Ecommerce Analytics Agency UK

Ecommerce Analytics Agency UK - Track Every Sale, Click & Cohort.

BeingEcom is a specialist Ecommerce Analytics Agency UK rebuilding measurement for Shopify and WooCommerce brands. GA4, server-side GTM, Meta CAPI, Google Enhanced Conversions, MER dashboards and cohort LTV - engineered so every scaling decision is made on real, deduped, first-party data.

120+
Stores scaled
£48M+
Tracked revenue
4.1×
Avg ROAS lift
10+ yrs
Ecom operating
Ecommerce Analytics Agency UK - Ecommerce Analytics Agency UK - Track Every Sale, Click & Cohort.
Ecommerce Analytics Agency UK
Operator-led. Revenue-obsessed.
Summary

BeingEcom is a UK ecommerce marketing agency helping Shopify and WooCommerce brands scale through ecommerce analytics agency uk. BeingEcom is a specialist Ecommerce Analytics Agency UK rebuilding measurement for Shopify and WooCommerce brands. GA4, server-side GTM, Meta CAPI, Google Enhanced Conversions, MER dashboards and cohort LTV - engineered so every scaling decision is made on real, deduped, first-party data.

Why brands hire us

The specialist Ecommerce Analytics Agency for Shopify & WooCommerce data.

BeingEcom is an Ecommerce Analytics Agency UK - a team of senior analytics engineers who have rebuilt the measurement layer for 7- and 8-figure Shopify and WooCommerce brands across the UK, EU and US. We are not a generalist digital agency. Every consultant on your account has shipped GA4 + server-side GTM + Meta CAPI at scale, and every engagement is led by a UK-based senior analytics director from day one.

As an Ecommerce Marketing Agency UK we treat data as the substrate of every other decision. Bad data breaks paid ads (Meta optimises to noise), it breaks CRO (A/B tests hit false significance), it breaks retention (Klaviyo segments the wrong customers) and it breaks the board deck (revenue doesn't tie to Shopify). We fix the plumbing so Meta ROAS, GA4 revenue, Shopify orders and Klaviyo flow revenue finally agree.

The result is what an Ecommerce Growth Agency should actually deliver: a store that knows its true blended MER, its real contribution margin per order, its cohort LTV by acquisition channel, and its incremental spend by channel - reported daily, without a data analyst full-time. That's the foundation every other service on this site is built on.

Why it matters
  • Senior UK analytics director on every account - no juniors.
  • GA4 + server-side GTM + Meta CAPI + Google Enhanced Conversions - standard.
  • MER, cohort LTV and contribution margin dashboards - not vanity charts.
  • Consent Mode v2 + GDPR-compliant tagging built in.
  • 90-day initial engagement, then month-to-month.
The Problem

Most Shopify and WooCommerce stores are flying blind.

GA4 set up wrong - missing 30%+ of conversions, revenue off Shopify by 40%.

Meta Pixel without CAPI - EMQ under 5, algorithm optimising to noise.

No single dashboard - MER, CAC, LTV and margin decisions made on vibes.

Why most stores fail

The pattern repeats - and it's fixable.

No conversion structure - just a theme

Weak UX, no buyer psychology baked in

Zero focus on the metrics that actually move revenue

Random tactics instead of one operating system

What it actually means

Ecommerce analytics is not GA4 with a Meta pixel bolted on.

As the specialist Ecommerce Analytics Agency, we treat analytics as a full data system: first-party event capture, server-side transport, deduped attribution, warehoused revenue, cohort LTV and incremental MER. GA4 and Meta Pixel are two nodes in that system - not the whole thing. Get the system right and every downstream decision (paid, CRO, retention, buying) gets faster and cheaper.

Strategy Build Optimise Scale
01
Audit
02
Rebuild
03
Dashboard
04
Operate
The system

Our 4-stage ecommerce analytics system.

  1. 01

    Audit

    Find broken events, duplicate pixels, EMQ gaps, GA4/Shopify variance, consent-mode issues.

  2. 02

    Rebuild

    GA4 + server-side GTM + Meta CAPI + Google Enhanced Conversions + TikTok Events API - deduped.

  3. 03

    Dashboard

    Single source of truth in Looker / Triple Whale - daily P&L, MER, CAC, LTV, contribution margin.

  4. 04

    Operate

    Weekly KPI review, monthly board pack, quarterly incrementality tests.

Core pillars

The four pillars of clean ecommerce data.

