine these responsibilities within its campaign process. That may include: Email copywriting Subject lines and preview text Email layouts Product blocks Calls to action Mobile-friendly formatting Promotional campaign design Automated flow content This does not eliminate the need for brand direction from the client. Product Siddha, for example, can help a brand maintain consistency by ensuring campaigns reflect its products, customers, and existing communication style. The agency provides the production capacity while the brand retains control over its identity. 5. Ecommerce Data and Analytics Specialist Reporting is another role that is easy to underestimate. Someone needs to examine campaign results and determine what the numbers actually mean. Open rates, clicks, conversions, revenue, unsubscribe rates, flow performance, and customer behavior can all provide useful information. The challenge is that reporting without context can become a collection of numbers rather than a useful business tool. A Klaviyo agency can review campaign and flow performance regularly and identify areas that deserve attention. For example, an agency may discover that a particular automated flow generates strong revenue while several campaign types produce weak engagement. That finding can influence future campaign planning and customer segmentation. An in-house analytics specialist could perform the same work. The question is whether the company has enough ongoing analytical work to justify a dedicated position. 6. Email Marketing Strategist The sixth role is broader. A marketing strategist looks at the entire email marketing program rather than an individual campaign. This person considers questions such as: Which customer groups should receive regular communication? Which Klaviyo flows should be created or revised? How often should campaigns be sent? Which products deserve more attention? Where are customers dropping out of the buying journey? Which campaigns are contributing to sales? What should the email program focus on next quarter? For an in-house team, this may be the responsibility of a senior lifecycle marketer or ecommerce marketing manager. With a Klaviyo agency, strategic planning can be part of the relationship. The agency can combine campaign management, automation, segmentation, creative work, and reporting into a single program. That can reduce the amount of coordination required between several separate employees. The Real Comparison The choice becomes clearer when the roles are placed side by side. Function In-House Approach Klaviyo Agency Email marketing Dedicated employee Agency specialist Klaviyo automation Internal specialist Klaviyo automation team Customer segmentation CRM or marketing employee Agency strategist or specialist Copy and design Internal creative team Agency creative resources Analytics Marketing

Blog, MarTech Implementation

DPDP Act Compliance for Email & WhatsApp Marketing: A Checklist for Indian D2C Brands

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DPDP Act Compliance for Email & WhatsApp Marketing: A Checklist for Indian D2C Brands India’s digital commerce market relies heavily on email addresses, mobile numbers, purchase histories, browsing activity and customer preferences. For D2C brands, these details make it possible to send order updates, promotional emails, product recommendations and WhatsApp messages. They also create responsibilities around how personal data is collected, used, stored and shared. The Digital Personal Data Protection Act, 2023 (DPDP Act) and the Digital Personal Data Protection Rules, 2025 establish India’s framework for handling digital personal data. The final Rules were notified on November 14, 2025, with a phased commencement schedule. For an Indian D2C company, this means Email Marketing and WhatsApp campaigns should be reviewed alongside data collection, consent, customer rights, vendor management and security practices. Here is a practical checklist that brands can use when reviewing their marketing operations. Start With the Data Before changing your email campaigns, identify what customer information your business actually collects. A typical D2C brand may collect: Name Email address Mobile number Delivery address Purchase history Product preferences Customer support conversations Website activity Marketing preferences Communication preferences The DPDP framework concerns digital personal data and places obligations on organizations that determine the purpose and means of processing that data. For marketing teams, this makes a proper data inventory a useful starting point. Create a simple internal record showing where each category of customer data comes from, why it is collected, where it is stored and which vendors can access it. This exercise also helps identify old customer lists that may have been collected without a clear record of their original purpose. Check Your Consent Process Consent is one of the central