Hack'celeration Agency · Analytics 2026The analytics agencythat plans your tracking, wires clean GA4, builds the funnels, respects consent, ties data to revenuetrust your numbers again.
An analytics agency only earns its place when you can trust the numbers and see what actually drives revenue, not when it hands you a dashboard nobody opens. We write the tracking plan first, wire clean GA4, GTM and server-side tagging with Consent Mode v2 for GDPR, then build the funnels and attribution that answer the question you actually have.
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GeminiAn analytics agency makes the numbers true, not just pretty.
Anyone can install GA4. Deciding what to measure, wiring it cleanly, keeping it privacy-compliant, and turning it into decisions is a different job. Here are the four things we own.
- Tracking plan
A tracking plan before a single tag fires
Most analytics break because nobody decided what to measure first. We sit with you, map the user journey, and write a tracking plan: the events, conversions and properties that map to your business, named consistently, documented so it survives a redesign or a team change. GA4 only tells you the truth if you tell it what the truth is. We start there, not with tags.
See a typical plan - Clean implementation
GA4 and GTM wired so the data is actually clean
We implement the plan in Google Tag Manager with a real data layer, set up GA4 events and conversions, and add server-side tagging so ad blockers and short cookie lifespans stop eating your signal. Every tag is QA'd before it ships, so you stop second-guessing whether a number is real. Mixpanel, Amplitude or Hotjar on top when product or behaviour analytics needs them.
See the method - Attribution & insight
Funnels and attribution that show what drives revenue
Once the data is trustworthy, we build the funnels, dashboards and attribution views that answer the question you actually have: what is driving revenue, and where do people drop off. We can export to BigQuery for the analysis GA4's interface won't do, and feed clean numbers into your BI. Reports nobody reads are waste; we build the few views your team checks every week.
See the integrations - Privacy & compliance
Consent Mode v2 wired, GDPR-compliant by design
Analytics that ignores consent is a liability, not an asset. We wire Consent Mode v2 with your CMP (Axeptio, Didomi, Cookiebot, OneTrust), set up server-side tagging to control what leaves your domain, and apply the anonymisation and filtering that keep you compliant. We're an automation and AI agency first, so this plugs into the rest of your stack instead of sitting in a silo.
See AI enablement
We treat analytics as a measurement plan, not a tag dump.
Most analytics fail the same way: GA4 dropped in, events fired at random, consent ignored, and a dashboard nobody trusts. So we start with the question you're trying to answer, write the tracking plan, then implement GA4, GTM and server-side cleanly, with Consent Mode v2 wired from the start and every tag QA'd before it ships.
- Audit · check your current GA4 and GTM, find where the data lies and why
- Plan · the events, conversions and properties that map to your business
- Implement · GTM, data layer, server-side and GA4, every tag QA'd before it ships
- Activate · funnels, dashboards and attribution your team checks every week
We start with the question, not the tool.
We don't sell a partner tier or a dashboard you'll never open. We run our own analytics the same way: a tracking plan that maps to revenue, server-side tagging, Consent Mode v2, and the few views we actually check. That discipline is exactly what's missing when an agency drops in GA4 and walks away.
- We start with the question you're trying to answer, not the tool. A pile of events nobody reads is worse than three you trust.
- Privacy-first by default: Consent Mode v2 and server-side tagging wired so your tracking is compliant, not a liability waiting for a complaint.
- You leave autonomous: the tracking plan is documented and the setup is yours, so a redesign or a new hire doesn't break your data.
- Honest about the limits: garbage in is garbage out, consent rules cap some tracking, and a dashboard never replaces asking the right question.
A clean tracking plan at the core, your analytics stack around it.
We configure the parts that turn raw clicks into numbers you trust, then connect them to how your team already decides. Here's what a real analytics setup covers.
- Setup
Tracking plan & measurement strategy
We write the measurement plan that decides what to track and why: the events, conversions and user properties mapped to your business goals, named consistently and documented so it survives team changes.
- Setup
GA4 setup & migration
We configure GA4 properly: data streams, events, conversions, custom dimensions and the reports that matter, then audit what's already there and fix the broken tracking you inherited.
- Setup
Google Tag Manager & data layer
We build a clean data layer and implement every tag in GTM, so tracking is maintainable and your dev team isn't hardcoding analytics into the app for every new event.
- Setup
Server-side tagging
We set up server-side GTM so data passes through a server you control: more resilient to ad blockers, first-party cookies that last, and tighter control over what gets sent where.
- Setup
Consent Mode v2 & GDPR
We wire Consent Mode v2 with your CMP and configure the anonymisation and data-flow rules that keep your analytics GDPR-compliant, mandatory for Google Ads and GA4 in Europe.
- Setup
Dashboards, BigQuery & BI
We build the funnels and dashboards your team actually checks, and export to BigQuery when you need the raw events for analysis GA4's interface won't do, feeding clean numbers into your BI.
We audit your tracking, you leave with a plan.
Before quoting anything, we take 60 minutes to look at your GA4, your Tag Manager, and where your data is lying to you. You leave with an honest read on which of your numbers are real, what to fix first, and whether consent is set up right. Zero pitch, just an analyst's take on your tracking.
- An honest read on which of your numbers you can trust
- The tracking and consent gaps to fix first
- The events and funnels worth building
- A frank take on what analytics won't fix
How we run an analytics implementation.
Five steps, in order. We don't fire a tag before the tracking plan is written, we don't ship an event without QA, and your team owns it at the end. Each step has a deliverable and you sign off before we move on.
