Curiosity Corner

professional · 2026-09-14 · 22 min read

Retention Is All You Need

A practitioner’s guide to building durable user relationships through a strong product, lifecycle marketing, thoughtful incentives, and meaningful engagement.

A neighborhood kirana store transitions into a modern digital customer journey, connected by warm lines of loyalty and engagement.

The art & science of successful relationship building with users

In order for any business to grow, it's imperative to develop a relationship with its users that is sustainable and value accretive for both the user and the business.

If you grew up in the 90s and in the pre-internet era (when there wasn't an app for everything), recall the experience of your family's relationship with the person at the kirana store, the vegetable grocer, the barber, the washerman. They know you personally, greet you warmly every time you meet, deliver the goods/services you need without asking too many questions, inform about new developments (in their respective areas of expertise) if you are in a mood to listen, offer choice in points of delivery (home delivery or store pickup), offer flexible payment options, and more importantly, ensure you are satisfied with every engagement.

In today's digital world, as much as there is scale to reach and serve hundreds of millions of users, there is also intense competition and ambition among businesses to be the best at what they do to remain relevant and continue to grow. Nurturing meaningful relationships with users (aka Retention Marketing) is a key dedicated workstream pursued by every successful platform to achieve its growth objectives.

The rest of this note presents to you the foundational concepts of Retention and Growth Marketing. While the original thought source is e-commerce, they are applicable for all domains in the digital ecosystem. (Any numbers quoted are indicative and directional only).

1. Acquire to Retain

User acquisition is a costly affair. While the initial set of users (often your brand proponents) get acquired organically through word of mouth, scaling to hundreds of millions of users typically requires significant spends (unless you are a Whatsapp or a Chatgpt). And given that the money is always limited, it requires a sharp segmentation strategy to focus on the right set of target audience to reach and acquire on the platform. Logically, it is the high LTV users to go after, even if they come at a higher acquisition cost. While this depends on the industry and the life stage of the company, as a rule of thumb, it generally takes 5x more spend to acquire a new user versus obtaining a repeat user transaction.

Who are high LTV users? High LTV here doesn’t just mean they are intrinsically high spenders, it means they are the ones who genuinely see more value in your product and hence use it more naturally. Always remember - in the long run, the product MUST generate as much or more value to the user (through convenience, ease of experience, value added features, personalised communications, et al) as much as the user spends on the platform (LTV).

Depending on the positioning of the platform, various signals give us direction on what is the nature of users who find the platform valuable. General parameters are:

  1. City Tier (Tier 1/2/3)
  2. Device type
  3. Gender
  4. Affluence (indicated by browse and shopping behaviour)
  5. Category of acquisition
  6. Channel (source) of acquisition
  7. Period/season of acquisition
  8. Discount seekers Vs full price shoppers

Cohort retention data bifurcated by each of the above parameters indicate clear differences in user segments prompting us towards: 1. Where to focus efforts to improve the platform (eg: Tier-3 users show poor retention because of higher delivery SLAs?) and more importantly 2. Which users to prioritise for acquisition. Cohort retention data coupled with other indicators like FOP (Frequency of Purchase), AOV (Average Order Value), ACV (Annual Consumption Value) and Conversion invariably give a comprehensive view of the strengths and improvement areas of the platform from the user lens.

The instinct of many teams is to chase volume - acquire as many users as possible and worry about retention later. Resist this. Retention begins at acquisition. The channels, offers and messaging you use to bring a user in largely determine the behaviour you get out of them. A user acquired on a flat 70% discount is very different from one who came in looking for a specific product they genuinely needed. The former is likely to expect perpetual discounting to return; the latter is far more likely to come back on their own.

2. The Core Product

The truth is - no matter how hard we try to retain the user with effective retention/growth marketing strategies, it's the strength & seamlessness of the core offering that trumps everything else. Users naturally open the Chatgpt app because of its core strength - the quick and meaningful (often delightful) responses to any question.

Consider Domino’s Pizza’s 30-minute delivery promise in its early scaling years - the confidence with which it committed to it was a core product differentiator, more than a marketing campaign. Or Amazon’s (US) relentless focus on fast, reliable delivery through Amazon Prime - the consistency and convenience of getting products quickly became the reason users came back, not just discounts or promotions. When the core is strong, retention is a tailwind. When the core weakens, no amount of communication or couponing can substitute.