areas D2C brands should review. Under the DPDP framework, consent should be informed, specific and capable of being withdrawn. The 2025 Rules also require notices to be presented independently and in clear, understandable language. The notice must explain the personal data being processed and the specific purpose for processing. For Email Marketing, examine every place where a customer can subscribe. This may include: Website newsletter forms Checkout pages Pop-ups Landing pages Product registration forms Contests Lead-generation forms Mobile applications Avoid treating a pre-ticked marketing checkbox as your preferred consent mechanism. Your signup process should make it reasonably clear what the customer is agreeing to receive and how they can withdraw that consent. Make Your Privacy Notice Clear A privacy policy should not be treated as a document that sits unnoticed in the website footer. The DPDP Rules require the notice to provide a clear account of the personal data being collected and the purpose for which it will be processed. The notice must also provide a way for individuals to access the relevant website or app and understand how they can withdraw consent and exercise their rights. For a D2C brand, the notice should align with actual marketing operations. If your company collects a mobile number for WhatsApp communication, the stated purpose should accurately reflect that use. If an email address is collected for promotional communication, your documentation and customer-facing notice should account for that purpose. Do not publish a generic privacy statement that bears little resemblance to the information your marketing systems actually process. Review Your Email Marketing Platform Most D2C brands use third-party platforms for Email Marketing, customer segmentation and automated communication. Examples may include ecommerce platforms, email service providers, customer relationship systems and messaging providers. Prepare a list of every vendor that receives customer data. For each provider, record: Question What to check What data is shared? Email, phone, name, purchase data Why is it shared? Email campaigns, transactional messages, analytics Who can access it? Internal staff and service providers Where is it processed? Relevant hosting and processing locations How is it protected? Security and access controls How is data deleted? Account and retention procedures What happens after termination? Deletion or return of information This vendor review is especially important for brands using several systems that exchange customer information automatically. Treat WhatsApp Marketing Separately WhatsApp is often handled differently from traditional email campaigns because the customer’s mobile number becomes the primary identifier. A D2C brand should therefore document how a customer provides permission to receive promotional WhatsApp messages. Keep records showing: When consent was obtained Where it was obtained What the customer agreed to receive Which phone number was associated with the consent Whether consent was later withdrawn When the customer was removed from marketing communication A customer who provides a mobile number for order delivery does not automatically mean every future promotional use of that number should be assumed to be understood. Marketing teams should distinguish operational communication from promotional communication in their internal processes. Make Withdrawal Easy The DPDP Rules specifically address mechanisms for withdrawing consent and state that the process should be as easy as the process used to give consent. For Email Marketing, this generally means maintaining a functional unsubscribe mechanism. For WhatsApp communication, your operational process should make it straightforward to record a customer’s request to stop promotional messages. The important part is what happens after the request. Your suppression or opt-out information needs to reach the systems that control campaign delivery. Removing someone from one mailing list while leaving them active in another system can result in another marketing message being sent. Maintain a Consent Record Consent should be something your business can demonstrate through records. A useful consent record can include: Record Example Customer identifier Email or mobile number Consent date Date and time Source Website checkout or signup form Purpose Promotional email Consent status Active or withdrawn Withdrawal date If applicable System Marketing platform The exact implementation should be reviewed with qualified legal and privacy professionals based on your business structure and processing activities. For marketing teams, the practical lesson is straightforward. Do not rely on memory or scattered spreadsheets to determine whether a customer agreed to receive marketing communication. Review Old Customer Lists Many D2C companies have accumulated customer records over several years. These lists may

