At any given time, Priya's brand has five people she considers her marketing team. None of them are on payroll. There's the influencer agency in Gurugram. The PR studio in Mumbai. The affiliate network coordinator. The Google Ads freelancer. And the Meta specialist her co-founder found through LinkedIn.
Priya is the founder of a Pune-based personal care brand. She spends about ₹8 lakh a month on marketing. She has never, in two years of operation, had a single dashboard that showed her what all of that money was doing.
The attribution conflict problem
When different agencies all try to claim credit for the same conversions, their numbers don't just fail to add up — they actively mislead. A customer might be claimed by the influencer agency (using a longer attribution window), the PR agency (tracking referral traffic), and the performance team (last-click). The brand's reported numbers add up to more than 100% of actual conversions.
What shared infrastructure looks like
The solution is architectural: the brand needs to own its attribution layer, and every agency needs to plug into it rather than running parallel measurement systems. Every external partner operates through the brand's tracking infrastructure. Agencies can still see their own performance data — but the brand sees everything, on the same scale, using the same attribution methodology.
What's interesting about brands that move to this model is what it does to their agency relationships. Agencies that are genuinely performing benefit immediately — their real results are visible and undeniable. Agencies that were obscuring poor performance behind favorable metric selection have a harder time. This is a feature, not a bug.