Every channel on one page
GA4 sessions and conversions next to Google Ads and Meta Ads spend, with channel and campaign names reconciled — no more arguing about whose numbers are right.
GA4 to Power BI, done for you
A GA4 Power BI Marketing Dashboard, Built for You
Google Analytics 4, Google Ads, Meta Ads, and your CRM blended into one marketing report — sessions, cost per lead, and revenue by channel in a single view a senior US-based engineer builds and keeps refreshing. Most builds in 3–5 business days.
Representative dashboard — sample data
Why marketers leave the GA4 interface
Four tabs of channel data is not a marketing report
GA4 knows your traffic, the ad platforms know your spend, and the CRM knows which leads became customers — but nobody sees all three in one place. A GA4 Power BI marketing dashboard closes that loop: sessions, conversions, ad cost, and pipeline outcomes blended into one model, so "what did marketing actually return?" has a single answer instead of four exports.
We connect Google Analytics 4 through its Data API alongside Google Ads, Meta Ads, and CRMs like HubSpot, then reconcile channel and campaign definitions across them. The result is reporting where cost per lead and revenue per channel use the same numbers your finance team does.
What we blend into one model
- Sessions & conversions by channel
- Google Ads & Meta Ads spend
- Cost per lead & per acquisition
- Lead-to-customer rate from CRM
- Landing-page performance
- Campaign ROI against revenue
- Month-over-month channel trend
Try us risk-free for 4 hours
Buy a block of prepaid Flex hours and, if you're unhappy within the first 4 hours, we refund you in full — no questions asked. Hours are deducted only for work you've reviewed and approved, there's no project minimum, and your banked hours never expire.
Why marketing teams call us
Reporting that connects spend to revenue
You send the request; a senior engineer models traffic, spend, and CRM outcomes around how your funnel actually works.
Cost per lead that includes the CRM
Ad cost joined to the leads and deals that actually landed in your CRM, so cost per lead and cost per customer reflect outcomes, not clicks.
History GA4 will not keep
GA4's interface trims and samples; the model we build stores your history in Power BI, so year-over-year channel comparisons stay possible and consistent.
Client-ready agency reporting
Agencies use the same build as a white-labeled monthly report per client — one model, filtered per account, refreshed automatically.
Refreshed before your Monday meeting
Scheduled refresh pulls GA4, ads, and CRM data on a timetable, so the report is current without anyone exporting a CSV again.
What should a blended marketing report answer?
Three questions, in order: where did the traffic and leads come from, what did each source cost, and which sources produced customers and revenue. GA4 alone answers the first, the ad platforms answer the second for their own spend only, and only a blended model — GA4 plus ad platforms plus CRM — answers the third.
The modeling work is mostly reconciliation: UTM conventions, GA4 channel groupings, and ad platform campaign names rarely agree out of the box. We map them once, in one place, so every page of the report uses the same definitions — see Power BI dashboard development for how a build runs.
GA4 reports vs the blended Power BI version
Here is where the standard GA4 and ad-platform interfaces stop and where the dashboard we build picks up — the same events and spend, joined and made comparable.
| Question the marketer asks | Where the answer hides today | Power BI dashboard version |
|---|---|---|
| Which channels drive conversions? | GA4 acquisition reports, sampled and trimmed | Channel trend with full retained history |
| What does a lead cost per channel? | Each ad platform reports only its own spend | Blended cost per lead across every paid source |
| Which campaigns produce customers? | Clicks in ad platforms, deals in the CRM | Campaign spend joined to CRM outcomes and revenue |
| Are landing pages converting? | GA4 page reports, separate from spend | Page performance with the traffic cost attached |
| What did marketing return this quarter? | A slide assembled by hand each month | Spend vs revenue by channel, refreshed automatically |
How do you get GA4 data into Power BI?
Through the Google Analytics Data API for GA4 properties, alongside the Google Ads and Meta Ads APIs and your CRM's API — or scheduled exports where a plan gates API access. E-commerce teams often add Shopify order data so revenue comes from the store, not from analytics estimates.
To be direct about it: GA4's API applies quotas and its numbers can differ from the old interface's, so we confirm the exact connection method and the metrics that matter to you in the scope estimate before any hours are used. Once connected, we configure scheduled data refresh in Power BI (opens in new tab) so the report is current each morning.
What does it cost, and how fast?