Blog, MarTech Implementation

Klaviyo Pricing in 2026: What D2C Brands Actually Pay in India and International Markets

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Klaviyo Pricing in 2026: What D2C Brands Actually Pay in India and International Markets The Real Cost Behind Klaviyo For a D2C brand, choosing an email marketing platform is rarely just a question of the advertised monthly subscription. The actual cost depends on how many customer profiles you manage, how frequently you send campaigns, whether you use automated flows, and whether email is combined with SMS, WhatsApp, or other Klaviyo products. That makes Klaviyo pricing in 2026 particularly important for growing ecommerce businesses. Klaviyo currently offers a free plan with up to 250 active profiles and 500 email sends per month. The free plan also includes a limited amount of mobile messaging and Composer usage. Once a brand grows beyond those limits, its costs depend on the plan and usage it selects. For Indian D2C brands, there is another consideration. The price of Klaviyo’s core email platform should be considered separately from the cost of mobile messaging because SMS, WhatsApp, and other channels can have different rates based on the recipient’s country and messaging type. How Klaviyo Charges D2C Brands Klaviyo’s billing structure is largely built around active profiles. An active profile is a customer or contact that can be emailed through Klaviyo. This can include subscribers as well as people added through ecommerce activity, such as providing an email address during checkout. This is important because a D2C company may have 20,000 people in its database but a smaller number of genuinely useful, engaged customers. Klaviyo’s billing should therefore be evaluated against the number of active profiles rather than simply looking at the total number of records stored in an ecommerce database. Your monthly cost can also change as your customer database grows. Cost factor Why it matters Active profiles Determines the required email plan Email volume Affects sending limits and plan requirements Campaigns Regular promotional emails contribute to usage Automated flows Welcome, abandoned cart and post-purchase emails generate sends SMS Charged separately according to mobile messaging rates WhatsApp Pricing depends on message type and recipient region Additional products Analytics and other Klaviyo products can add subscription costs This structure is why two D2C brands with similar revenue can have very different Klaviyo bills. What Indian D2C Brands Should Expect For an Indian ecommerce company, Klaviyo can be used for customer segmentation, email campaigns, abandoned-cart automation, post-purchase communication, product recommendations and other lifecycle emails. The key question is how large the active customer database has become. A small D2C company with a few hundred contacts may be able to operate within the free plan. Klaviyo currently lists the free tier at up to 250 active profiles and 500 email sends per month. A growing brand with several thousand active profiles will need a paid plan. At this stage, businesses should avoid comparing Klaviyo’s price with another platform based only on the monthly subscription. The better comparison is cost per active customer, together with the amount of automation and reporting the platform provides. For example, a brand sending a welcome sequence, abandoned-cart emails, post-purchase messages and regular promotional campaigns needs to account for both its profile count and email activity. India vs International Markets Klaviyo’s core billing structure is not simply a separate “India price” versus a “US price.” The actual plan depends on the account’s requirements and the products being used. Currency can also cause confusion. Klaviyo allows businesses to change the currency symbol displayed in an account. However, changing the currency symbol does not convert the underlying numerical revenue data. It changes how the value is displayed. For an Indian business, this means the finance team should distinguish between the platform’s billing currency and the currency used to display ecommerce revenue. Mobile messaging is different. Since July 13, 2026, Klaviyo has moved Mobile Messaging from credit-based pricing to dollar-based, per-message rates. The rate depends on the channel, recipient country or region, number type where applicable, carrier costs and message segments. That change is particularly relevant to international D2C brands. SMS and WhatsApp Can Change the Calculation Email may be the main Klaviyo expense for a D2C company, but mobile messaging can add another layer to the monthly bill. Klaviyo’s 2026 mobile messaging model uses different rates depending on where the message is being sent and which channel is being used. SMS, MMS, WhatsApp and RCS can therefore have different costs. WhatsApp pricing also depends on the type of template message and the recipient’s country or region. India has an individual pricing category in Klaviyo’s WhatsApp documentation. For a brand selling in India, the United States, the United Kingdom and Australia, the same messaging strategy may therefore produce different mobile costs across markets. This is one reason D2C businesses should calculate their total Klaviyo cost rather than looking only at the email subscription. What Does a Typical D2C Stack Look Like? A growing ecommerce business may use Klaviyo for several jobs at once. D2C activity Typical Klaviyo use New subscriber Welcome flow Product browsing Browse abandonment Shopping cart Abandoned-cart flow Completed order Post-purchase sequence Repeat customers Replenishment or cross-sell emails Inactive customers Win-back campaigns Product launches Promotional campaigns Customer segmentation Targeted email campaigns International sales Country-based segments and messaging The value of Klaviyo becomes easier to judge when these activities are considered together. A platform that costs more per month may still make financial sense if it allows a brand to automate a significant portion of its customer communication and generate measurable ecommerce revenue. Watch Your Active Profiles One of the simplest ways to control Klaviyo pricing is to keep the active profile count under review. Klaviyo provides tools for managing inactive profiles and suppressing contacts that no longer need to receive marketing messages. Suppressed profiles do not remain part of the billable active profile count in the same way. For D2C brands, this deserves regular attention. A database can grow quickly through newsletter signups, checkout activity, abandoned carts and other customer interactions. If old or inactive contacts remain unnecessarily active, the business can end up paying for