- Step 1 · Analytics audit
Find where your data is lying to you
We check your current GA4 and Tag Manager: duplicate events, conversions that don't fire, traffic mislabelled, consent ignored. Most setups quietly report numbers nobody should trust. Half the value is telling you which of your current numbers are real and which aren't, so you stop making decisions on broken data before we change a thing.
- Step 2 · Tracking plan
Decide what to measure, and why
Before touching a tag, we write the tracking plan: the events, conversions and properties that map to your real business questions, named consistently and documented. We interview the people who'll use the data so the plan answers their questions, not a generic template. This is the step most agencies skip, and it's why their dashboards end up unread.
- Step 3 · Clean implementation
Wire GA4, GTM and server-side properly
We implement the plan in Google Tag Manager with a real data layer, configure GA4 events and conversions, and add server-side tagging so ad blockers and cookie limits stop eroding your signal. Every tag is QA'd before it goes live. Consent Mode v2 is wired with your CMP from the start, so you're compliant by design, not patched later.
- Step 4 · Activate the data
Build the funnels, dashboards and attribution
Clean data is only useful if someone reads it. We build the funnels that show where people drop off, the attribution views that show what drives revenue, and the few dashboards your team checks weekly. When GA4's interface isn't enough, we export to BigQuery and feed BI. Product analytics in Mixpanel or Amplitude when behaviour is the question.
- Step 5 · Hand over & train
Train the team, then get out of the way
We train your team to read the dashboards, add events against the plan, and keep the tracking healthy as the site changes. The plan lives in your documentation so new hires inherit it. If you want to go deeper, our analytics training covers GA4, GTM and server-side end to end. If you want us on call for what scales next, we talk about that separately.
We're judged on numbers you can trust.
No partner badge to display, so we lead with what matters: feedback from the teams whose tracking we rebuilt, and whether they stopped second-guessing their data after we left. Our Trustpilot reviews come from those teams, not from a marketing deck.
- The tracking plan is documented and owned by your team
- Consent Mode v2 and QA wired before any number is trusted
- Funnels and attribution mapped to revenue, not vanity metrics
- Trustpilot reviews come from the teams whose data we fixed
The questions we get asked on repeat.
What does an analytics agency actually do?
An analytics agency makes your numbers trustworthy and useful. We write the tracking plan that decides what to measure, implement clean GA4 and Google Tag Manager with a real data layer, add server-side tagging, wire Consent Mode v2 for GDPR, and build the funnels, dashboards and attribution that show what drives revenue. The point is a team that trusts its data and acts on it, not a pile of events nobody reads. We start with your business question, then the tracking.How much does an analytics setup cost?
It depends on scope: a GA4 and GTM audit-and-fix is nothing like a full tracking plan, server-side tagging, BigQuery export and dashboards across several properties. We don't throw out a flat package. We start with a free 60-minute audit to find where your data is broken and what's worth fixing, then quote a fixed scope. The tools themselves (GA4, a CMP, BigQuery beyond free tier) you pay their vendors directly; we set them up so the bill stays predictable.Why don't my GA4 numbers match my other tools?
Almost always a tracking problem, not a tool problem. GA4, your ad platforms and your CRM count differently, sample at different points, and lose data to ad blockers, consent and short cookie lifespans. A clean tracking plan, server-side tagging and Consent Mode v2 close most of the gap and explain the rest. We audit where the discrepancy comes from first, because chasing a perfect match between tools that measure differently is a trap.Do I need server-side tagging?
Often yes, but not always. Server-side GTM routes your data through a server you control, which makes tracking more resilient to ad blockers, gives you first-party cookies with a longer life, and tightens control over what leaves your domain, useful for both data quality and GDPR. It adds setup and a small hosting cost. For a simple site with light tracking, client-side may be enough. We'll tell you honestly whether it earns its place for you.Is GA4 GDPR-compliant, and how do you handle consent?
GA4 can be run compliantly, but not out of the box. Consent Mode v2 has been mandatory since 2024 for Google Ads and GA4 in Europe, so we wire it with your CMP (Axeptio, Didomi, Cookiebot or OneTrust), configure server-side tagging to control what leaves your domain, and apply anonymisation and filtering. Consent does cap what you can track, and we won't pretend otherwise. We build the most useful analytics that stays within the rules.What tools do you work with beyond GA4?
GA4 and Google Tag Manager are the core for most sites, with server-side GTM for resilience. For product and behaviour analytics we use Mixpanel or Amplitude, and Hotjar for session and heatmap context. For analysis GA4's interface can't do, we export to BigQuery and feed your BI. We pick tools against your question, not the other way round. Three tools you actually use beat ten that sit unread.Will better analytics fix my conversion rate?
No, and we won't pretend otherwise. Analytics shows you where people drop off and what correlates with revenue; it doesn't fix the page, the offer or the funnel. Garbage in is garbage out, and the best tracking in the world can't answer a question nobody asked. We make your data trustworthy and point to where the problem is. Acting on it is a separate job, and we'll be honest about which is which.How long does an analytics implementation take?
For a scoped setup (audit, tracking plan, GA4, GTM, Consent Mode v2), count 2 to 4 weeks: audit and plan first, then implementation and QA. Adding server-side tagging, BigQuery export and a full dashboard suite runs longer. We split it into batches so you get clean, trustworthy core tracking fast, rather than waiting on a big build before any of your numbers can be trusted.
Stop guessing at your data. Trust your numbers.
A 60-minute audit, your tracking checked, a plan to make GA4 trustworthy with consent baked in. If your team can run it in-house after setup, we'll hand you the playbook. If we're the right fit, we handle it.