You buy prepaid Flex hours that never expire: Starter 20h at $125/hr ($2,500), Growth 40h at $115/hr ($4,600), or Power 80h at $100/hr ($8,000). A first blended GA4, ads, and CRM build typically fits inside one block. Most builds ship in 3–5 business days once you approve the scope estimate.
Traditional Power BI firms charge $175–250/hr, set project minimums, want $10K+ to start, let unused hours expire, and don't begin for 4–6 weeks. Flex Support is $100–125/hr, no minimums, banked hours that never expire, and a start this week. Hours deduct only for approved work. See how prepaid Flex hours work for the full comparison.
Who is this for?
Marketing leaders and founders who have outgrown screenshotting four dashboards into a slide, and agencies that owe every client a monthly number. If your questions are more about store sales than marketing channels, see Power BI for retail and e-commerce.
The ideal fit is a team spending real money across two or more channels with a CRM in place — enough moving parts that blending is a monthly chore, without an analyst to own it. Where the spend sits behind a store and a marketplace, our Power BI dashboards for ecommerce brands take the same ad data through to blended CAC, MER, and contribution margin per SKU. Contact is form-only — send your request and we'll reply with a scope estimate.
Dashboards we build for marketers
- Blended channel performance
- Cost per lead & per customer
- Campaign ROI vs CRM revenue
- Landing-page conversion
- Agency client reporting packs
3–5
business days, typical
Prepaid
hours, never expire
You
own everything
A first build usually fits inside one Flex block, and hours deduct only for work you approve. See Flex pricing →
How it works
From four logins to one marketing report
- 1
Send your request
Tell us your GA4 property, ad platforms, and CRM, and which KPIs matter most. We reply with a scope and hours estimate — including the confirmed connection method — before any work begins. Hours deduct only for builds you approve.
- 2
We model & build
A senior US-based engineer joins traffic, spend, and CRM outcomes into one model, reconciles channel and campaign definitions, and validates totals against each platform — typically 3–5 business days.
- 3
Publish & maintain
We publish to your workspace, set scheduled refresh so figures are current each morning, and hand over the model and credentials. You own everything; we keep it healthy from your banked hours.
Representative perspective
Every month we copied numbers from GA4, two ad accounts, and the CRM into a deck, and they never quite agreed. Having one report where spend and closed deals share the same channel definitions ended those arguments.Marketing director, B2B services company
Representative perspective
As an agency we owed twelve clients a monthly report. One Power BI model filtered per client replaced a day of screenshots, and the numbers finally match what clients see in their own accounts.Founder, digital marketing agency
See what your marketing actually returns
Tell us your GA4 property, ad platforms, and CRM, and the questions you want answered. We'll scope the task and tell you the hours before any work begins — drawn from prepaid Flex hours that never expire, with no project minimums and no obligation.
FAQ
Questions from marketing teams
Power BI's Google Analytics connector supports GA4 through the Google Analytics Data API. For ad platforms and CRMs we use their APIs or scheduled exports, and on larger setups a small staging database. We confirm the exact method for your stack in the scope estimate before any hours are used.
Yes — that blend is the whole point of the build. We reconcile channel and campaign definitions across the platforms so sessions, spend, cost per lead, and CRM revenue sit in one model with one set of numbers, instead of four tabs that never quite agree.
Very close, but not always identical: GA4's interface applies its own sampling, thresholding, and attribution settings, and the API can differ slightly. We validate the model against your property during the build and document any known differences so nobody is surprised later.
Yes. We configure scheduled refresh in the Power BI service so GA4, ad platform, and CRM data are pulled on a timetable and the report is current each morning. Refresh frequency depends on each platform's API limits, which we confirm during scoping.
No. We are an independent, Microsoft-certified consultancy. We are not affiliated with or endorsed by Google, Meta, or Microsoft; we simply build Power BI reporting on the data those platforms hold for you.
Book a free demo
Get senior Power BI help, on demand
Tell us the task. We scope it, you approve, and a senior consultant delivers — typically in 3–5 business days. Prepaid hours that never expire.
- Prepaid hours from $100/hour — and they never expire
- Senior-led delivery — 20+ years on the Microsoft platform
- Typical 3–5 business day turnaround
- Full refund if you’re unhappy in your first 4 hours
The fastest way to reach us is the form — tell us the task and we'll reply within one business day.