Analytics and Conversion Tracking — Numbers You Can Actually Act On
Every optimisation decision you make is only as good as the data underneath it, and on most accounts that data is quietly wrong.
- D2C & ecommerce
- B2B & SaaS
- Real estate
- Healthcare & clinics
- EdTech & coaching
Meta says forty purchases, Shopify says twenty-six, GA4 says thirty-one, and the team spends the meeting arguing about which is right instead of deciding anything. This is the normal state of an untended measurement stack, and it makes every downstream decision a guess.
The fix is not a new dashboard. It is correct event definitions, deduplicated server-side events, consistent UTM discipline, and one agreed source of truth for revenue: with the platform numbers understood as directional signals for their own optimisation rather than as accounting.
Is this the right fit?
- Brands where platform-reported revenue and actual revenue diverge badly
- Accounts that migrated to GA4 and never rebuilt their conversions properly
- Shopify stores without server-side tracking or the Conversions API
- Lead-gen businesses where the sale closes offline and never gets attributed
- Teams making budget decisions from numbers nobody fully trusts
What analytics & tracking includes
Measurement audit
Every tag, event, conversion action and data source mapped, with duplicates, gaps and definitional mismatches documented against a reconciliation of actual revenue.
GA4 rebuild
Proper ecommerce or lead events, key events configured, channel groupings corrected, internal traffic filtered, and reports built around the questions you actually ask.
Server-side tracking
Server-side tagging with Meta Conversions API and Google Ads enhanced conversions, with correct deduplication so events are not double-counted.
UTM and naming discipline
A documented convention applied across every channel, so campaign reporting stops fragmenting into fifty variations of the same source.
Offline conversion import
For lead-gen businesses, closed-won data pushed back into Meta and Google so bidding optimises toward revenue rather than form submissions.
Blended reporting
One view combining spend across channels against actual store or CRM revenue (MER, blended CAC and contribution margin) so nobody optimises a single platform's self-reported ROAS in isolation.
How we run it
Reconcile
Compare platform reporting against the actual source of truth for a fixed period and quantify the gap. This is the step that makes the problem concrete.
Rebuild events
Correct event definitions and conversion actions across GA4, Meta and Google Ads.
Go server-side
Implement server-side tagging and Conversions API with deduplication verified through real test purchases.
Standardise
UTM conventions, naming standards and documentation your team can maintain after we leave.
Report on what matters
A single blended view, with defined ownership and a fixed review cadence.
What you actually get
- Measurement audit and reconciliation document
- Rebuilt GA4 property with verified key events
- Server-side tagging and Conversions API implementation
- Google Ads enhanced and offline conversion setup
- UTM convention document and tracking template
- Blended performance dashboard
How pricing works
Usually a fixed-fee implementation project, followed by a small monthly amount for maintenance if you want the stack monitored. It is normally the cheapest engagement we run and the one with the largest downstream effect.
Questions and topics this covers
- — Meta Conversions API setup India
- — GA4 ecommerce tracking setup
- — why do Meta and Shopify numbers not match
- — server side tracking for Shopify
- GA4
- Google Tag Manager
- Conversions API
- server-side tagging
- attribution window
- deduplication
- UTM
- MER
- blended ROAS
- offline conversion import
Analytics & Tracking: frequently asked
Why do Meta, GA4 and Shopify all report different numbers?
Because they measure different things. Meta credits a purchase to an ad view or click within its attribution window and reports it on the day of the ad interaction. GA4 uses last-click by default in standard reports. Shopify records the order when it happens. The numbers will never match exactly: the goal is to understand the gap and pick one source of truth for revenue.
What is the Conversions API and do we need it?
It sends conversion events from your server to Meta rather than from the browser, so events are not lost to ad blockers, tracking prevention or browser restrictions. For any account spending meaningfully on Meta, yes: event loss directly degrades the algorithm's ability to optimise, and event match quality is visible in the account.
Is GA4 enough on its own?
For understanding on-site behaviour and channel trends, largely yes. For paid optimisation it is not, because the ad platforms need their own conversion signals to bid on. You need both, plus a reconciliation against the actual order or CRM data.
What is MER and why does it matter?
Marketing efficiency ratio is total revenue divided by total marketing spend across all channels. It matters because platform ROAS figures overlap, Meta and Google both claim the same purchase, so summing them overstates performance. MER is one number that cannot be double-counted.
How do we track sales that close over the phone?
Capture the lead with source attribution into the CRM, mark the outcome when the deal closes, then push those closed conversions back to Meta and Google via offline conversion import. Without that loop, the platforms optimise toward whoever fills forms most cheaply.
How long does a tracking rebuild take?
A standard Shopify or lead-gen setup is typically one to two weeks including verification. Complex multi-domain or multi-region setups take longer. Verification with real transactions is a required step, not an optional one: untested tracking is frequently worse than none, because it looks trustworthy.
Related services and reading
Want analytics & tracking run properly?
Tell us your numbers: spend, revenue, margin, current cost per result. We will tell you where the constraint actually is before anyone talks about a retainer.
- ₹50Cr+ ad spend managed
- 32+ brands scaled
- 12 documented Shopify case studies
- You keep account ownership