Tracking Audit & Reconciliation
A full event inventory across GA4, Meta, Google Ads, Klaviyo and Shopify, reconciled against order data to quantify exactly where and how much data is lost.
Los Angeles, CA
Analytics, Tracking & Data in Los Angeles, CA
When one piece of content can outperform a quarter of paid media, attribution stops being a reporting task and becomes a business decision.
Delivered remotely for brands across Los Angeles and California.
Scale · Los Angeles
Why Los Angeles brands come to us for this
- Server-side tracking and Conversions API with match quality verified before any scaling
- Spike decomposition that separates earned content demand from paid lift
- Creator and affiliate link governance so partner revenue stops showing as direct
- Returns instrumented by SKU group and surfaced next to channel revenue
- CCPA-compliant consent mode configured for a California-headquartered brand
Ask an LA founder what drove last month and you will usually get a confident answer that the data does not support. A creator posted, sessions spiked, Meta and Google both claimed the orders, and the story that survives is whichever one the loudest dashboard told. Meanwhile the affiliate link, the SMS send and the organic search that closed a two-week consideration window get no credit at all.
We fix the measurement layer first because everything downstream depends on it. Server-side tracking with the Conversions API and event match quality above eight out of ten. A clean GA4 event schema instead of six overlapping purchase events. UTM and affiliate governance so creator links resolve to a named partner rather than direct traffic. Consent mode configured properly for California privacy requirements, which is not optional for a brand headquartered here.
Then the reporting layer that actually answers questions: cohort retention, contribution margin after returns, blended MER against your true unit economics, and spike decomposition that separates a content-driven session surge from paid lift. For the venture-backed brands in Santa Monica and Playa Vista, that last set is the difference between a board meeting and an argument.
Local context
Measuring a spike you did not buy
The defining LA measurement problem is earned demand. A store here can take a third of its monthly revenue in forty-eight hours off content nobody paid for, and every ad platform will confidently attribute a large share of it. Without a baseline model and holdout discipline you will scale spend into demand you already had. We build spike decomposition into reporting — pre-spike baseline, source-level session shape, new versus returning mix and post-spike decay — so a launch can be evaluated honestly. We also instrument returns as a first-class metric rather than a finance-team afterthought, because in this market a channel's real profitability is invisible until the return rate by SKU group is sitting next to the revenue.
Scope
What Analytics & Data includes
The same standard of work we run for every client — applied to a Los Angeles brand’s realities.
Full service detailServer-Side Tracking
Server-side GTM on a first-party subdomain, resilient to ad blockers and ITP, with deduplication between browser and server events done properly.
Conversions API Integration
Meta CAPI, Google Enhanced Conversions and TikTok Events API with hashed identifiers, targeting event match quality of 8 or above.
GA4 Event Schema
A documented, consistent eCommerce event and parameter specification across every surface, so reports mean the same thing in six months as they do today.
Consent Mode & Privacy
Consent mode v2 wired to your CMP with modelled conversions, plus Shopify's customer privacy API and regional compliance handled correctly.
Executive Reporting Layer
One dashboard for blended MER, contribution margin, cohort LTV, new-versus-returning revenue and channel payback. Reconciled to Shopify, refreshed daily.
Scoped and quoted for your Los Angeles store
We do not work off a rate card. Every Los Angeles engagement starts with a fixed statement of work — named deliverables, named dates, one number — written after we have looked at your store, not before. If a smaller first step would serve you better, we will say so.
Get this scopedHow it runs
From kickoff to results
Audit & Quantify
We measure the gap between platform-reported and actual orders per channel. Most stores we audit are losing 15-30% of conversion signal before we start.
Specification
A written measurement plan: events, parameters, identifiers, consent states and destinations. Signed off before implementation begins.
Implement
Server-side container, CAPI, enhanced conversions and consent mode built in a staging environment and validated event by event.
Validate
Order-level reconciliation against Shopify for a full week, plus match-quality checks in each platform. We do not sign off on a screenshot of a tag firing.