Blog, Product Management

Why D2C Brands Need a Retention Strategy Before They Need More Klaviyo Flows

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Why D2C Brands Need a Retention Strategy Before They Need More Klaviyo Flows Start With the Customer D2C brands can build a surprising number of automated workflows inside Klaviyo. Welcome emails, abandoned checkout reminders, post-purchase sequences, replenishment campaigns, cross-sell messages, and win-back flows can all serve useful purposes. The problem begins when a business treats every retention problem as a request for another flow. If customers are receiving too many messages, adding another workflow may increase the problem. If customer segments are poorly defined, more automation simply sends more messages to poorly defined groups. If the brand does not understand why customers return or leave, additional flows may create activity without improving retention. A retention strategy should come first. Klaviyo can then become one of the tools used to execute that strategy. For Product Siddha, this distinction is important when helping businesses review marketing automation. The starting point should be the customer journey, business objectives, data, and retention challenges. What a Retention Strategy Actually Does A retention strategy provides a framework for deciding how a business will encourage customers to continue buying and engaging with the brand. It should answer several basic questions: Who are your most valuable customers? When do customers typically purchase again? What causes customers to stop purchasing? Which products lead to repeat purchases? How long does it usually take to make a second order? Which customers need education after purchasing? Which customers are ready for another purchase? Which customers have become inactive? Which communication channels do customers respond to? These questions help determine where automation can contribute. Without these answers, a brand can end up building workflows because they are available rather than because they solve a specific customer problem. Consider a Simple Example Imagine a D2C brand that sells premium coffee subscriptions and individual bags of coffee. The company has already built several Klaviyo flows: Welcome flow Abandoned cart flow Post-purchase flow Cross-sell flow Review request flow Win-back flow The marketing team notices that repeat purchases have slowed. The first suggestion is to create another promotional flow. Before doing that, the company examines its customer data. It discovers that many first-time buyers purchase a 30-day supply. A significant number of these customers receive a promotional email before they are likely to need another order. Some customers purchase again before the promotional sequence ends, while others become inactive after receiving several unrelated messages. The real issue is timing and customer journey design. The brand needs to understand when customers are likely to reorder, what they purchased, which messages they have already received, and whether they have already placed another order. A retention strategy could establish these rules first. First Purchase → Product Education → Expected Consumption Period → Replenishment Reminder → Repeat Purchase → Loyalty Communication Klaviyo flows can then execute these stages. The difference is significant. The business is no longer asking, “What flow should we build next?” It is asking, “What should happen next in the customer’s relationship with our brand?” Map the Customer Lifecycle Before adding automation, map the major stages of your customer lifecycle. A basic D2C journey might look like: Lifecycle Stage Customer Situation Strategic Objective New subscriber Has shown initial interest Build familiarity First-time buyer Completed first order Support the purchase experience Potential repeat buyer May be approaching reorder Encourage appropriate follow-up Repeat customer Has purchased again Increase customer value High-value customer Purchases frequently Strengthen the relationship Inactive customer Has stopped purchasing Understand and address inactivity Each stage should have a purpose. The associated Klaviyo flow should support that purpose rather than exist simply because the platform allows it. Know Your Customer Segments A retention strategy also depends on useful segmentation. A list of 50,000 customers does not represent one uniform audience. Customers can differ by purchase history, order value, product preferences, purchase frequency, engagement, and time since their last order. Useful segments may include: First-time customers Repeat purchasers High-value customers Customers nearing their expected reorder period Customers with declining purchase frequency Inactive customers Product-specific customer groups Customers who purchased during a particular period Segmentation gives the brand a better basis for deciding which communication is appropriate. It also helps reduce unnecessary overlap between campaigns. Understand What Each Flow Is Supposed to Do Every automated workflow should have a clear purpose. For example: Welcome Flow: Introduce the brand and help new subscribers understand what to expect. Post-Purchase Flow: Provide useful information after an order and support the customer’s experience. Replenishment Flow: Contact customers around the time they may reasonably need another product. Win-Back Flow: Address customers who have become inactive. Cross-Sell Flow: Introduce relevant products based on previous purchasing behavior. If two flows serve nearly the same purpose, the business should review whether both are necessary. A retention strategy creates the structure for making these decisions. Use Klaviyo as an Execution Layer Klaviyo can be an important part of a D2C retention operation. Its role should be connected to the wider customer data and marketing strategy. The ecommerce store provides purchase information. Customer data provides context. Segmentation determines eligibility. Klaviyo can execute communication based on those conditions. For more advanced businesses, other systems may also be involved, including SMS platforms, customer support tools, analytics systems, and CRM software. The important point is that these systems should work from a consistent understanding of the customer. A customer who has just completed a purchase should not continue receiving a message intended for customers who have never purchased. Measure Retention, Not Just Flow Activity A flow can perform well according to campaign metrics while having limited impact on customer retention. Open rates and click-through rates can provide useful diagnostic information. They should not be the only measures used to judge retention performance. D2C brands should also monitor: Repeat purchase rate Customer lifetime value Purchase frequency Revenue per customer Customer retention rate Time to second purchase Replenishment conversion rate Customer reactivation rate These metrics provide a broader view of whether customers are continuing to create value. For example, if a new post-purchase flow

Blog, Product Analytics

LTV Cohort Reporting: The Retention Metric D2C Brands Should Track Instead of Open Rate