It is imperative for the retention marketing team to monitor and highlight the trends of key operating metrics representing the strength of the core offering. Some guardrail metrics to track (as seen in the E-commerce domain):

  1. Width and depth of selection
  2. Stock availability, brokenness
  3. Pricing competitiveness
  4. Delivery SLA (promise)
  5. Breach rates
  6. NPS (Net Promoter Score)
  7. Mix of organic share of traffic
  8. Bounce rates & Homepage CTRs
  9. Conversion rates (order conv & each funnel stage progression)
  10. Payment success rates

Generally while the respective product owners (PMs) and BI teams are expected to track and flag any anomalies, governance of medium to long term trends at the platform level rests with business teams - especially the central growth & retention marketing team. This advice may sound mundane but note that many large companies over a period of time surprisingly lose track of these core metrics as they are taken for granted.

3. Early Engagement

If only one program needs to be picked and prioritised, invariably it’s going to be the early engagement program. This is the most critical phase post the user has done the first transaction (or the first key value event, often referred to as TTFV - Time to First Value) to continue to engage the user and solidify the fledgling relationship. This is critical because the user is naturally in a favorable state to organically access the platform and in a mode to listen to what is being presented after having just done a High Value Action (HVA) or a purchase event. Effective communication strategies to make the most in this phase include:

3.1 Product Recommendations

(anchored on the browse, purchase and demographic data of the user generated on the platform so far). It's important to establish that the platform understands the user well. On this matter, I often refer to the example of Netflix which shows powerful recommendations that keep improving as the user engages more with the platform and displayed via a very interactive and intuitive user experience.

(A side note: Netflix is one of my favourite digital platforms. With just about 100 people in the product and engineering team, it offers services in 180 countries with over 300 million monthly recurring paying customers! Being a purely technology platform company, its tech cost to revenue ratio is only about 6%, with over 50% net margin! More than the video content, this level of scale and margins is possible only because of a strong user engagement setup with effective recommendations that naturally keep the user coming back to the platform, without having to do promotions.)

3.2 Cross-sell

Cross-sell is about informing and nudging the user what to buy next that is most appropriate in conjunction to the product already bought (or is currently interested to buy). The premise here is the platform understands the category and this is a good avenue to share with the user what goes well with the product before/without the user having to make the effort themselves.

3.3 Replenishment

A key test of the recall/connect with the user - does the user organically think of the platform when the product purchased reaches a stage of complete consumption?

Replenishment is the communication and recommendation strategy nudging the user beforehand that specific items previously bought must have been near consumed and this is the ideal time to place the order to replenish the stock. It's also imperative to communicate what to buy next - the same product or close alternatives, upgrade options, larger pack sizes etc.

Metrics to track here:

It's key to monitor and take measures to improve replenishment by effective campaign and couponing initiatives.

3.4 Early Engagement Journey

Once the user completes the first transaction, early engagement journey kick starts a series of communications and triggers nudging the user to build-up on and progress further in the relationship. This will be a multi-touch-point (homepage/site/crm channels/remarketing ads/social media) multi-day journey covering the full scope of platform offerings (new categories, brands, selection, product/platform features) in addition to the above listed personalised messaging content.

Key metrics:

90-day retention (including visit activation and customer reactivation)

Churn rate (users who do not return after the first transaction within a defined window)

4. Loyalty Program

Loyalty by itself is a full fledged work stream but is a component of retention & growth marketing.

Technology is evolving at such a rapid pace that most of the strategies and initiatives discussed here have become standard offerings across platforms and also the users expect these by default. A loyalty program is a key differentiating lever that can effectively ringfence the user to the platform. This is especially true if it is orchestrated well. Loyalty entails offering peripheral value creating levers in addition to and in conjunction with the core platform offerings. Some examples:

  1. Reward points (conversion value, perceived value, earn rate, burn rate, net cost as a % to revenue)
  2. Monetary Benefits (such as extra discounts, free shipping etc)
  3. Experiential benefits (gift hampers, free product trials, celebrity meet and greet, perks like airport lounge access, 3p partner benefits like complimentary ott subscriptions, spa vouchers etc)
  4. Milestone based rewards
  5. Early access to sale events
  6. Early access to big product launches
  7. Dedicated/member only sale events (eg: Amazon prime day sale)

Loyalty is more about communication - reinforcing the value offered through effective nudges at multiple touch points (case in point: Swiggy's communication to One users: you saved so much in the last x days through the One subscription which costed you only y)

Various loyalty models exist: paid programs (where users pay an upfront subscription fee for enhanced benefits, like Amazon Prime or Swiggy One) and organic, spend-based programs (where benefits accrue progressively through transactions on the platform). Paid programs tend to attract higher-intent users and generate upfront revenue, but require a crystal-clear value proposition and inherently limit the addressable member base. Organic programs are easier to adopt but harder to make truly engaging. They risk devolving into just another discount mechanism if not thoughtfully designed and curated.