Capture

Every event, every channel, first-party where possible - no gaps, no ad-blocker loss.

Stitch

Sessions, users, orders and subscriptions joined cleanly across GA4, Meta, Shopify and Klaviyo.

Report

Dashboards that answer real questions - MER, CAC, LTV, margin, incrementality.

Decide

Weekly reviews → action items, not chart-watching or vanity screenshots.

Inside the system

Every module, engineered to compound.

Module 01

GA4 rebuild + event taxonomy

Enhanced ecommerce spec, event/parameter taxonomy, custom dimensions, audience library, exploration reports and BigQuery export - all set up to the exact GA4 schema that survives future Google changes.

GA4EventsBigQueryAudiences
Module 02

Meta Pixel + Conversions API

Browser + server dedup, EMQ tuning (8.5+), user-agent + IP + hashed PII propagation, and Advanced Matching. Recovers 20-40% of iOS-lost signal.

PixelCAPIEMQDedup
Module 03

Server-side GTM

Cloudflare Workers, Stape or Google Cloud Run - custom container tags for Meta, Google, TikTok, Klaviyo. Bypasses ad blockers and iOS ITP.

sGTMCloudflareStape
Module 04

Google Ads Enhanced Conversions

First-party user-provided data through Enhanced Conversions + offline conversion imports for CRM stages - so Google Pmax finally optimises on real profit.

EnhancedOfflinePmax
Module 05

Revenue dashboard build

Looker Studio / Triple Whale / Northbeam dashboards: MER, blended ROAS, contribution margin, new-customer CAC, cohort LTV, inventory turn, RPV.

LookerTriple WhaleMERLTV
Module 06

Consent Mode v2 + GDPR

Cookiebot / OneTrust / Termly integration, Google Consent Mode v2, and CMP-aware server-side tags. Compliant without wiping out ad data.

GDPRConsentCMP
Module 07

Incrementality + MMM

Geo holdouts, Meta Lift Studies, Recast / Robyn marketing-mix modelling - so scaling decisions are made on incremental revenue, not attributed clicks.

MMMLiftGeo
Module 08

Warehouse + reverse-ETL

Shopify + Klaviyo + Meta into BigQuery / Snowflake via Fivetran or Rivery; enriched audiences pushed back to Meta and Klaviyo via Hightouch.

BigQueryFivetranHightouch

Not sure how much revenue your analytics is hiding?

Get a free 30-minute analytics audit from the specialist Ecommerce Analytics Agency - we'll show you the exact GA4, CAPI and dashboard gaps costing you spend.

No lock-ins · UK-based senior operators · Reply within 1 business day

Avoid these

Mistakes that quietly kill ecommerce analytics agency uk performance.

01
Mistake

Trusting Meta-reported ROAS in isolation

Meta over-attributes by 30-60%. Scale on MER + incrementality, not the Ads Manager column.

02
Mistake

Running GA4 without server-side + Consent Mode

Browser-only GA4 in 2026 misses 25-40% of conversions on iOS Safari + ad-blocker traffic.

03
Mistake

Ignoring EMQ in Meta CAPI setups

EMQ under 6 means Meta's algorithm can't use your events - the CAPI is technically live but functionally dead.

04
Mistake

Vanity dashboards nobody uses

Traffic charts and pretty gauges don't drive decisions. Ship a weekly action-item review or ditch the dashboard.

05
Mistake

Not measuring contribution margin per order

Revenue and ROAS mean nothing without COGS, shipping, refunds and ad cost - all backed out to the order.

06
Mistake

Skipping incrementality tests

Attributed revenue and incremental revenue are different. Without geo / holdout / lift tests, you're paying for revenue you already had.

How we compare

BeingEcom vs typical agency vs in-house.

What mattersBeingEcomTypical agencyIn-house hire
Analytics owner Senior UK analytics director on every account Rotating account manager, junior GTM exec Overworked marketer + Fiverr freelancer
Server-side tracking Cloudflare / Stape / Google Cloud Run built-in 'On the roadmap' - never shipped Client-side pixel only
Meta CAPI + EMQ EMQ tuned to 8.5+, dedup verified CAPI installed, EMQ never checked Manual Zapier duct-tape
Attribution model GA4 + MER + incrementality + MMM Meta-reported ROAS Whatever Shopify says
Dashboard Daily P&L: MER, CAC, LTV, CM, cohort Monthly PDF nobody reads Google Sheet of screenshots
Compliance Consent Mode v2 + CMP-aware sGTM 'It's fine' - Cookiebot in warning mode No CMP, hoping for the best
Vertical impact

How ecommerce analytics agency uk moves the needle in your industry.