Leave a Comment / Blog, Product Analytics / Binila Treesa

LTV Cohort Reporting: The Retention Metric D2C Brands Should Track Instead of Open Rate Look Beyond the Open Open rates have a place in email reporting. They can show whether customers are opening messages, but they do not tell a D2C brand whether those customers are continuing to buy. A customer can open several emails without placing another order. Another customer may rarely open promotional emails but return to the store and make several purchases over the next year. For a business focused on customer retention, the second customer may be far more valuable. This is why LTV cohort reporting deserves greater attention. Instead of measuring individual campaign engagement, cohort reporting follows groups of customers over time and examines how their value changes. For D2C brands, this can provide a clearer view of repeat purchasing, customer lifetime value, retention, and revenue quality. What Is an LTV Cohort? A cohort is a group of customers who share a common starting point. For example, a D2C brand could group customers according to the month in which they made their first purchase. A January 2026 cohort would contain customers whose first order occurred in January. A February cohort would contain customers whose first order occurred in February. The brand can then track each group over subsequent months. Cohort Month 0 LTV Month 1 LTV Month 3 LTV Month 6 LTV January 2026 $75 $96 $128 $154 February 2026 $72 $91 $119 $147 March 2026 $78 $103 $137 $168 The figures above are examples only. Actual results will depend on the business. The value of this approach comes from seeing how customers behave after their initial purchase. Why Open Rate Can Mislead Email open rate measures a communication event. It does not directly measure customer value. Suppose an email campaign generates a 45 percent open rate. That may appear encouraging. However, if the campaign produces very few additional purchases, the open rate tells management little about the long-term performance of the customer base. Now consider another campaign with a lower open rate but a higher rate of repeat purchases. Which campaign contributed more to the business? The answer cannot be determined from open rate alone. This does not make email engagement metrics useless. It means they should be viewed alongside business metrics such as repeat purchase rate, customer lifetime value, revenue per customer, and cohort retention. How Cohort Reporting Changes the View Traditional campaign reporting often asks questions such as: How many customers opened the email? How many clicked? How many converted? How much revenue did the campaign generate? Cohort reporting asks a different set of questions: How many customers purchased again? How quickly did the second purchase occur? How much revenue did each customer group generate over time? Which acquisition periods produced the most valuable customers? Which cohorts are losing purchasing activity? Has customer lifetime value improved? These questions help connect marketing activity with longer-term customer behavior. Track the Second Purchase For many D2C businesses, the second purchase is an important point in the customer journey. The first order establishes the customer relationship. The second order provides evidence that the customer has returned to the brand. Cohort reporting can show how many customers from each acquisition period make a second purchase and how long it takes them to do so. Consider a simple example: January Cohort 1,000 first-time customers 320 make a second purchase 180 make a third purchase 95 make a fourth purchase February Cohort 1,000 first-time customers 370 make a second purchase 210 make a third purchase 120 make a fourth purchase The February cohort appears to be developing stronger repeat purchasing behavior. That finding can lead to a more useful business discussion than simply comparing email engagement between January and February. Connect LTV With Acquisition Cohort reporting becomes even more useful when customer lifetime value is compared with acquisition sources. A D2C brand may acquire customers through search, paid advertising, referrals, partnerships, email, or other channels. Two channels may produce similar first-order revenue while producing very different customer value over time. For example: Acquisition Source First Order 6-Month LTV Repeat Purchase Rate Search $78 $142 34% Paid Social $74 $119 27% Referral $81 $176 42% These figures are illustrative. The important point is that acquisition performance should be considered alongside downstream customer behavior. A channel that produces customers with stronger retention may deserve a different evaluation from one that produces a large volume of first-time orders. Measure Cohort Retention LTV and retention are closely related, but they answer different questions. Retention shows how many customers remain active or continue purchasing. LTV measures the economic value generated by those customers over time. A useful cohort dashboard can include: Customer retention rate Repeat purchase rate Customer lifetime value Average order value Purchase frequency Revenue per customer Time to second purchase Time between purchases Cohort revenue Together, these measures create a more complete picture of customer health. Find Weak Cohorts Early One practical benefit of cohort reporting is that it can reveal changes that are difficult to see in aggregate numbers. Suppose overall revenue continues to grow because the brand is acquiring more customers. At the same time, newer cohorts may be purchasing less frequently than older cohorts. Total revenue could hide that problem. A cohort table might reveal that customers acquired in the first quarter have stronger six-month value than customers acquired in the second quarter. That finding raises useful questions. Has the customer mix changed? Has the product offering changed? Are new customers receiving different post-purchase communication? Has acquisition expanded into audiences with lower repeat purchase potential? Cohort reporting does not answer every question by itself. It helps identify where those questions should be asked. Build a Practical LTV Dashboard A D2C brand does not need an elaborate analytics system to begin. A basic dashboard can organize customers by first purchase month and track their subsequent revenue. A useful layout might include: Customer Cohort → Number of Customers → Repeat Purchases → Revenue → LTV → Retention Rate The reporting

AI Automation, Blog

AI Agents for Customer Retention: Which Lifecycle Tasks Can Actually Run Autonomously?

