How to fix your attribution model before you scale: step-by-step for Indian D2C brands
Garage Collective
Growth Team
Step-by-step guide to fixing attribution models for Indian D2C brands before scaling.
The Real Problem with Attribution
Attribution is a perplexing challenge for Indian D2C brands. It's not just about tracking conversions; it's about understanding the journey each customer takes before they hit 'buy'. However, most brands still adhere to outdated last-click models, which credit the final touchpoint for a sale. This approach is like awarding the last runner in a relay race all the glory, ignoring the efforts of the previous runners who handed over the baton. In India's complex digital landscape, where multi-channel interactions are the norm, this method misses the forest for the trees.
Consider a D2C brand selling artisanal beauty products. A customer might first encounter an Instagram ad, then read a blog review, before finally purchasing via a Google search. If the attribution model only recognizes the Google search, it undervalues the crucial role of social media and content marketing. This skewed understanding often leads to misallocated budgets and a hindered ability to scale. The real problem is that these brands aren't just losing sight of where conversions happen; they are losing sight of where influence happens.
Why Conventional Approaches Fail
The traditional last-click attribution model is a relic from a simpler time, when digital marketing was less fragmented. Brands trust it for its simplicity, but that simplicity is deceptive. It gives a false sense of security by offering clear, albeit incomplete, attribution lines. This approach fails spectacularly in today's multi-channel, device-switching consumer journeys. For instance, data shows that 70% of consumers may switch devices before purchasing, yet last-click models ignore this entirely.
From an agency perspective, relying on such models signals a lack of strategic depth. When a brand briefs us with a last-click-only mindset, it indicates a missed opportunity to understand the customer journey holistically. It's not just a tactical error; it's a strategic misstep that could cost growth. The data is stark: brands that diversify their attribution models often see an increase in ROAS by 20% or more, mainly because they can allocate resources more effectively.
The Step-by-Step Attribution Fix
Fixing attribution models requires a structured approach. Here’s a step-by-step guide that we recommend:
1. Adopt a Multi-Touch Attribution Model: Start by transitioning from last-click to a multi-touch attribution model. This model allocates credit to multiple touchpoints along the customer journey, providing a more comprehensive view of what drives conversions.
2. Leverage Data Analytics: Use advanced analytics tools to track interactions across channels. This includes social media engagements, content views, and email opens. Tools like Google Analytics or our proprietary GTrack system can provide insights into each touchpoint's contribution.
3. Integrate Offline and Online Data: Many Indian brands have both online and offline presences. Integrating these data points ensures a holistic view of customer interactions. This might involve syncing CRM data with online analytics to evaluate the entire customer journey.
4. Regularly Audit and Adjust: Attribution isn’t a set-and-forget strategy. Regularly audit your attribution models to ensure they reflect current consumer behaviors. This might mean adjusting weightings as new channels gain prominence or as consumer habits shift.
By implementing these steps, D2C brands can gain a clearer understanding of where to focus their marketing efforts, leading to improved budget allocation and increased sales.
Success Stories from Indian D2C Brands
Let's take Nykaa, a leading Indian beauty e-commerce platform, as an example. Nykaa implemented a multi-touch attribution model and saw a significant uplift in their ROAS. By recognizing the impact of initial touchpoints like influencer videos and blog content, Nykaa was able to reallocate their resources more efficiently. Their revised attribution model revealed that initial brand interactions via social media were crucial in nurturing potential customers who eventually converted through retargeted ads on Google.
Similarly, Mamaearth, another fast-growing D2C brand, discovered through detailed attribution analysis that their content marketing efforts were undervalued. With a revised model, they identified key content pieces that were instrumental in moving customers through the funnel. As a result, they reallocated budget from underperforming channels to content creation and influencer partnerships, resulting in a 30% increase in conversions over a quarter.
Implementing the Fix Today
To start implementing these changes today, consider the following steps:
1. Evaluate Your Current Model: Assess your current attribution model. Identify its limitations and areas where it may not capture the full customer journey.
2. Invest in the Right Tools: Equip your marketing team with tools that support multi-touch attribution. This could be a mix of free and paid solutions, depending on your budget and needs.
3. Educate Your Team: Ensure that your marketing team understands the importance of attribution models beyond last-click. Conduct training sessions or workshops to align team knowledge with the new strategy.
4. Test and Iterate: Begin with a pilot project. Test your new attribution model on a smaller campaign to understand its effectiveness. Use insights from this test to iterate and refine your approach.
The journey to fixing attribution models is ongoing but essential for sustainable growth. By understanding and implementing a holistic attribution strategy, brands can better navigate the complex consumer landscapes unique to India.
In closing, attribution models are more than just a technical fix; they are a strategic necessity. As Indian D2C brands evolve, the ability to accurately measure and respond to consumer behavior becomes indispensable. The question is, how will your brand evolve its attribution strategy to stay ahead of the curve?
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