5. Lapse Prevention & Dormant User Reactivation

Every platform has them - users who sign up with intent, transact once or twice, and then quietly disappear. Understanding why users lapse (finding the core product and experience failure signals) - and building a system to prevent and recover - is one of the highest ROI levers in retention.

Defining Lapse: “Lapse” is category-specific: 30 days for high-frequency use cases (e.g., food delivery), 90-180 days for fashion, 180-360 days for electronics.

A simple segmentation:

At-risk: Early disengagement signals (lower visits, CTRs, browsing depth)

Lapsing: No recent transactions, but still occasional visits

Lapsed: No visits or transactions beyond the lapse window

Dormant: No activity for 6+ months

Lapse Prevention: Prevention is far cheaper than reactivation, and it starts early. Intervene at the first signs of disengagement (browse-without-action, drop in engagement, ignored communication).

Key levers:

Personalised nudges based on behavior, not just time

Contextual triggers (seasonality, replenishment cycles)

Price-drop alerts on viewed/wishlisted items

Reminding the value accredited so far (you saved x so far)

Social proof to create urgency without heavy discounting

Light incentives (e.g., free shipping) before users go fully inactive

A useful mental model: if your early activation and lapse prevention system is working well, your reactivation problem should keep shrinking over time.

Dormant User Reactivation: Reactivation is fundamentally different. You’re not nudging a user who is close to conversion; you’re trying to re-enter their consideration set after they’ve mentally moved on.

What works:

Acknowledge the gap (“We’ve missed you”, “A lot has changed since you were last here”)

Lead with what’s new (products, features, improvements)

Use strong incentives (economics still work vs. losing them entirely)

Win the visit first, then conversion

One hard truth: a large portion of dormant users are not coming back, and that’s okay. Chasing them indiscriminately is often negative ROI. The goal is not to maximise reactivation, but to maximise profitable reactivation. Targeting high value users within the lapsed segment is generally a good approach to take.

Metrics to track

Lapse rate (% entering lapse window)

Reactivation rate (% returning within 30/60/90 days)

Post-reactivation retention (are they truly back or just deal-driven?)

6. Couponing & Incentivisation

Couponing is simultaneously one of the most powerful and most abused tools in the retention marketer's toolkit. Used with precision, it drives the exact behaviour you want at the exact moment you need it. Used indiscriminately - it diminishes platform perception, trains users to never pay full price, erodes margin, and attracts a user base that has no loyalty to you but only to the discount.

The goal of couponing is not to subsidise a transaction that would have happened anyway. It is to unlock a transaction that would not have happened without the nudge.

Types of Incentives

The Economics of Couponing

Every coupon has a net cost - the discount value net of the incremental revenue and contribution margin it generates. While most teams measure couponing cost based on gross revenue uplift, taking a margin view (incremental margin generated) generally gives a better view of the equation especially while framing the construct that’s appropriate for the segment X category.

The key questions to always ask:

A useful framework here is the Coupon Efficiency Ratio (or RPC - Revenue per Cost) - the incremental GMV generated per rupee of coupon cost. At scale, even a marginal improvement in this ratio translates to significant savings. The best way to improve it is through personalisation - sending the right coupon (typically time bound) to the right user at the right time, rather than blanket distribution.

Common Pitfalls

7. CRM & CLM Marketing

CRM (Customer Relationship Management - more about the tools, channel infrastructure, system setup) and CLM (Customer Lifecycle Management - more about the strategy, journeys, RFM constructs) together form the operational backbone of retention marketing.

The Lifecycle Framework

At its core, CLM is about mapping the user journey into distinct, actionable stages - and designing interventions that move users forward or prevent them from slipping backward.

A strong lifecycle framework reflects your category’s natural usage patterns and business model. At a minimum, it should capture:

The key is not just defining stages, but ensuring clear entry/exit criteria - ideally behavioral, not just time-based.