Leave a Comment / AI Automation, Blog / Binila Treesa

AI Agents for Customer Retention: Which Lifecycle Tasks Can Actually Run Autonomously? Where Agents Fit Customer retention involves many recurring tasks. A customer places an order, receives follow-up communication, becomes eligible for another purchase, responds to a message, or gradually becomes inactive. Each event can create another marketing or service requirement. Businesses have traditionally handled these activities through scheduled campaigns, rules-based workflows, and manual decisions. These systems remain useful, particularly when the process is predictable. AI Agents introduce another option. An agent can monitor information, interpret a defined situation, choose an appropriate action, use connected software, and evaluate what happened next. This makes them particularly relevant to customer lifecycle operations. The important question for a D2C brand is not whether an AI agent can theoretically handle a task. The better question is whether the task has enough structure, reliable data, clear permissions, and measurable outcomes to be handled safely with limited human intervention. What Makes a Task Suitable? Not every retention activity should run autonomously. The strongest candidates generally have four characteristics: Reliable customer data is available The desired action can be clearly defined The consequences of an error are manageable The result can be measured and reviewed A replenishment reminder is a good example. If a customer typically repurchases a product after a predictable period, an agent can review the purchase history, determine whether the customer is approaching that period, check whether another order has already been placed, and recommend or initiate the next communication. A complicated complaint involving refunds, sensitive customer information, or an unusual order may require human involvement. The distinction matters because autonomy should be based on the nature of the task rather than the novelty of the technology. Task 1: Customer Segmentation Customer segmentation is one of the more practical areas for AI-assisted retention. An agent can review purchase frequency, order history, engagement, product preferences, and periods of inactivity. It can then identify changes in customer behavior and assign customers to predefined segments. For example, a customer who previously purchased every month may become inactive for several months. The agent can identify the change and move that customer into an appropriate re-engagement segment. This process can reduce the need for marketing teams to manually review large customer lists. Human oversight can still be useful when segment definitions change or when the business wants to introduce a new retention strategy. Task 2: Replenishment Management Replenishment is particularly suitable for products with reasonably predictable buying cycles. An AI agent can examine previous orders and estimate when a customer may need to purchase again. Before sending a reminder, it can check recent transactions to determine whether the customer has already reordered. The workflow could look like this: Purchase History → Expected Reorder Period → Recent Order Check → Customer Eligibility → Reminder → Response Tracking This is more useful than sending the same reminder to every customer after an identical number of days. The agent can work with individual customer histories while following the brand’s communication rules. Task 3: Customer Re-Engagement Customer inactivity can be difficult to manage manually when a business has thousands of customers. AI Agents can monitor customer activity and identify changes that meet predefined conditions. An agent might look at: Time since last purchase Previous purchase frequency Average order value Product categories purchased Email engagement Previous response to offers Once a customer meets the conditions for re-engagement, the agent can select an approved workflow and initiate the appropriate action. The business can establish limits around message frequency, discounts, and communication channels. Task 4: Product Recommendations Product recommendations can also be supported by AI Agents when sufficient customer and product data is available. An agent can review previous purchases and identify products that may reasonably complement a customer’s buying history. For example, someone who purchased a particular product may qualify for a related accessory or replacement item. The agent should work within defined product rules. It should not make recommendations based on incomplete information simply because a product appears statistically related. This is where product data quality becomes important. Task 5: Customer Support Triage Customer service is another area where autonomous agents can assist, particularly with classification and routing. An agent can review an incoming customer request and determine whether it relates to an order status, product question, return request, shipping issue, or another known category. It can then route the request to the correct workflow or team. Simple questions may be suitable for automated responses when the business has approved answers and reliable information sources. More sensitive cases should be transferred to a human representative. A useful structure is: Customer Request Possible Agent Action Order status Retrieve approved order information Shipping question Provide available delivery information Product question Retrieve approved product details Return request Identify the applicable return process Complaint Route to customer service Complex account issue Escalate to a human This approach allows automation to handle routine work while preserving human review for situations that require judgment. Task 6: Lifecycle Workflow Management AI Agents can also monitor whether customers have moved from one lifecycle stage to another. A customer might move from first-time buyer to repeat customer. Another may become inactive. A high-value customer may qualify for a separate retention program. The agent can monitor these changes and coordinate actions across connected systems. For example, when a customer makes a second purchase, the agent can update the customer profile, change the relevant segment, stop an introductory workflow, and place the customer into a repeat-buyer journey. This prevents multiple workflows from continuing without regard to the customer’s current status. Task 7: Campaign Monitoring AI Agents can also assist with monitoring automated retention programs. An agent can watch for unusual changes in campaign performance, workflow errors, failed integrations, or unexpected customer activity. For instance, if a workflow suddenly stops sending messages because a data connection has failed, the agent can identify the issue and alert the appropriate team. The agent does not necessarily need permission to correct every problem automatically. In many cases, identifying

AI Automation, Blog

The Retention Maturity Curve: Where Does Your D2C Brand Actually Stand in 2026?

