Marketing analytics & attribution in Mumbai, India Know what's actually working.
Marketing produces more data than most teams can use. The useful part is knowing which signals deserve a decision.
We connect search, media, analytics and commercial performance so teams can understand what is working, what is not, and what needs to happen next.
One dashboard cannot solve a measurement problem.
A dashboard can organise information. It cannot decide what should count as success, how late attribution should be treated, which channels are overlapping or whether a platform is taking credit for demand created elsewhere.
Bring the useful systems together.
- GA4
- Google Search Console
- Google Ads
- Meta
- Commerce / Shopify or equivalent
- CRM and lead-quality data
- Inventory and product data where relevant
- Search Console generative AI reporting where available
Attribution is a model, not a fact.
Different systems see different parts of the journey. We use attribution models as evidence — not as universal truth. The objective is to understand where the model is useful, where it is systematically biased and what decision remains robust across multiple views.
Recent performance needs maturity rules.
Recent revenue and conversion data can continue to backfill. Treating an incomplete period as final can create unnecessary budget changes. We define reporting windows and maturity rules so teams know which numbers are stable enough to act on.
Reporting should end with a decision.
Every recurring report should make it easier to answer: what changed, why did it change, what do we believe, what do we need to test and what are we doing next?
Experimentation turns uncertainty into a plan.
Not every question can be answered with attribution alone. When the stakes justify it, we use structured tests, geographic variation, holdouts or defined pre/post comparisons to create better evidence.
What we build.
- Measurement strategy
- GA4 and event-review frameworks
- Channel and business dashboards
- Attribution views
- Media + revenue reporting
- Category and product-level analysis
- Testing frameworks
- Executive summaries and action logs
The point of analytics is not to know more.
The point is to make the next decision with less uncertainty.
Talk to us about measurement.
If the team has multiple dashboards but still argues about what happened, the problem may be the measurement model rather than the reporting tool.