Channels

IMP: Very critical to maintain a healthy ratio of intent servicing modules (Recommendations, Wishlisted, Last viewed etc) and intent creation modules that show new content for the user - launches, unexplored categories, top sellers etc. Every homepage A/B experiment will show metrics in favour of Reco modules BUT maintaining a good share of new promotional content is paramount for long term platform health. People want to see new exciting stuff.

Communication Hygiene

A few non-negotiables for any CRM setup to be sustainably efficient:

Some of the high quality channel/platform service providers for the Indian ecosystem:

(not recommendation, not a promotion)

Nudge; Clevertap; Gupshup; Netcore;

8. Key Metrics Recap

Below is a consolidated view of the metrics that matter most across the retention and growth marketing lifecycle. This is intended to serve as a quick-reference scorecard for practitioners:

Acquisition & LTV Metrics

Engagement & Retention Metrics

Communication Metrics

Loyalty Metrics

9. User Reactivation = Visit Activation × Conversion

A good model to keep in place while solving for any reactivation problem is the decompose reactivation into a two-step system:

Reactivation = Visit Activation × Conversion.

So classifying the program actionables into - first optimise for getting the user back (visit activation), then optimise for converting that intent (conversion).

9.1 Visit Activation: Getting the User Back to the Platform

Singular goal: get the user to open the app or visit the site. Nothing else. This requires a different type of communication from one designed to drive a purchase.

What drives visit activation:

• Intrigue and curiosity: 'Something big is coming - be the first to know.' Not a sales pitch but a teaser.

• Personalised 'what's new': Showing users specifically what has changed or been added in categories they care about since they last visited. 'Since you last visited, 47 new products were added in skincare' hits differently than 'Shop our new collection.'

• Social proof: 'People like you are buying this.'

• News and editorial content: Platforms that invest in content (buying guides, trend reports, how-to's) have an enormous advantage. Content gives users a reason to visit that isn't purely transactional.

• Event-based triggers: Seasonal events (festivals, weddings, back-to-school) create natural windows to reconnect with lapsed users in a contextually relevant way.

Metric: Visit Activation Rate - the % of users (from the segment) who visit the platform within a defined window of a reactivation trigger.

9.2 Conversion: Turning the Visit into a Transaction

Once the user is back on the platform, the conversion levers are more familiar:

Relevant landing experience: Take the user to a page or section curated around their demonstrated interests rather than landing on a generic homepage

Reduced friction: Saved addresses, saved payment methods, pre-filled cart - every reduction in friction improves conversion probability. The strength of the platform technology does the heavy lifting.

Incentive at the right moment: A coupon with the right construct (discount % and applicability thresholds) displayed at the right touchpoints - amplifies the value better giving more reasons to help user convert.

• Urgency: Limited stock banners & time-bound offers: Show only if true. (Users see through fabricated urgency and it damages trust).

Metric: Conversion Rate - the % of reactivated visitors who transact within 7/14/30 days of the visit.

9.3 The Compound Effect

The power of this decomposition is that it tells you exactly where the problem lies in your reactivation funnel. If your visit activation rate is high but conversion is low, the problem is on the platform or the offer. If your visit activation rate is low, the problem is in your communication or the user's perception of the platform's relevance to them. Solving for the wrong stage is a waste of spend.

At scale, Improving visit activation rate by even 2 percentage points across a dormant cohort of tens of millions of users translates to a massive absolute number of additional visits - and with even a modest conversion rate applied to those incremental visits, the revenue impact is substantial. Retention marketing, at its best, is a compound interest game. It is compounded over many optimisations across funnel, segmentation, communications, offers and channel mix.

10. Summary & Conclusion

True retention isn't just a metric; it is the digital evolution of the personal relationships that once defined the neighborhood grocer. Scaling often threatens this connection. Scaling to millions of users shouldn’t come at the cost of intimacy. In fact, it demands more of it. While growth tactics like couponing and campaigns are useful, they are merely amplifiers for a strong core product; without that foundation, no amount of marketing can substitute.

Retention is fundamentally a compound interest game. Every personalized touchpoint, every friction-reducing optimization, and every effort to understand the user’s journey compounds over time to build lasting loyalty. Ultimately, your goal is not to buy user attention, but to earn it. By prioritizing high-value acquisition, treating lapses as diagnostic signals rather than failures, and relentlessly focusing on the user’s experience, you turn the science of data into the art of connection. As you grow, keep iterating, keep experimenting, and never stop humanizing your approach to the digital landscape.