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GA4 · GTM · Looker Studio · Mobile Analytics

Web Analytics & Data Analysis Consulting.

From GA4 and Google Tag Manager setup to Looker Studio dashboards, server-side tracking to mobile app analytics — end-to-end analytics consulting. Built on 16 years of Webtures experience turning data into growth.

4,000+ brandsGoogle Cloud PartnerISO 9001GDPR-compliant setup
◆ 01 — Definition

What is web analytics consulting?

Not a tool — a system. Capturing user data across a brand's digital properties, making sense of it, and turning it into business decisions.

Web analytics consulting is the practice of collecting, processing, interpreting and converting the user data that forms across a brand's digital properties — website, mobile app, campaign landing pages — into business decisions.

Most brands install Google Analytics yet use only 10–15% of the data it produces. The issue isn't the tool — it's that the measurement foundation was never built, conversions are mislabelled, and reports are designed to "show numbers" rather than drive decisions.

At Webtures we deliver analytics consulting across three layers. Each layer completes the one before it and is always tied to a business goal.

01
Collection layer

GA4 + GTM + server-side tracking capture data safely and accurately — Consent Mode v2 and GDPR compliance included.

02
Interpretation layer

Segmentation, funnel analysis and data-driven attribution models turn raw data into meaning.

03
Action layer

Looker Studio dashboards and A/B tests convert findings into marketing, product and sales decisions.

◆ 03 — GA4

Google Analytics 4 setup and consulting.

Google's only supported analytics platform since 1 July 2023. An event-based data model, ML-powered insights, and web + app data unified under a single property.

How GA4 differs from earlier versions.

Universal Analytics was session-based. GA4 moved to an event-based model — every interaction is processed as a single data point. This enables cross-device tracking, far more flexible conversion definitions, and mobile + web data in one property.

  • Engaged session — Replaces bounce rate by measuring actual user engagement.
  • Conversion definition — The goal concept is gone; any event can be marked as a conversion.
  • Enhanced Measurement — Scroll, outbound click, video view and similar events are collected automatically.
  • BigQuery raw data export — Free in the standard tier, not just the 360 SKU like UA.
  • Predictive Audiences — High purchase-intent and churn-risk users are detected with machine learning.

Our GA4 implementation process.

Not a prepackaged playbook — we build every setup on a measurement plan tailored to the brand. A typical engagement runs 2–3 weeks for a baseline and extends to 6–8 weeks with enhanced ecommerce + server-side + Looker.

01
Discovery & measurement plan

We learn your business model, conversion points and KPIs, then produce an event-taxonomy document covering every user action to be measured.

02
GTM container setup

We deploy a Google Tag Manager container for every GA4 tag and design the data layer — so future event additions need minimal developer involvement.

03
GA4 property & data stream

Property settings, data retention, IP anonymisation and cross-domain tracking are all configured to be KVKK/GDPR compliant.

04
Event & conversion definitions

Enhanced ecommerce event set for e-commerce; for lead gen we add custom events like form_submit / file_download / phone_click.

05
Integrations

We connect Google Ads, Search Console, Merchant Center, BigQuery and your CRM, and activate audience sharing.

06
Validation & QA

Tag Assistant, DebugView and BigQuery export verify that every event fires correctly, values are accurate and there are no duplicate records.

07
Training & handover

We train your team on the GA4 interface, custom reports and the Looker dashboard — and hand over full technical documentation.

Event tracking and custom conversions.

GA4's power lies in a well-defined event structure. Below is the baseline set we use for e-commerce brands — for B2B and lead-gen we add custom events like lead_quality_score, pricing_page_view and demo_request.

EventDescriptionConversion
view_itemProduct detail page viewNo
add_to_cartProduct added to cartYes · Micro
begin_checkoutEnters checkoutYes · Micro
purchaseOrder completeYes · Macro
sign_upAccount sign-upYes
generate_leadForm submission / inquiryYes
Curious about GA4's deeper technical capabilities?

Explore advanced topics like BigQuery export, Consent Mode v2, server-side tracking and custom dimensions.

Advanced GA4 features
◆ 04 — GTM

Google Tag Manager setup and data-layer design.

Manage every measurement and marketing tag on your website and app from a single panel. Reduces developer dependency and ships measurement changes without waiting for a release.

Google Tag Manager is the free tag-management system that lets you control every measurement and marketing tag on your website and mobile app — GA4, Meta Pixel, Google Ads, LinkedIn Insight, TikTok Pixel — from a single panel.

An analytics setup without GTM forces you to request developer help for every new event, ship fragmented code that slows the site, and wait for a deployment any time you need to update measurement.

01
Container setup & data-layer design

A central data-layer architecture that feeds every event — designed and handed off to your development team.

02
Tag & trigger management

Third-party tags (GA4, Meta Pixel, Google Ads Conversion, LinkedIn Insight, TikTok Pixel) managed from one panel.

