The grid reveals the invisible system that shaped every pixel of our work.

Data Analytics Implementation, Measured and Attributed to Revenue

Every event tracked correctly. Every number trusted. Every investment connected to revenue.

Customer Experiences delivered across enterprises and global brands

Image
Image
Image
Image
Image
Image
Image
Image
Image
Image
Image
Image
Image
Image
Image
Image
Image
Image
Image
Image
Image
Image
Image
Image
Image
Image
Image
Image
Image
Image
Image
Image
Image
Image
Image
Image
Image
Image
Image
Image
Image
Image
Image
Image
Image
Image
Image
Image
Image
Image
Image
Image
Image
Image
Image
Image
Image
Image
Image
Image
Image
Image
Image
Image
Image
Image

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 with, "Let me get back to you on that."

The answer isn't another tool. It's fixing measurement at the source.C lean event tracking, a governed data layer and consistent data across every touchpoint. Then ONE CX™ connects it all to revenue and retention.

Analytics Measured Against Outcomes You Can Prove

Tracked completely, governed properly and attributed to revenue, so every team can trust the same numbers.

OUR CAPABILITIES

Product Analytics

See why customers activate, stay or drop, with Mixpanel and Amplitude instrumented around the funnels that matter.

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.

Marketing & Web Analytics

Know which campaigns actually work, with GA4 and Adobe configured correctly, every source, journey and conversion tracked across web and app.

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.

Dashboards & Reporting

One trusted view of performance. Live dashboards that connect every metric to revenue, retention and growth.

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

Tool-agnostic by design. We implement, govern and operate the analytics stack you already use, across marketing, product, data and reporting.

Marketing & Web Analytics

Google Tag Manager (GTM)

Our pick for clean, governed tag and event management, so tracking changes don't need a developer every time.

Adobe Analytics

Segment

Rudderstack

Product Analytics

Mixpanel

Our pick for funnels, activation, retention and cohorts that help product teams understand what drives customer behaviour.

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 to Run Their Analytics

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.

Can you work with the analytics tools we already use?

Yes. We are tool-agnostic by design. If GA4, Adobe, Mixpanel, Amplitude, Segment, RudderStack or your existing BI stack is doing the job, we work with it. We only recommend changing tools when the current stack genuinely limits what you need to measure or achieve.

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 do you connect analytics to revenue and retention?

We map events, journeys, campaigns and customer outcomes to the business metrics that matter ,conversion, revenue, retention and customer value. Where the data supports it, we build attribution and outcome reporting that shows which channels, journeys and behaviours are contributing to those results.

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.

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, data and dashboard?

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.

What happens after implementation? Do you operate the analytics stack?

Yes. Implementation is only the beginning. We can continue to govern and operate the measurement layer, monitoring data quality, managing tracking changes, maintaining dashboards, validating new releases and keeping the measurement framework aligned with business priorities.

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

Strapi Image
Strapi Image
Strapi Image

Stop Guessing. Start Trusting Your Numbers. Complete data analytics, measured and attributed to revenue, so every number holds up when leadership asks.