Fashion & apparel

Pain: Meta over-attributing return-customer sales, buying wrong new-customer cohorts.

Outcome: New-customer CAC surfaced separately, buying reallocated to true acquisition channels.

Beauty & skincare

Pain: Subscription MRR invisible in GA4, LTV underreported.

Outcome: Recharge/Skio custom events + cohort LTV dashboard - subscription revenue finally attributed to source.

Home & garden

Pain: Long consideration cycles - GA4 default attribution misses 45% of assisted revenue.

Outcome: Data-driven attribution + MMM shows true channel contribution over 30/60/90-day windows.

Electronics & tech

Pain: High refund rate distorts ROAS, spend scaled on inflated numbers.

Outcome: Refund-adjusted MER + contribution-margin ROAS - the metric that survives the accountant.

Sports & fitness

Pain: Multi-touch journey across YouTube, Meta, organic - each channel taking full credit.

Outcome: Data-driven attribution + MMM allocates credit fractionally, ending double-counting between paid and organic.

Health & wellness

Pain: Consent Mode misconfigured, GA4 losing 60% of conversions.

Outcome: Consent Mode v2 + modelled conversions - GA4 data recovers to within 3% of Shopify.

Conversion levers

Analytics events every ecommerce store should be firing.

view_item
add_to_cart
begin_checkout
add_payment_info
purchase
subscribe
signup
add_to_wishlist
select_promotion
view_cart
Before vs After

What changes when the system runs.

Before
  • GA4 revenue -42% vs Shopify
  • Meta EMQ 5.2 - CAPI functionally dead
  • No dashboard, decisions on gut
  • Consent-mode 'default deny' wiping GA data
  • Post-iOS attribution unusable
After
  • GA4 within 3% of Shopify
  • Meta EMQ 9.1 - CAPI driving learning
  • Daily P&L: MER, CAC, LTV, CM
  • Consent Mode v2 + CMP - compliant + data-rich
  • Server-side attribution, iOS recovered 82%
Why this matters for sales

Small shifts compound into big revenue.

A 1% conversion lift on a store doing £100K/mo is not 1% more sales - it's compounding revenue every month, on the same ad spend. That's why every module in this system is engineered to move the metrics that print money.

98%
Event-tracking accuracy
+41%
iOS conversion match
9.1
Avg Meta EMQ score
Revenue impact - Before vs After
Before After
Event accuracyShare of purchases/add-to-carts correctly captured by GA4 + Meta CAPI.62%98%
iOS attribution matchConversions matched server-side after iOS 14.5 + cookie loss.41%82%
Data-to-decision lagDays from event → dashboard → action. Faster loops = faster compounding.7 d1 d
ROAS reporting varianceGap between Meta-reported ROAS and true server-side ROAS.38%6%
Meta EMQ scoreMeta Event Match Quality - below 6 the algorithm can't use your events.5.29.1
Tracked monthly revenueRevenue correctly attributed back to its channel each month.£124k£312k

Benchmarks based on 120+ Shopify & WooCommerce stores we've scaled. Hover any metric for the definition.

Case study

UK apparel brand: data fix → +28% ad efficiency, +£62k/mo profit

Problem

Meta reporting 4.1× ROAS, Shopify showing 2.6× - £180k/mo spend misattributed, buying decisions wrong for 6 months.

Strategy

Rebuilt GA4 + server-side GTM + Meta CAPI (EMQ 5.2 → 9.1), added Google Enhanced Conversions, launched Triple Whale MER dashboard, weekly KPI review.

Result

True MER surfaced, spend reallocated Meta → Google + Klaviyo, +28% blended efficiency, +£62k/mo contribution margin without touching creative.

38% → 6%
ROAS reporting variance
5.2 → 9.1
EMQ
100% deduped
Attribution
Growth trajectory
£100K£75K£50K£25K£0K£88KW1W3W5W7W9W11
Month 1 CompoundingMonth 12
FAQ

Questions we get asked all the time.

What does an Ecommerce Analytics Agency UK actually do?+

We rebuild the measurement layer for your Shopify or WooCommerce store - GA4, GTM (server-side), Meta CAPI, Google Enhanced Conversions, Klaviyo, Shopify and post-purchase attribution - then wire it into one revenue dashboard so every marketing decision is made on real data, not vibes.

