Beyond the First Purchase: Rethinking Performance in India's Commerce Market

As customer expectations evolve and the cost of driving conversions rises, Indian commerce brands face a fundamental question: how effectively is marketing translating into lasting customer value?

For years, digital commerce has focused on driving more conversions at lower costs. But as the Indian market matures, the relationship between conversion efficiency and business profitability is coming under greater scrutiny.

A user who completes a desired action may never progress to a purchase. A first-time buyer may never return. And a campaign that delivers conversions efficiently may still struggle to demonstrate its contribution to long-term business value.

Affle’s Gulrez Alam points to a broader shift in performance marketing in the latest edition of Affle X Appsflyer State of Commerce for Marketers, India 2026, connecting marketing investment more directly with measurable outcomes and the value customers create over time.

Beyond Conversion Volume: Measuring What Matters to the Business

The disconnect between marketing metrics and business outcomes is not necessarily a question of awareness. Most marketing leaders understand the importance of retention, lifetime value and repeat purchases. The challenge lies in translating these priorities into the metrics that guide campaign optimisation and commercial decisions.

As Gulrez explains:

"While CMOs measure business health on first-time buyers and net margin, the broader ad-tech ecosystem still transacts primarily on top-of-funnel currency: CPMs, CPCs, and Cost-Per-Install (CPI). This gap creates noise, operational friction, and hidden costs across the growth engine."

The consequences extend beyond measurement discrepancies. When campaigns are optimised around installs, platforms may be rewarded for generating conversions that never progress to meaningful customer activity. Brands may then need to invest further in retargeting to bring those users closer to a purchase, while internal teams reconcile acquisition efficiency with profitability.

The answer lies in aligning optimisation, commercial models and accountability with business outcomes.

"Closing the gap requires aligning the commercial model, optimisation signals and accountability around business outcomes. First, outcome-based contracting: move beyond upfront CPI towards models such as Cost-Per-Converted-User (CPCU) or post-install milestones, tying media costs more closely to verified outcomes."

This also requires a stronger feedback loop between campaign performance and downstream customer behaviour. Post-install conversion events and, where appropriate, basket-value signals can help inform optimisation decisions, while shared measures of retention, repeat purchases and payback can bring marketing and business teams closer to a common definition of success.

The objective is not to discard traditional acquisition metrics, rather to ensure that they are evaluated in the context of what happens after the initial conversion.

Repeat User Conversion: Making Retention Part of the Growth Equation

For commerce brands, the first purchase is only one stage of the customer journey. The economic value of a customer often becomes clearer through subsequent purchases, making repeat user conversion an important consideration in marketing investment decisions.

However, the pressure to demonstrate new user conversion can make it difficult for businesses to give repeat customer engagement the attention it deserves.

This becomes particularly relevant when the economics of a first transaction are marginal and profitability depends on customers returning over time.

Gulrez suggests that the shift towards retention requires evidence of its contribution to business performance, rather than simply an argument for its strategic importance.

"Shifting budget from new downloads toward retention isn't a strategy debate; it is a proof-of-work problem. The challenge is proving when retention should take priority. That requires looking beyond download and acquisition volumes to understand where profitability actually emerges across the customer lifecycle."

Understanding this requires a closer examination of customer behaviour over time. Which customer groups return to make another purchase? How quickly do they contribute to profitability? Which engagement strategies encourage repeat transactions, and how does their cost compare with driving new user conversions?

These questions can help brands identify where additional investment is most likely to deliver value.

For instance, if customer analysis demonstrates that re-engaging an existing buyer shortens the payback period, the business case for repeat user conversion becomes stronger.

This reframes retention as an investment decision. Rather than treating it as a separate activity owned by CRM teams, brands can assess it alongside acquisition through a shared understanding of customer economics.

What Early Customer Behaviour Can Tell Us About Future Value

One of the challenges in commerce marketing is that customers with very different long-te

One of the challenges in commerce marketing is that customers with very different long-term potential can look similar at the beginning of their journey.

Two users may respond to the same promotion and complete a purchase. One may return regularly, while the other may only engage when a compelling discount is available.

Distinguishing between these behaviours takes time and evidence. A first transaction alone cannot reliably establish whether someone will become a repeat customer.

"There is no magic switch to deterministically separate them from loyalists on day one. Attempting to draw a hard line on day one is a recipe for false positives."

Rather than making definitive assumptions too early, brands can build a more informed understanding of customer potential by observing behaviour in the days following the first conversion.

The breadth of a customer's product exploration, the composition of their basket and their interactions after a purchase can all provide useful context. Someone who explores multiple categories, considers complementary products or returns to check an order may be exhibiting different behaviour from someone whose interaction begins and ends with a single discounted purchase.

For commerce brands, this creates an opportunity to make subsequent engagement more relevant. Rather than approaching every new customer in the same way, marketing teams can use observed behaviour to guide the timing and nature of follow-up communication.

The objective is not to predict a customer's lifetime value with certainty from the outset. It is to improve marketing decisions as the customer relationship develops, creating more opportunities for repeat user conversion while directing investment towards meaningful outcomes.

What global shifts in performance marketing mean for India

India's commerce market has developed considerable performance discipline, shaped by competition, price sensitivity and the need to scrutinise acquisition economics. But some of the next challenges facing Indian marketers are being shaped by changes in the wider digital ecosystem.

One is the evolving availability of granular user-level signals. As measurement and targeting environments change, deterministic retargeting alone becomes a less dependable foundation for performance. First-party data, predictive modelling and broader behavioural signals will become increasingly important to understanding customer intent.

Next, as consumers move across mobile apps, connected TV (CTV), retail environments and other digital touchpoints they discover products, evaluate options and make purchases differently than before. Understanding how these interactions contribute to downstream outcomes will require measurement approaches that account for increasingly fragmented customer journeys.

The third shift concerns attribution.

Last-touch attribution remains useful for certain operational decisions, but it offers an incomplete view of performance when multiple channels influence a conversion. Gulrez suggests

"As user-level signals compress, global commerce leaders have stopped relying on last-touch attribution dashboards alone. They embraced modern, AI-driven Media Mix Modeling (MMM) to measure true incrementality across blended channels. Indian CMOs will soon make the same transition—moving past single-touch attribution rules toward holistic incrementality testing."

For Indian brands, the opportunity is to strengthen these measurement capabilities alongside existing performance frameworks. Rather than relying on a single metric or attribution method, marketers can build a more comprehensive view of how channels contribute to business outcomes.

This becomes particularly important as customer journeys span more screens and environments, making it harder to evaluate each interaction in isolation.

The question worth asking next

India’s eCommerce opportunity is not just about how many consumers brands can bring through the door. It is about what happens after they arrive.

Do they return? Do their needs evolve? Does the relationship become more valuable over time? And can the business connect those outcomes to the decisions it makes today?

The first purchase offers a starting point, not a final judgement. The real opportunity lies in understanding the behaviour that follows, and using that understanding to turn consumer intent into meaningful conversions and lasting business value.