By Need - Data & Analytics

Data Analytics

GA4 + Meta CAPI correctly implemented. Blended ROAS dashboards that replace Monday spreadsheet exports. LTV cohort analysis that reveals which channels bring customers who come back. Attribution that reflects reality, not last-click guesswork.

30–60%
Conversions recovered
2.4×
LTV vs first-order CAC
5hrs
Saved per week
30–60%
Events recovered via CAPI
Server-side
CAPI and GA4 wired together
Cohorts
LTV by acquisition month
One dashboard
Ads, GA4 and Shopify together
The Measurement Problem

Broken data is worse than no data. It makes you confident in wrong decisions.

These are the six most common measurement failures we find on every eCommerce account we audit. At least three of them are present on every platform that has not had a dedicated analytics setup.

Last-click attribution giving Meta all the credit

Someone sees your Instagram Reel, searches your brand on Google, clicks a Meta retargeting ad, and buys. Your dashboard says Meta drove the sale. Your organic and brand search efforts are invisible.

Blended ROAS that hides channel-level truth

Your blended ROAS is 3.1x. But TOF Reels are at 1.2x and BOF DPA is at 8.4x. Scaling the blended number means scaling the wrong campaigns.

GA4 tracking broken after iOS 14 and GDPR

You are missing 30–60% of your conversions in GA4 because browser tracking is blocked. Without server-side events and CAPI, your data is fiction dressed as analytics.

No LTV data - optimising for first purchase only

Your Meta Ads optimise for purchase events. You have no idea if those customers come back. A customer with Rs 4,000 AOV but 4 purchases per year is worth 4x what your dashboard suggests.

Reporting that takes 2 hours to build each week

Someone on your team exports three spreadsheets, pastes them together, and emails a PDF on Monday morning. It is manual, slow, and always a week late.

No way to connect ad spend to actual revenue

Your ads dashboard shows spend. Your Shopify dashboard shows revenue. Nobody has connected them. You are flying blind on which campaigns are actually profitable after COGS and returns.

How We Build It

From broken tracking to a live dashboard in 2–3 weeks.

We audit first, fix the tracking layer, then build dashboards on clean data. There is no point building dashboards on incorrect events.

1
Analytics audit

We start by auditing what you have - GA4 events, Pixel firing, CAPI status, Shopify integration. Most setups have 5–10 gaps that make the data unreliable.

2
Tracking implementation

CAPI setup, GA4 eCommerce events, Pixel Standard Events - all verified with Meta Events Manager and GA4 Debug View before we consider the job done.

3
Dashboard build

Custom Looker Studio dashboard or HTML dashboard - blended ROAS, channel CAC, daily spend vs revenue, LTV cohorts. Shareable link, auto-refreshing.

4
LTV & cohort analysis

Shopify order data pulled and segmented by acquisition month and channel. 30/60/90-day repeat purchase rates. Which channel brings customers who come back?

5
Reporting cadence

Weekly performance summary auto-generated. Monthly deep-dive on LTV trends and attribution shifts. You stop building reports and start reading them.

The Stack

Tools we use. All either free or already yours.

Meta Pixel + CAPI

Server-side Conversions API alongside browser pixel. Recovers 30–60% of events lost to iOS 14 and cookie blockers. Essential for any Meta Ads account spending above Rs 30K/month.

GA4

Properly configured - eCommerce events, purchase data with correct currency and value, channel groupings, and custom audience segments. Not just installed - configured to actually answer questions.

Looker Studio

Custom dashboards pulling from GA4, Meta Ads, and Shopify simultaneously. Stakeholder-ready, auto-refreshing, shareable. Replaces the Monday morning spreadsheet export.

Shopify Analytics

Order-level data extraction for LTV cohorts, repeat purchase rate, and channel attribution. Connected to your ad spend data to produce true blended ROAS by channel.

BigQuery / Sheets

For larger data volumes - raw event data exported from GA4 into BigQuery or structured Google Sheets. Enables historical trend analysis beyond GA4 rolling windows.

Custom HTML Dashboards

For clients who need an embedded, branded analytics view - custom HTML + JS dashboards pulling from APIs. No third-party tool dependency, no monthly SaaS fee.

Six Services

From broken pixel to blended ROAS dashboard.

Every engagement starts with an audit. We do not build dashboards on top of broken tracking.

GA4 + Meta Pixel + CAPI Setup

Full measurement stack implementation - GA4 property configuration, Meta Pixel with all 8 standard events, Conversions API (server-side) for iOS-14-proof tracking, and event validation. Captures what browsers block.