Why is my GA4 revenue different from Shopify?+

Usually attribution windows, missing CAPI events, ad blockers, duplicate orders or GA4 sampling. We reconcile GA4, Meta, Shopify and Klaviyo so one number is the source of truth - typically closing a 20-40% gap in the first sprint.

Do you set up GA4, Meta CAPI and Google Ads conversions?+

Yes - full GA4 + GTM server-side + Meta Conversions API + Google Enhanced Conversions + TikTok Events API with proper deduplication, event match quality (EMQ) tuning and consent-mode v2.

What dashboards do you build?+

Live revenue, blended MER, new-customer CAC, contribution margin, channel mix, cohort LTV, RPV and inventory turn - usually in Looker Studio, Triple Whale or a custom stack. Daily P&L view, weekly KPI review, monthly board pack.

Can you fix iOS 14 tracking loss?+

We restore 25-45% of lost signal via server-side GTM, Meta CAPI, Google Enhanced Conversions and first-party data capture. The rest comes from blended MER + incrementality decisions, not pixel-only.

Do I need Triple Whale, Northbeam or Hyros?+

Only if you spend >£40k/mo on ads. Below that, GA4 + server-side tagging + a clean Looker dashboard is faster and cheaper. We'll recommend the stack that matches your spend, not the biggest logo.

How long does an analytics rebuild take?+

Standard rebuild ships in 3-4 weeks: audit in week 1, GA4/GTM/CAPI rebuild weeks 2-3, dashboard + training week 4. Complex multi-region or headless setups run 6-8 weeks.

What is server-side tracking and do I need it?+

Server-side GTM sends events from your server to Meta/Google instead of the browser - bypassing ad blockers and iOS ITP. If you spend >£10k/mo on ads or run on Shopify Plus, yes, you need it.

Do you install Meta Conversions API on Shopify?+

Yes - via Stape, Google Tag Manager Server-Side or a bespoke Cloudflare Worker depending on the store. We tune EMQ to 8.5+ so Meta's algorithm can actually optimise.

What is EMQ (Event Match Quality) and why does it matter?+

EMQ is Meta's 0-10 score for how well an event can be matched to a person. Below 6 and Meta's algorithm effectively ignores the event; above 8 you unlock better CAPI-driven learning. We routinely lift stores from 5.2 to 9.1.

Do you set up consent mode for GDPR / UK GDPR compliance?+

Yes - Google Consent Mode v2, Cookiebot / OneTrust / Termly integration, and CMP-aware server-side tagging so you stay compliant without wiping out your ad data.

Can you rebuild attribution after a CAPI or GA4 disaster?+

Yes - we've inherited stores where every event was double-firing, GA4 was 60% off Shopify, and Meta was reporting phantom conversions. Week-1 audit is designed for exactly that.

Do you handle post-purchase and subscription tracking?+

Yes - Recharge, Bold, Skio and Shopify Subscriptions all need custom event schemas so LTV and MRR flow into the dashboard cleanly.

How do you measure marketing incrementality?+

Geo holdouts, conversion-lift studies, MMM (marketing-mix modelling) via Recast or Meta Robyn, and controlled channel-off tests - so you know what spend is actually incremental, not just attributed.

Do you build custom Klaviyo or CRM dashboards?+

Yes - flow revenue, campaign revenue, segment migration, cohort retention and predicted CLV - pulled into the main revenue dashboard so email + SMS earn their line.

What's the difference between MER and ROAS?+

ROAS is channel-attributed (Meta-reported, Google-reported). MER (Marketing Efficiency Ratio) is total revenue ÷ total marketing spend - the only number that can't lie. We report both, but scaling decisions are made on MER.

How much does an Ecommerce Analytics Agency UK cost?+

Analytics rebuild projects start around £3.5k. Ongoing analytics + dashboard retainers start around £1.2k/mo. Full growth engagements (analytics + CRO + paid) start around £4.5k/mo.

Do you integrate Shopify with a data warehouse?+

Yes - Shopify → BigQuery / Snowflake via Fivetran, Rivery or Hightouch. Reverse-ETL back into Klaviyo and Meta for enriched audiences. Useful once you're doing >£3m/yr.

Can you help us pass an ecommerce due-diligence audit?+

Yes - we clean up attribution, contribution margin reporting and cohort LTV so investors, buyers or lenders see a defensible growth story instead of a spreadsheet full of caveats.