Leave a Comment / AI Automation, Blog / Binila Treesa

The Retention Maturity Curve: Where Does Your D2C Brand Actually Stand in 2026? Find Your Starting Point D2C brands often talk about customer retention as though every business is working from the same starting point. In practice, retention operations can look very different from one company to another. One brand may still be sending the same promotional email to its entire customer list. Another may have detailed customer segments, automated post-purchase communication, replenishment reminders, and reporting tied to customer lifetime value. Both businesses may use the same ecommerce platform and email software. Their retention maturity can still be very different. The Retention Maturity Curve provides a practical way to understand where a D2C brand stands and what it should improve next. It considers the systems, customer data, processes, automation, segmentation, and measurement behind retention activity. For Product Siddha, this framework can help D2C businesses identify gaps before investing in more tools or complicated workflows. Stage One: Campaign-Based Retention At the first stage, retention depends largely on individual campaigns. The business may have an email list, an ecommerce store, and a few promotional campaigns. Customer communication is usually planned around product launches, discounts, seasonal offers, or other marketing events. Customer data exists, but it may not be organized for regular use. Common characteristics include: Limited customer segmentation Manual campaign planning Basic email communication Little post-purchase follow-up Limited retention reporting No consistent customer lifecycle structure At this stage, the priority should be establishing reliable customer data and basic retention processes. There is little value in building complex automation when the underlying customer information is incomplete or poorly organized. Stage Two: Basic Lifecycle Automation The second stage begins when the brand starts using customer events to trigger communication. A new subscriber may enter a welcome sequence. A customer who abandons checkout may receive a reminder. Someone who completes a purchase may receive post-purchase communication. These workflows reduce manual campaign management and provide customers with communication that relates to their recent activity. A basic retention setup may include: Customer Event Retention Action New subscription Welcome sequence First purchase Post-purchase communication Abandoned checkout Recovery message Expected reorder Replenishment reminder Customer inactivity Re-engagement campaign This is a useful step forward, although the workflows may still operate separately. The brand has automation, but it may not yet have a coordinated retention system. Stage Three: Behavioral Segmentation At the third stage, customer behavior becomes a central part of retention planning. Instead of grouping customers primarily by subscription status or purchase history, the brand begins to consider purchase frequency, product preferences, engagement, order value, and time since the last purchase. For example, a frequent customer who purchases every month should receive different communication from someone who purchased once six months ago. Useful customer segments may include: First-time buyers Repeat customers High-value customers Inactive customers Frequent purchasers Customers approaching reorder periods Product-specific customer groups Customers with declining purchase frequency This stage also requires regular review. Customer segments should reflect current behavior rather than remain fixed indefinitely. Stage Four: Connected Retention Operations At this point, retention becomes more closely connected with the broader technology stack. The ecommerce store, customer data, email platform, messaging channels, analytics systems, and other tools can exchange relevant information. A purchase can update a customer profile. That update can change the customer’s segment. The segment can determine which communication is appropriate. The resulting interaction can then be measured against customer and revenue outcomes. The process might look like this: Customer Activity → Data Update → Segment Change → Workflow Trigger → Customer Communication → Purchase or Response → Reporting This connected approach reduces conflicting messages and gives marketing teams a clearer view of the customer journey. It can also help prevent situations where a customer receives a promotional offer immediately after making a purchase or continues receiving an irrelevant campaign after becoming inactive. Stage Five: Predictive Retention Management The most mature stage focuses on identifying changes in customer behavior early enough to support useful action. The business may monitor signals such as declining purchase frequency, reduced engagement, changes in order value, or extended periods without a purchase. These signals can be used to identify customers who may require a different retention approach. For example, a customer who previously purchased every six weeks but has now gone three months without an order may warrant attention. The appropriate response could depend on the products purchased, previous engagement, and customer value. At this stage, retention decisions are increasingly supported by connected customer data and structured analysis. The objective remains practical. The business wants to understand customers better and respond appropriately. Measure Your Current Position A D2C brand can assess its retention maturity by reviewing a few basic areas. Customer Data: Is customer information accurate, accessible, and connected across relevant systems? Segmentation: Can the business distinguish customers according to meaningful behavior? Automation: Are important customer events connected to appropriate workflows? Communication: Do customers receive messages based on their stage and activity? Measurement: Can the business connect retention activity with repeat purchases and customer value? Operations: Is there a defined process for reviewing and improving retention workflows? A brand with strong campaign execution but weak data integration may be somewhere between Stage Two and Stage Three. A company with connected systems and behavior-based retention programs may be closer to Stage Four. Know Which Metrics Matter Retention maturity should also be visible in the numbers. Important measures include: Repeat purchase rate Customer retention rate Customer lifetime value Purchase frequency Average order value Revenue per customer Churn rate Reactivation rate Replenishment conversion rate These figures should be reviewed together. For instance, an increase in repeat purchase rate is useful, but the business should also understand whether those additional purchases are generating sustainable customer value. A simple retention dashboard can help teams track these measures over time. Example Retention Maturity Scorecard Area Basic Developing Mature Customer Data Separate systems Partially connected Connected data Segmentation Broad groups Behavioral groups Dynamic segments Automation Few workflows Lifecycle workflows Coordinated journeys Reporting Campaign metrics Retention metrics Customer-level analysis

AI Automation

AI Orchestration for Retention: Connecting Klaviyo, WhatsApp, and Your Store Into One Customer Journey

