The Problem Isn't Your Tools. It's What and How They're Tracking
Every team has GA4, Mixpanel, Adobe or Amplitude, yet nobody trusts the numbers. Events are missing or wrongly tagged, conversions fire twice, UTMs break, and the app and website disagree about the same customer. Marketing can't say what it returned, product can't trust the funnel, and every review ends in "let me get back to you on that."
The answer isn't another tool, it's fixing measurement at the source: clean event tracking, a governed data layer, consistent data everywhere. Then ONE CX™ ties it to revenue and retention.
Analytics, Measured to Outcomes You Can Prove
Tracked completely, governed properly, attributed to revenue, so every team trusts the same numbers.
rStorefront, a hyperlocal retail platform
We instrumented product funnels, store performance and retailer behaviour on rStorefront's real-time event backbone, store by store, in a 13-million-retailer market. The product team could see exactly where retailers activated, engaged and dropped.
SUD Life Insurance
We rebuilt marketing analytics from the ground up. One data-layer schema and server-side GA4 across website, intranet and portal, with attribution wired to revenue events. Marketing and leadership finally worked from one trusted view of what drove sales.
Government of Assam, a state government
Eight departments, every team on its own siloed tracker. With the World Bank, we built one centralised real-time monitoring system, live dashboards from on-ground workers to senior bureaucrats, so the whole programme could be discovered, budgeted and acted on from one view.
Analytics, Measured to Outcomes You Can Prove
Tracked completely, governed properly, attributed to revenue, so every team trusts the same numbers.
Product Analytics
See why customers activate, stay or drop, Mixpanel and Amplitude instrumented for the funnels that matter.
Marketing & Web Analytics
Know which campaigns actually work. GA4 and Adobe configured correctly, every source, journey and conversion tracked across web and app.
Dashboards & Reporting
One trusted view, the live dashboards leadership reads, tied to revenue and retention.
Government of Assam, a state government
Eight departments, every team on its own siloed tracker. With the World Bank, we built one centralised real-time monitoring system, live dashboards from on-ground workers to senior bureaucrats, so the whole programme could be discovered, budgeted and acted on from one view.
"The biggest measurement problem isn't the dashboard, it's the telemetry beneath it.
We've found that when the event model is consistent and the data layer is engineered properly, trust in the numbers follows naturally."
- Sid Singh, Head of Data Analytics - ONE CX
Analytics Stack We Work On
Analytics Stack We Work On
Tool-agnostic by design, we implement, govern and run the analytics stack you already use, across marketing, product and reporting.
Marketing & Web Analytics
Google Analytics 4 (GA4)
Our default for web and campaign analytics, free, deep and the standard most Indian marketing teams already run on.
Adobe Analytics
Adobe Experience Manager (AEM)
Google Tag Manager (GTM)
Segment
Microsoft Clarity
Product Analytics
Mixpanel
Our pick for fast product insight, funnels, retention and cohorts that PMs can explore without waiting on data teams.
Amplitude
PostHog
Heap
Dashboards & Reporting (BI)
Tableau
Our pick for rich, exploratory analytics when analysts need to slice deep and visualise complex data freely.
Power BI
Google Looker Studio
Snowflake
Baseline Architecture
Measurement Plan
What to track and why, events, properties and KPIs mapped to the questions the business actually asks.
Complete Instrumentation
One Clean Data Layer
Governance & QA
Consent & DPDP
Attribution & Outcome Reporting
Why India's CMOs, CPOs and CDOs Trust ONE CX With Their Data Analytics
01
Numbers That Are Right Before Anyone Reads Them
You get data you can act on, not a prettier report on broken tracking. We fix it at the source, events, data layer, taxonomy, so the numbers hold up before they reach you.
Numbers That Are Right Before Anyone Reads Them
You get data you can act on, not a prettier report on broken tracking. We fix it at the source, events, data layer, taxonomy, so the numbers hold up before they reach you.
02
Web and Product, One Clean Setup
GA4 and Adobe for marketing, Mixpanel and Amplitude for product, instrumented on one data layer, so the CMO and CPO finally see the same user, not two halves.
Web and Product, One Clean Setup
GA4 and Adobe for marketing, Mixpanel and Amplitude for product, instrumented on one data layer, so the CMO and CPO finally see the same user, not two halves.
03
Proven at Scale, From Startups to Governments
We set up analytics for SUD Life's growth engine and a large-programme monitoring system for the Government of Assam, the same rigour, whatever the scale.
Proven at Scale, From Startups to Governments
We set up analytics for SUD Life's growth engine and a large-programme monitoring system for the Government of Assam, the same rigour, whatever the scale.
04
Your Data, Your Stack, Your Ownership
Everything runs on the tools you already license, documented and handed over, your team owns the setup, the data and the dashboards. No black box, no lock-in.
Your Data, Your Stack, Your Ownership
Everything runs on the tools you already license, documented and handed over, your team owns the setup, the data and the dashboards. No black box, no lock-in.
FAQs
What does ONE CX actually do in an analytics engagement?
We set up your analytics end to end, a measurement plan, complete event tracking across web and app (GA4, Adobe, Mixpanel, Amplitude), one clean data layer, governance and QA so the numbers stay trustworthy, and reporting that ties tracking to revenue, funnels and retention. Set up right, then run.
Our GA4 is already set up. Why redo it?
Most GA4 setups look fine until someone asks a revenue question. Events fire twice, conversions are misdefined, half your 'direct' traffic is really untagged campaigns. We audit what's firing, fix the instrumentation at source, and rebuild trust in the numbers, usually without changing the tool.
Do you do product analytics too, or just marketing?
Both. GA4 and Adobe for marketing and web, Mixpanel and Amplitude for product funnels and retention. The point is to instrument them on one data layer, so the CMO's campaign numbers and the CPO's funnel numbers describe the same user, not two disconnected stories.
How is this different from your data engineering work?
Data engineering builds the pipelines and warehouse that move and store data. Analytics implementation sets up the tracking that generates it, events, tags, SDKs, the data layer, and ties it to outcomes. They build the plumbing; we install the meters. On bigger engagements we do both.
Isn't this the same as ROI attribution?
Attribution is part of it, the part that ties spend and events back to revenue, but it only works if the measurement underneath is clean. We fix tracking at the source first (events, data layer, governance), then attribute, multi-touch, not last-click. Attribution on broken measurement just produces confident wrong answers
How do you handle DPDP and consent in tracking?
Consent-mode and purpose-bound tracking are built in from the start, not bolted on. We capture only consented, purpose-bound data with the audit trail to prove it, so your measurement stays defensible as DPDP enforcement tightens toward 2027, without going dark on the data you're allowed to use.
Who owns the setup and the data?
You do. Everything runs on the tools you already license, fully documented and handed over, your team owns the tracking plan, the data layer, the events and the dashboards. We set it up and run it with you, never as a black box you can't see into or leave.
How long does a proper analytics setup take?
A focused audit and fix lands in weeks, not months; a full instrumentation across web and app, with governance and outcome reporting, typically runs a quarter. You see trustworthy numbers early, and the setup keeps paying off as your team builds on a foundation that holds.
Which sectors do you run analytics for?
BFSI, retail, government and consumer platforms, among others. We rebuilt SUD Life's marketing analytics in insurance, instrumented rStorefront's retail platform, and built the Government of Assam's programme monitoring system with the World Bank. Regulated sectors get the same treatment as everyone else: consent-first, DPDP-aligned tracking from day one.
Stop Guessing. Start Trusting Your Numbers. Complete data analytics, measured and attributed to revenue, so every number holds up when leadership asks.