Fixed-price Learn more

Blended ROAS Dashboard

Custom dashboard pulling spend from Meta Ads Manager and revenue from Shopify or your CRM - daily blended ROAS, channel-level breakdown, CPP by campaign, and CAC trends. Built in Looker Studio or a custom HTML dashboard.

Fixed-price Learn more

Customer LTV & Cohort Analysis

Shopify order data segmented by acquisition channel and month - 30/60/90-day repeat purchase rate, LTV by cohort, and contribution margin per customer segment. Know which channel acquires your best customers, not just the most customers.

Fixed-price Learn more

Attribution Modelling

Multi-touch attribution built on your actual order data - first-touch, last-touch, and data-driven models compared. Identify where organic, paid, and direct channels are being credited correctly, and where they are not.

Fixed-price Learn more

eCommerce Analytics Audit

Full audit of your existing GA4, Meta Pixel, and Shopify analytics setup - duplicate events, missing events, incorrect currency, broken checkout funnel tracking, and attribution window mismatches. Delivered as a fix report.

Fixed-price Learn more

Ongoing Analytics Retainer

Monthly analytics management - weekly performance reports, dashboard maintenance, ad hoc data pulls, and quarterly LTV updates. You get clean data and clear answers, not raw spreadsheets.

Monthly retainer Learn more
What Clean Data Delivers

Better data leads to better decisions.

30–60%
Conversions recovered

Events lost to iOS 14 / cookie blockers recovered after CAPI implementation.

Attribution fixed
Clean conversion data

Server-side events, deduplicated pixel firing and consistent UTM rules, so cost per purchase is measured against something real.

Cohorts built
LTV against first-order CAC

Repeat-purchase cohorts modelled from your own order history, so lifetime value sits next to acquisition cost instead of first-purchase ROAS.

Dashboards live
No more manual exports

Auto-refreshing dashboards replacing the weekly spreadsheet export, so the numbers are there when someone asks.

How We Engage

Start with the audit. Build from there.

We audit your existing tracking before recommending any implementation. Most platforms need fixes before dashboards.

Tracking Setup Sprint

CAPI + GA4 + Pixel correctly implemented and verified. 1-week fixed-price engagement. The foundation everything else depends on.

Analytics + Dashboard

Tracking setup + custom Looker Studio or HTML dashboard. Blended ROAS, channel CAC, LTV cohorts. 2-week fixed-price.

Analytics Retainer

Monthly: dashboard maintenance, weekly reports, ad hoc data pulls, quarterly LTV analysis. Ongoing measurement partner.

FAQ

Analytics questions we answer every week.

Free audit of your existing GA4 and Pixel setup. We tell you what is wrong before you spend a rupee.

Book Free Tracking Audit
What is CAPI and why do we need it?
Meta Conversions API (CAPI) is server-side event tracking that sends purchase and conversion data directly from your server to Meta - bypassing browser-based blocking from iOS 14, Safari ITP, and ad blockers. Without it, Meta is missing 30–60% of your actual conversions and optimising your campaigns against incomplete data. The result is inflated CPP and misallocated budget.
We already have GA4 installed. Is that enough?
Installation and configuration are different things. Most GA4 setups we audit have missing eCommerce events (purchase values wrong or zero), incorrect currency, broken checkout funnel steps, and no channel grouping. We audit your existing setup first and fix what is missing before building anything on top of it.
What does a blended ROAS dashboard actually show?
Daily spend from Meta Ads Manager vs daily revenue from Shopify - by channel and by campaign. CPP trend over time. CAC by acquisition source. LTV cohort by month. It replaces three manual spreadsheet exports with one auto-refreshing view that is always current.
Can you connect Shopify order data to our ad account?
Yes. We pull Shopify order data via API, tag orders by UTM source, and connect them to Meta spend data to produce true blended ROAS - including orders that were not tracked by the pixel. This is significantly more accurate than either platform reports individually.
How long does a full analytics setup take?
CAPI + GA4 + Pixel verification: 3–5 business days. Dashboard build: 3–5 additional days. LTV cohort analysis: 1 week after order data is extracted. Full setup from audit to live dashboard: 2–3 weeks depending on data volume and platform complexity.
Do we need separate analytics tools or can you work with what we have?
We work with what you have where possible. GA4 and Looker Studio are free tools that cover most needs. BigQuery is only necessary for high-volume stores with historical data requirements beyond GA4 windows. We do not recommend paid tools unless they solve a specific problem the free stack cannot.

You are making decisions on broken data. Let us fix that.

Free tracking audit. CAPI live in a week. Blended ROAS dashboard in two. Stop guessing.