03
Server-side GTM (sGTM)

A server-side container on Google Cloud improves measurement accuracy against iOS ITP and ad-blockers by 15–30%.

04
Consent Mode v2

KVKK/GDPR-compliant consent; even when consent is denied, modelled conversion data is still produced.

◆ 05 — Data analysis

Turning data into insight.

Collecting data is only half the job. Real value emerges when the data is analysed with the right questions and converted into business decisions.

◆ 01 · Segmentation

User segmentation.

Rather than sending everyone the same message, we group users by behaviour, demographics and purchase intent. Standard segments we build for e-commerce clients:

  • High-intent non-converters — Users who added to cart but never purchased; critical for remarketing.
  • Repeat buyers — 2+ purchases in the last 90 days; ideal for loyalty programmes.
  • Lapsed customers — 180+ days since last purchase; fuel for win-back campaigns.
  • High-value organic users — Arrived via SEO and purchased with high AOV.
◆ 02 · Behaviour & funnel

Behavioural analysis.

We analyse the path users take through your site step by step. A typical e-commerce funnel looks like:

  • HomeCategoryProduct detailCartCheckoutThank-you

Measuring drop-off at each step surfaces the real bottlenecks and lets us recommend priority-ranked optimisations — the exact approach we apply at BKM Kitap, Childgen and CaddeYıldız Mobilya.

◆ 03 · Attribution

Attribution (attribution) models.

"Which channel drove this sale?" — the oldest question in digital marketing. GA4's data-driven attribution model uses machine learning to assign weight to every touchpoint.

  • We activate multi-touch attribution in both GA4 and Google Ads.
  • We build custom attribution models on top of the BigQuery export.
  • We de-duplicate conversions that overlap between Meta Ads and Google Ads.
  • We feed offline sales (phone, store, CRM) back into GA4 via Offline Conversion Import.
◆ 06 — Looker Studio

Reporting and dashboard design with Looker Studio.

Google's free reporting platform unifies dozens of sources — GA4, Google Ads, Meta Ads, Search Console, CRM and Sheets — on a single screen. We design dashboards tailored to each brand's own KPIs.

C-Level

Executive dashboard

Total revenue, ROI, channel contribution and period-over-period comparison, all on one screen.

Marketing

Campaign dashboard

Campaign-level CPA, CTR, ROAS, conversion paths and budget pacing.

E-commerce

E-commerce dashboard

Product-level revenue, cart abandonment, category performance and return rate.

SEO

Organic dashboard

Organic traffic, average position, CTR and Core Web Vitals.

Content

Content dashboard

Blog traffic, read time, and per-conversion content contribution.

ServiceScope
Custom dashboard designAn interactive 1–5 page dashboard mapped to your goals.
Data-source integrationConnections to GA4, Google Ads, Meta Ads, Search Console, Bing Ads, LinkedIn Ads, Shopify, Ticimax and CRM.
BigQuery integrationCustom SQL queries on top of BigQuery exports for large datasets.
Automated reportingWeekly / monthly PDF reports by email and Slack alerts.
Dashboard maintenanceMonthly data validation, new metric additions and visual refinement.
◆ 07 — Mobile analytics

Mobile and app analytics.

Fundamentally different from web: sessions become session_start events, page views become screen_views, conversions become in-app events. After Apple's ATT policies, getting the setup right matters more than ever.

Mobile app analytics is fundamentally different from web analytics. Sessions are replaced by the session_start event, page views by screen_view, and conversions by in-app events. After Apple's SKAdNetwork and App Tracking Transparency policies, correct implementation matters far more than before.

Firebase AnalyticsGoogle's free analytics SDK for iOS and Android. Unifies with GA4 under a single property.
GA4 for AppsVisualise the data flowing in from Firebase inside the GA4 interface.
AppsFlyer / AdjustMobile paid-campaign attribution — optional, depending on budget.
Mixpanel / AmplitudeProduct analytics — especially for SaaS mobile apps.

Critical mobile metrics we track

Day 1 / 7 / 30 retention▲ 48% → 22% → 14%
DAU / MAU (stickiness)28%
Session length4m 12s
In-app purchase ARPU$3.80
Crash-free users99.6%
Push open rate8.4%
◆ 08 — CRO & A/B testing

Conversion rate optimisation.

Analytics data produces no value on its own — value emerges when it drives the next action. We feed the infrastructure we build into A/B testing and CRO programmes.

In a typical CRO project, from hypothesis generation to shipping the winning variant, we combine three inputs: GA4 data, user interviews and Hotjar session recordings.

For test tooling — following Google Optimize's sunset — we migrate existing clients to VWO or AB Tasty. For engineering teams we recommend GrowthBook for combined feature flagging + A/B testing.