Leave a Comment / AI Automation / Binila Treesa

AI Orchestration for Retention: Connecting Klaviyo, WhatsApp, and Your Store Into One Customer Journey One Connected Journey A D2C customer rarely interacts with a brand through a single channel. A customer may discover a product through an online store, subscribe to email communication, receive a WhatsApp message, return to the website, complete a purchase, and later receive a replenishment reminder. Each interaction creates useful information. The difficulty begins when that information remains separated across different systems. The ecommerce store knows what the customer purchased. Klaviyo may know which emails the customer opened or clicked. WhatsApp may contain another part of the communication history. If these systems are poorly connected, marketing teams may end up managing several separate customer journeys. AI Orchestration provides a way to coordinate these systems around customer activity. Instead of treating each platform as an isolated tool, businesses can establish rules that determine how customer information moves between systems and what action should happen next. For Product Siddha, this type of automation is about building a practical connection between data, systems, and business processes. Why Disconnected Systems Create Problems Suppose a customer purchases a skincare product from an ecommerce store. The store records the order. An email platform may send a confirmation or follow-up message. A WhatsApp system may continue sending promotional communication. If the platforms do not share sufficient customer information, the customer could receive an irrelevant offer immediately after purchasing the same product. This creates unnecessary communication and makes the customer journey harder to manage. Connected automation can change the sequence. Once the purchase is recorded, the system can update the customer profile, remove the customer from an active promotional campaign, trigger post-purchase communication, and schedule a future message based on the expected product usage period. The individual tools still perform their own functions. Orchestration determines how those functions work together. Connect the Store to Customer Data The ecommerce store should generally act as an important source of customer and transaction information. Useful events may include: Product viewed Product added to cart Checkout started Order completed Product refunded Order cancelled Repeat purchase Customer inactive for a defined period These events can become triggers for automated workflows. For example, an order completion event could update a customer segment in Klaviyo and prevent certain promotional messages from being sent. The same event could also initiate a WhatsApp follow-up if the customer has provided the required consent. This creates a more consistent customer data flow. Give Klaviyo a Clear Role Klaviyo can manage email and other customer communication functions within an ecommerce marketing system. Its value increases when the information entering the platform is accurate and timely. Instead of creating numerous independent flows, businesses can structure workflows around customer lifecycle events. Consider a simple sequence: Customer Event System Action Possible Communication New subscription Create customer segment Welcome email First purchase Update customer status Post-purchase email Product usage period Check purchase history Product education Expected reorder date Evaluate customer activity Replenishment message Repeat purchase Update customer value Cross-sell communication Extended inactivity Move to inactive segment Re-engagement message The exact workflow will depend on the product, buying cycle, customer preferences, and communication permissions. Add WhatsApp to the Journey WhatsApp can serve a different purpose from email. Some customers may respond better to short, timely messages. For certain businesses, WhatsApp can be useful for order updates, customer support, reminders, product information, and carefully planned promotional communication. The important consideration is context. If a customer has just completed a purchase, the system should recognize that event before another promotional message is sent. If a customer has contacted support about an order problem, promotional communication may need to be paused until the issue is resolved. AI Orchestration can help apply these conditions across channels. A workflow might look like this: Store Event → Customer Profile Update → Segment Evaluation → Communication Decision → Email or WhatsApp → Customer Response → Next Action This gives each channel a defined role within the larger customer journey. Use AI Where Decisions Need Context AI Orchestration should have a clear purpose. It can help evaluate customer information, identify patterns, classify customer activity, recommend workflow actions, or determine which process should run based on predefined business rules. For example, a system may identify customers who have purchased several times but have become inactive. Those customers could be placed into a retention segment for further evaluation. Another workflow could identify customers who frequently purchase a particular category and trigger an appropriate product recommendation after a suitable interval. The value comes from connecting customer information with the next business action. Prevent Conflicting Campaigns One of the less visible problems in ecommerce automation is campaign overlap. A customer may qualify for several workflows at the same time. They might be eligible for a welcome campaign, a promotional campaign, a replenishment reminder, and a loyalty message. Without coordination, all four could run independently. A well-designed orchestration layer can establish priorities and exclusions. For example: Transactional communication takes priority. Customer service issues can pause promotional messaging. Recent purchasers can be excluded from acquisition-focused campaigns. Replenishment messages should consider the customer’s actual purchase date. High-value customer segments can follow separate communication rules. These conditions help keep automation organized. Build Around Customer Consent Customer communication also requires appropriate permission management. Email and WhatsApp programs should respect applicable consent requirements, opt-outs, communication preferences, and platform policies. A connected customer data system should make these preferences available to the relevant workflows. This is especially important when multiple communication channels are involved. A customer who has opted out of one type of communication should not be treated as automatically available for every other promotional channel. Good orchestration includes these controls as part of the workflow design. Measure the Whole Journey Channel-level metrics remain useful, but retention should also be evaluated across the complete customer journey. Useful measurements include: Repeat purchase rate Customer lifetime value Purchase frequency Customer retention rate Revenue per customer Replenishment conversion Reactivation rate Revenue attributed to automated journeys Unsubscribe and opt-out rates A connected

Author name: Binila Treesa