Analytics Setup Services: Every Event, Every Property, One Source of Truth
Our team installs the full analytics stack across GA4, Google Tag Manager, server-side tagging, ad platforms, and your CRM. Every event standardized, every property reconciled, every source of truth wired to your revenue reporting. Delivered as a fixed-scope project in 21 to 45 days.
See sample dashboard deliverables →An analytics setup service installs the full measurement stack across GA4, Google Tag Manager, server-side tagging, ad platform conversion APIs, and CRM revenue reporting. Deliverables include a documented event taxonomy, GTM containers with server-side proxy, GA4 property configuration with custom dimensions, ad platform Conversions API integration (Google Ads Enhanced, Meta CAPI, LinkedIn CAPI), and revenue tie-back into HubSpot or Salesforce. Our team ships as a fixed-scope project between $4,997 and $14,997, delivered in 21 to 45 days.
$15M+ in ad spend instrumented across B2B accounts.
Aggregate stats from analytics builds our team has shipped for B2B SaaS, services, and PLG clients over the trailing 12 months.
GA4 + GTM properties shipped to production
Annual ad spend actively instrumented
Days from scoping call to signed handoff
Median lift in conversion match rate after server-side migration
We had three tracking systems that all disagreed. Blago rebuilt the stack top to bottom in five weeks, migrated us to server-side GTM, and now every ad platform, GA4, and HubSpot agree on revenue within 2 percent. Attribution finally makes sense.
Composite illustration. Company name held under NDA. Metrics verified against client GA4, Google Ads, and HubSpot revenue reports.
What ships when you engage our analytics team.
Fixed-scope project fee. Every deliverable ships to your environment with source containers, documented taxonomies, and 30 days of post-launch validation.
Standard build $4,997. Server-side plus CRM revenue tie-back $9,997. Enterprise multi-property $14,997.
A working analytics stack. Not a slide deck.
Six concrete deliverables ship on every analytics setup engagement. You keep the containers, the docs, and the runtime.
Every page view, click, form, video, and revenue event mapped to a canonical name, parameter set, and trigger definition. One spreadsheet, one source of truth, ratified by your product and marketing leads.
Web GTM container plus server-side GTM container deployed to a subdomain on your DNS. Server hosted on Stape or Google Cloud Run. First-party cookies, iOS 14 durable, ad blocker resistant.
GA4 property wired with custom dimensions, custom metrics, conversion events, audiences, and cross-domain tracking. Debug view validated. Data retention set. BigQuery export enabled where scope calls for it.
Google Ads Enhanced Conversions, Meta Conversions API, LinkedIn Conversions API, and TikTok Events API where required. Deduplicated against pixel events. Match rate documented at handoff.
HubSpot or Salesforce deal-value round-trip into GA4 and each ad platform. Closed-won revenue attributed back to campaign, ad, keyword, or content. Multi-touch model where scope calls for it.
Looker Studio or Amplitude dashboard pre-built with acquisition, engagement, conversion, and revenue views. Runbook covers container updates, tag additions, and QA protocol for the internal team.
We design the measurement plan. Then we ship the containers and validate the data.
Consulting-only measurement shops leave you with a taxonomy PDF and no working tags. Dev-shop teams install pixels without a strategy. MV3 does both: a documented measurement plan paired with the engineering team that ships GTM containers, server-side proxy, and revenue tie-back on your stack.
Which events matter, and how each proves revenue.
Before we touch a container, our analytics lead scopes the event taxonomy against your funnel, ad platforms, CRM, and revenue model. You get a defensible measurement plan and a fixed price before you sign.
- 1Funnel mapping: every stage from anonymous visit to closed-won revenue.
- 2Event taxonomy: canonical event names, parameters, triggers, and destinations.
- 3Attribution model choice: data-driven, position-based, or custom multi-touch.
- 4Server-side design: what runs client-side, what proxies through GTM Server, why.
- 5Delivered as a fixed-scope SOW plus a Notion measurement plan.
Our team ships the containers and validates every event.
Once the SOW is signed our analytics engineers build GTM containers, wire server-side tagging, configure GA4, and integrate ad platform Conversions APIs. You own the containers, the domain, and the data. We validate for 30 days after go-live.
- 1GTM web + GTM Server containers built and version-controlled.
- 2GA4 property configured with custom dimensions, audiences, and BigQuery export.
- 3Google Ads Enhanced, Meta CAPI, LinkedIn CAPI wired, deduplicated, match-rate reported.
- 4HubSpot or Salesforce revenue round-trip into GA4 and each ad platform.
- 5Handoff to your team with runbook, Looms, and 30 days of validation support.
Multiple properties or bundling with paid media? Request a custom proposal →
Three guarantees on every analytics setup.
If we miss any of them, you pay nothing for that phase. Written into every SOW.
Every analytics build ships against a signed SOW with fixed scope and fixed price. If our team needs more hours than scoped, we absorb the cost. Not you.
Containers deploy to your GTM accounts, GA4 property, and server-side subdomain. You own every tag, every trigger, every variable. If you ever fire us, the tracking keeps running.
GA4 revenue, Google Ads Enhanced Conversions, Meta CAPI, and your CRM will reconcile within 3 percent of each other at handoff. If we miss the number, we keep tuning at no charge until we hit it.
What real analytics deliverables look like.
Sanitized artifacts from live builds. Every element you see below ships to your team on day one of the engagement.
The event taxonomy
A canonical spreadsheet of every event your site fires, every parameter it carries, and every destination it reports to. Your product, marketing, and data teams all sign off before we build a single tag.
