AI & Data Analytics

From scattered data to decisions

Most companies don’t lack data; they lack a single, trustworthy view of it. Ad platforms, the website, the CRM and the sales team each tell a different story, so decisions get made on gut feel. We build one source of truth, clean, connected and updated automatically. With dashboards that answer the questions that actually matter: what’s driving revenue, what’s leaking, and where the next rupee is best spent.

Attribution that proves what works

The most expensive marketing question is ‘which channel actually earned this sale?’, and most businesses can’t answer it. We build multi-touch attribution that traces every lead from first touch through conversion and repeat business, ties it to real cost per lead and return on ad spend, and closes the loop back to Google and Meta so the platforms optimise on real outcomes. That’s how wasted spend gets cut and cost per lead falls over time.

Forecasting, not just reporting

A report tells you what already happened; a forecast tells you what to do next. We layer modelling and AI on top of your data, revenue-risk scoring, demand and pipeline forecasts, segment-level predictions, so you can act before problems show up in the numbers, not after. The point of analytics isn’t a prettier dashboard; it’s a business that makes its next decision with confidence.

Fixing the tracking before trusting the numbers

Most analytics problems are really data-quality problems. If your GA4 is double-counting, your conversions aren’t firing reliably, or consent and privacy changes have blown holes in the data, every dashboard built on top inherits the error, and decisions get made on numbers that quietly lie. So step one is always a measurement audit: verifying events, deduplicating conversions, reconciling platform figures against actual sales, and setting up server-side and first-party tracking that survives cookie and privacy shifts under the DPDP era.

Only once the foundation is trustworthy do the attribution models and forecasts mean anything. It’s unglamorous work, but it is the difference between analytics that guides budget and a dashboard that merely looks confident. This is the same measurement layer that powers our performance marketing and lets us cut wasted spend on evidence.