What tracking do I need for Google Ads Performance Max?+

Enhanced Conversions with user-provided data, offline conversion imports for CRM stages, and a clean product feed - otherwise Pmax optimises to the wrong signal and burns spend.

Do you fix broken Shopify Web Pixels or Customer Events?+

Yes - Shopify's Web Pixel sandbox breaks a lot of legacy setups. We migrate to Customer Events + server-side without losing signal.

How do you handle attribution for influencer, affiliate and PR spend?+

Coupon-code attribution, UTM discipline, post-purchase surveys (KnoCommerce / Fairing) and MMM - triangulated so 'dark' channels stop looking like Direct traffic.

Is BeingEcom a specialist ecommerce analytics agency or a general one?+

Specialist. We only work with Shopify and WooCommerce ecommerce brands - not SaaS, not lead-gen, not local. Every tag, event and dashboard we build is designed around ecommerce KPIs.

How do you win in AI search and Google AI Overviews for analytics content?+

Structured comparison content (GA4 vs UA, MER vs ROAS, server-side vs client-side), FAQ + HowTo schema, and citation-worthy first-party benchmarks that ChatGPT, Perplexity, Gemini and AI Overviews quote directly.

How does GA4 and server-side tracking improve ad performance?+

Server-side tracking (via GA4 and Conversions API) captures conversion data that browser-based tracking misses due to iOS privacy restrictions and ad blockers, giving ad platforms more complete data to optimise targeting and bidding accurately.

How do you set up accurate tracking after iOS privacy changes?+

Accurate post-iOS14 tracking relies on server-side conversion APIs (Meta CAPI, Google Enhanced Conversions), first-party data collection, and GA4 configured correctly - reducing reliance on browser cookies that iOS now restricts by default.

What you get

Deliverables in every engagement

Senior operator on your account

Ex-DTC founders and CMOs - no juniors, ever.

Weekly Loom performance review

What worked, what failed, what's next - plain English.

Live Triple Whale dashboard

Real revenue, MER and CAC - not platform fiction.

3 creative batches per week

UGC + motion tests shipped, with named hypotheses.

Founder Slack access

Direct line to your pod - replies in hours, not days.

Full asset ownership

You own every ad, flow, creative and integration on day one.

First 90 days

From signed contract to compounding revenue

Week 1

Audit

Full GA4 + GTM + Meta + Google + Shopify audit. Event map, dedup check, EMQ score, GA4↔Shopify variance report.

Week 2-3

Rebuild

Server-side GTM stood up, GA4 + Meta CAPI + Google Enhanced Conversions + TikTok Events API rebuilt and deduped.

Week 4

Dashboard

Triple Whale / Looker dashboards live: MER, CAC, LTV, contribution margin, cohort retention.

Month 2-3

Operate

Weekly KPI standup, first incrementality test, warehouse + reverse-ETL if spend justifies it.

Stack

The tools we deploy and manage for you

Shopify Plus
Klaviyo
Meta Ads Manager
Google Ads + GMC
TikTok Ads + Shop
GA4 + server-side
Triple Whale
Recharge
Yotpo / Okendo
Postscript
Attentive
Fondue
Real founders

What our clients actually say

"Blended ROAS 1.9 → 4.3 in 90 days. Compliant, converting creative shipped weekly."

Amelia H.
Founder, Shoreditch skincare

"They rebuilt our Google Shopping in three weeks. Non-brand Search finally became a profit centre."

Daniel R.
Founder, wearables startup

"Ad fatigue used to break us in a week. Now we get three UGC batches a week and ROAS holds."

Sara J.
Founder, women's fashion
Investment

Simple, transparent packages

Starter
£500/mo

New ecommerce stores building a strong foundation for sustainable growth.

  • Comprehensive Ecommerce Store Audit
  • Technical SEO Setup & Optimization
  • On-Page SEO Optimization
  • Product Page (PDP) Optimization
  • Collection & Category Page Optimization
  • Basic Conversion Rate Optimization (CRO)
  • GA4, GTM & Meta Pixel Setup
  • Conversion Tracking Configuration
  • Website Speed Optimization
  • Monthly Performance Report
  • Dedicated Account Manager
Get started
Most popular
Growth
£1,000/mo

Growing ecommerce brands ready to increase traffic, conversions, and revenue.