◆ VWO
Enterprise-grade A/B and multivariate testing.
◆ AB Tasty
Visual editor marketers can operate without developer help.
◆ GrowthBook
Feature flagging + A/B testing for engineering teams.
◆ Hotjar
Heatmaps, session recording and qualitative data capture.

Typical CRO workflow

01Hypothesis generation — Observations mined from GA4 + Hotjar data.
02Test design — Statistical power calculation and sample-size plan.
03Variant build & QA — Mobile and desktop testing.
04Launch — Data collection and daily monitoring.
05Significance analysis — Bayesian or frequentist test.
06Ship & document — Ongoing monitoring of the winning variant.
◆ 09 — Process

Our analytics implementation process.

We work in six clear steps. Each one starts only once the previous deliverable is signed off — no surprises, fully traceable.

01 / 06

Discovery & audit

We review your current measurement stack, list broken or missing events, and draft the measurement plan.

02 / 06

Measurement-plan sign-off

We document the event taxonomy, KPI set and dashboard plan, then hand it over for approval.

03 / 06

Technical build

GTM container, GA4 property, data layer and server-side tracking are built out.

04 / 06

QA & validation

DebugView, Tag Assistant and the BigQuery export verify that every data flow is accurate.

05 / 06

Dashboards & reporting

Custom dashboards are designed in Looker Studio and automated report delivery is configured.

06 / 06

Training & ongoing support

We train your team and run monthly data-health checks to keep the setup sustainable.

◆ 10 — Why Webtures?

Why Webtures for analytics consulting?

Beyond tool setup — a team that thinks about the whole digital ecosystem, backed by 16 years of agency experience.

◆ 01 / 07

16 years of agency experience

One of Türkiye's oldest digital-marketing agencies, with 4,000+ brand engagements behind us.

◆ 02 / 07

Google Cloud Partner

A certified team across the GA4, BigQuery and Looker Studio stack.

◆ 03 / 07

E-commerce focus

Proven results at e-commerce brands such as BKM Kitap, Childgen and CaddeYıldız Mobilya.

◆ 04 / 07

Vertical expertise

Industry-specific event-taxonomy templates for finance (Papara, İntegral Forex), healthcare (VSY), SaaS (Uyumsoft) and logistics (Ekol).

◆ 05 / 07

Ready for the GEO era

With the rise of AI-powered search, we extend analytics from GA4 and traditional SEO all the way into GEO metrics.

◆ 06 / 07

GDPR/KVKK-compliant setup

Consent Mode v2, IP anonymisation and retention policies aligned with KVKK and GDPR standards.

◆ 07 / 07

Istanbul & London

Local in Türkiye, global in Europe. Two offices, one team.

◆ 12 — FAQ

Frequently asked questions.

Short, direct answers to the questions we get most often about analytics setup, process and pricing.

01Is migrating from Universal Analytics to GA4 mandatory?+
Yes. Google sunset Universal Analytics on 1 July 2023 and shut down access to UA historical data on 1 July 2024. Every brand must be on GA4.
02How long does a GA4 setup take?+
A baseline setup on a standard e-commerce site is 2–3 weeks; a full setup including enhanced ecommerce, server-side GTM and Looker dashboards runs 6–8 weeks.
03Will my existing GA4 data be affected?+
Restructuring does not delete existing data. Only the forward-looking event structure is updated. Renaming critical events can introduce gaps in historical comparisons — we discuss this during the measurement-plan stage.
04Is server-side tracking necessary?+
Not mandatory, but recommended. For iOS-heavy e-commerce brands, ITP and Safari cookie restrictions cause 15–30% data loss on client-side tracking. Server-side GTM closes most of that gap.
05What is Consent Mode v2, do I need it?+
Consent Mode v2 still sends anonymous signals to Google when users decline cookies, enabling modelled conversions via machine learning. For EEA users it has been mandatory for Google Ads remarketing since March 2024. Not mandatory in Türkiye, but recommended for KVKK alignment.
06Wouldn't Power BI or Tableau be better than Looker Studio?+
It depends on budget, data volume and existing stack. Looker Studio integrates tightly with the Google ecosystem, is free, and is enough for most non-enterprise brands. Power BI fits Microsoft-heavy stacks; Tableau shines on large-scale data and complex visualisation. We deliver on all three platforms.
07Do you also consult on mobile apps?+
Yes. Full-scope analytics consulting for iOS and Android apps, including Firebase Analytics, GA4 for Apps and AppsFlyer/Adjust setup.
08What does analytics consulting cost?+
It depends on scope. We offer packages ranging from a basic GA4 + GTM audit all the way to a full-stack build with enhanced ecommerce, server-side and Looker dashboards. The initial call and audit are free — we quote after understanding your needs.

Let's write the next chapter of your digital growth together.

We'll set up your full GA4 measurement layer end-to-end, from install to conversion modelling. Our team will reach out shortly with a lossless, GDPR-aligned plan.

Get in touch
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