Report & Maintain
Dashboards built, team trained, and monitoring in place to alert on event volume anomalies before someone spots them in a monthly report.
Proof
Analytics & Data results
Anonymised under NDA. Figures pulled from the client’s own analytics.
Consumer Electronics & Accessories
~$9M/yr, 210 SKUs, US + AU · Shopify Plus (migrated from BigCommerce)
Meta ROAS had slid from 3.6x to 1.9x in a year and the team had spent twelve months buying new creative to fix it. The real cause was measurement: the BigCommerce checkout dropped 22% of purchase events and the Conversions API had never been installed, so both ad platforms were optimising on incomplete data. The named constraint: peak season was 14 weeks out, and the replatform had to be live and stable well before Black Friday traffic arrived.
1.9x → 3.4xMeta ROAS, once the 22% event gap closed60 days after server-side tracking went live, spend up 18%. Most of that is signal we recovered, not performance we invented — the honest number is the blended CAC below, which is measured against Shopify orders
-32%customer acquisition cost$44 to $30 blended across Meta and Google
4.1s → 1.7smobile LCPdesktop went 2.9s to 1.2s over the same window
+47%peak-season revenueBlack Friday through Cyber Monday, year over year
In their words
Clients on this work
GA4/Shopify gap 14% → under 2%
“Paid audit, and worth every dollar. Forty pages on where our measurement was lying to us — duplicate purchase events, CAPI never configured, GA4 and Shopify off by 14% — each one ranked by the revenue it was hiding. No pitch deck at the end. We fixed six of the items ourselves before we ever signed a retainer.”
FounderHome goods brand, ~$3M/yr · Denver, CO
Verified client, 2026FAQ
Analytics & Data in Los Angeles — your questions
Shopify is, and the gap is double-counting plus modelled conversions. We reconcile to Shopify as the source of truth, then build a blended view where each platform's contribution is measured against total revenue rather than self-reported. In a market with large earned demand that gap is usually wider than founders expect.
With a pre-spike baseline, source-level session shape, new versus returning mix and decay analysis afterwards. The goal is a defensible estimate of incremental revenue rather than a platform's claim. Where budget allows we pair it with geo holdouts so the answer is causal rather than inferred.
Yes. As a California-based business you have CCPA and CPRA obligations covering opt-out signals, data sale and sharing disclosures and honouring Global Privacy Control. We configure consent mode and tag behaviour to respect those signals rather than treating compliance as a cookie banner someone installed once. We are not your lawyers and will say when you need one.
Contribution margin by acquisition cohort, payback period by channel and retention curves that hold up after returns. Most Santa Monica and Playa Vista brands we work with can produce revenue and ROAS but not those three. Building them takes a clean event layer, order-level cost data and a warehouse or reporting tool — usually four to six weeks.
Browser tracking loses 15-30% of conversions to ad blockers, ITP and consent rejections. Server-side sends events from your own infrastructure, which recovers most of that signal. Better signal means better algorithmic bidding, so it usually pays for itself in media efficiency within a quarter.
Four to six weeks for a typical Shopify store, including the validation week. Complex setups with subscriptions, multiple markets or a headless front end run six to ten. The audit and specification phase takes about a third of that and is the part that determines quality.
Yes. We use Shopify's Web Pixels API and customer events for checkout tracking, which is the supported path since checkout.liquid was retired. Order-level data comes through the server side, so checkout tracking no longer depends on scripts Shopify will not let you inject.
Next step
Analytics & Data for your Los Angeles brand.
Thirty minutes with the strategist who would actually run your account. We screen-share your store, read your data live, and tell you the three highest-value things we can see from the outside.
Shopify or Shopify Plus stores doing $150k/mo or moreFounder, CEO or eCommerce lead on the callNo deck and no pitch — we open your store instead
Prefer to write it out? [email protected] gets a real reply the same business day, Mon-Fri, 9am-6pm MT.