  • Everything in Starter
  • Meta Ads Management
  • Google Ads Management
  • Advanced Ecommerce SEO
  • Keyword Research & Content Strategy
  • Landing Page Optimization
  • Ongoing CRO Improvements
  • Klaviyo Email Marketing
  • Automated Email Flows
  • Monthly A/B Testing
  • Competitor Analysis
  • Weekly Performance Reports
  • Priority Support
Get started
Enterprise
£1,500/mo

Established ecommerce brands scaling across multiple channels and markets.

  • Everything in Growth
  • Multi-Channel Advertising (Meta, Google & TikTok)
  • Advanced SEO Strategy
  • Digital PR & Authority Building
  • Advanced Funnel Optimization
  • Custom Landing Page Creation
  • Creative Strategy & Ad Reviews
  • Klaviyo Email & SMS Automation
  • Customer Retention & Loyalty Strategy
  • AI Marketing Automation
  • Bi-Weekly Strategy Sessions
  • Dedicated Growth Manager
  • Executive Performance Dashboard
Get started
Business
£2,000/mo

High-growth ecommerce brands seeking a fully managed growth partner.

  • Everything in Enterprise
  • Dedicated Ecommerce Growth Team
  • Fractional Ecommerce CMO
  • Full-Funnel Growth Strategy
  • Advanced Technical SEO
  • Digital PR Campaigns
  • Creative Production Management
  • Unlimited CRO Recommendations
  • AI Automation & Business Workflows
  • Custom Executive Reporting
  • Weekly Strategy Meetings
  • Quarterly Business Growth Planning
  • VIP Priority Support
Get started
Ask a senior ecommerce analytics agency uk operator on WhatsApp
Average reply time 7 minutes on UK business hours. No forms, no juniors.
What's changing

Latest ecommerce analytics trends UK brands need to act on now.

Server-side is now table stakes

iOS 17 + Safari ITP 2.3 + ad-blocker penetration >30% means client-side GA4 and Meta Pixel miss a huge chunk of revenue. Server-side GTM is no longer optional above £10k/mo spend.

Consent Mode v2 rollout

Google's Consent Mode v2 is mandatory for EEA and UK traffic. Sites without it lose behavioural + conversion data - and Google Ads Pmax stops optimising cleanly.

MMM is beating attribution

Marketing-mix modelling (Recast, Meta Robyn) is now cheap enough for £2m+/yr brands. Increasingly the primary spend-allocation model, with attribution demoted to operational reporting.

First-party data + Enhanced Conversions

Google's Enhanced Conversions with user-provided data are now the single biggest lever for Google Ads Pmax performance - stores implementing it see 15-25% CPA reductions.

Contribution margin over ROAS

Sophisticated operators have moved from ROAS to contribution-margin ROAS. Ad platforms are catching up (Meta's Attribution API, Google's cCPA) but most agencies aren't.

AI-generated dashboards + insights

Triple Whale Moby, Northbeam AI and custom LLM copilots now generate weekly commentary and anomaly detection - shifting analyst time from reporting to strategy.

AI Search

How the specialist Ecommerce Analytics Agency wins in AI Search.

Ecommerce operators researching GA4, MER, CAPI and attribution now ask ChatGPT and Perplexity before they Google. We publish comparison, definition and benchmark content structured for AI-citation - so BeingEcom is the source AI cites.

Google AI Overviews

Definition + FAQ + HowTo schema on GA4, MER, CAPI, Consent Mode v2 - plus first-party benchmark data AI Overviews quote directly.

ChatGPT + ChatGPT Shopping

Structured comparison content (GA4 vs UA, MER vs ROAS, sGTM vs client-side) with clear pros/cons tables OpenAI's retrieval layer quotes verbatim.

Perplexity

Original benchmark data (average UK ecommerce EMQ, GA4↔Shopify variance by vertical) - Perplexity favours unique first-party research.

Google Gemini

Structured data + E-E-A-T author schema (senior analytics director bylines) so Gemini surfaces us for high-authority commercial queries.

Claude (Anthropic)

Long-form pillar content on GA4, CAPI and incrementality with source attribution Claude can quote in analytical responses.

Bing + Copilot

IndexNow submission + Bing Webmaster hygiene - Bing feeds Copilot and Microsoft Advertising, which drives 8-12% of UK B2B ecommerce research.

Ready to work with the specialist Ecommerce Analytics Agency?

Get a free, no-fluff ecommerce growth audit. We'll show you exactly what's leaking revenue.