- Canonical event names locked across GA4, ad platforms, and CRM
- Parameter definitions, data types, and value ranges documented
- Trigger conditions expressed in plain English and CSS selectors
- Destination matrix: GA4, Google Ads, Meta, LinkedIn, HubSpot
- Signed off by your product and marketing leads before build starts
Match rate dashboard
A Looker Studio panel that shows every conversion source and the reconciliation delta versus your CRM. If GA4, Google Ads, Meta, and HubSpot disagree, you see it here first.
GTM tag inventory
Every tag, trigger, and variable version-controlled with change history. Prompt updates get graded in a preview environment before they ship to live containers.
Destination map
Every platform your data flows to, at every event. Auth pattern, deduplication key, and consent gating documented so your team can audit and extend the stack independently.
A tracking stack with 5 destinations and no map is a stack nobody owns. The destination map is the artifact your team uses when a new ad platform launches, when a consent regulation changes, or when your CFO asks which platform to trust.
Handoff runbook and Loom library
A written runbook, an architecture diagram, and a Loom walkthrough for every container, event, and destination. Any analyst or engineer on your team can extend the stack after handoff without a call to us.
Book my scoping call →How we ship every analytics stack.
Five stages. Same protocol every engagement. Reproducible so your team can audit any decision, at any tag, at any time.
Funnel, destinations, and revenue definitions locked with your team in a 2-hour scoping call. Fixed SOW ships in 3 business days.
Event taxonomy, data layer spec, and destination map ratified by your product, marketing, and data leads.
GTM web container, GTM Server container, GA4 property, and ad platform Conversions APIs assembled and version-controlled.
Every event fires against GA4 DebugView, Google Tag Assistant, Meta Test Events, and CRM webhook logs. Match rate documented.
Stack goes live on your production containers. Our team monitors and reconciles for 30 days. Handoff runbook and Looms delivered.
What clients report after the stack goes live.
Outcomes reported by Analytics Setup clients in the 90 days post handoff. Company identities are protected under NDA. Personas are composite illustrations of role, stage, and category.
Our three tracking systems finally agree. GA4, Google Ads, and HubSpot revenue reconcile within 2 percent. We stopped fighting about attribution and started scaling the channels that actually convert.
Blago migrated us from Universal Analytics to server-side GA4 in five weeks. Our Google Ads conversion match rate went from 61 percent to 94 percent. Our CFO now trusts the numbers.
The event taxonomy alone was worth the fee. Every team now uses the same event names, so product analytics and marketing analytics finally tie back to the same revenue number.
Company names withheld under NDA. Metrics verified against client GA4, Google Ads, Meta Ads Manager, and CRM revenue reports. Initials avatars used because per-NDA no client likeness is displayed.
Anonymized wins from recent builds.
Six recent analytics setup engagements, sanitized of client identifiers. Full un-redacted case studies are available under NDA on request.
Metrics tracked in client GA4, Google Ads, Meta Ads Manager, HubSpot, and BigQuery. Individual outcomes vary by stack complexity, existing data quality, and platform coverage.
Aggregate findings from 140+ production builds.
Data pulled from MV3’s analytics portfolio, trailing 12 months. No client identities.
of stacks we audit have at least one broken revenue event on arrival
Median lift in Google Ads Enhanced Conversion match rate post-launch
Median attributed pipeline lift after CRM revenue tie-back is wired
Median annual ad spend recovered from broken pixels and mis-fired events
Individual results vary by stack complexity, existing data quality, and ad-platform coverage.
One-time project fee. Standard $4,997. Server-side plus CRM revenue tie-back $9,997. Enterprise multi-property $14,997.
- GTM web + GTM Server containers deployed on your subdomain
- GA4 property configured with custom dimensions and BigQuery export
- Google Ads Enhanced, Meta CAPI, LinkedIn CAPI wired and deduplicated
- HubSpot or Salesforce revenue round-trip into GA4 and each ad platform
- Looker Studio or Amplitude executive dashboard ready on day one
- 30-day post-launch validation and match-rate tuning included
Free scoping call. Fixed SOW inside 3 business days. No payment until you sign.
This is not for you if…
We hold a hard fit bar on analytics setup engagements. If any of the below is true, we’re not the right vendor, and we’ll say so on the scoping call.
- You want a $99 GA4 install off a Fiverr gig. Our builds include server-side GTM, ad platform Conversions APIs, CRM revenue tie-back, and 30 days of validation. If a copy-paste snippet solves your problem, buy that.
- You need it live next week. Real builds ship in 21 to 45 days. Rushed installs skip QA on DebugView, Test Events, and CRM webhook logs, then fail at attribution.
- You have no ad spend and no CRM. The value of this stack compounds against paid media spend and closed-won revenue. If you run zero paid channels and have no deal pipeline, a lighter GA4-only setup is enough.
- You want us to keep your consent management running. We integrate with your CMP (OneTrust, Cookiebot, Iubenda, Osano) but we do not run the compliance stack for you. Consent decisions live with your legal team.
- Your data lives in unstructured chaos. Analytics compounds value on top of clean events and clean CRM records. If your CRM is 40% junk records and your team disagrees on what counts as a lead, we recommend a data hygiene sprint first.
If you’re a fit, keep scrolling. Or book the scoping call now →
Questions buyers ask us.
Google and Meta certified. Manages $15M+ in annual ad spend across B2B accounts. Expert in server-side tracking, GA4 attribution, and performance reporting. Blago scopes every analytics engagement and signs off on every handoff.
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