GA4 + Direct API stack: an honest deep dive
About half of $50-150K/mo brands haven't bought an attribution platform yet. They're running GA4 with the Meta Ads API and the Google Ads API as the source of truth, often glued together with Looker Studio, a Sheets dashboard, or a Supermetrics subscription. It's not a vendor - it's the absence of a vendor. The honest case is that this stack delivers a 70%-fidelity version of the same dataset for under $200/mo in connector cost. The honest cost is engineering time: signal loss is real, blended ROAS is on you to define, and creative-level reporting is whatever you have time to build. We include it here because for prospect outreach and sub-$100K/mo brands, this is the most common 'tool' you're competing with - and it's also the cheapest path for an integration partner to plug into.
Founded
2020
HQ
n/a (DIY stack)
Funding
n/a - free or sub-$200/mo connector cost
Methodology
MTA platform blended
The 'no attribution stack' fallback - GA4 plus the Meta Ads API plus Google Ads API, glued together.
About half of $50-150K/mo brands haven't bought TW or anything like it yet. They're running GA4 with the Meta Ads API and Google Ads API as the source of truth, glued together with Looker Studio, a Sheets dashboard, or a Supermetrics subscription. It costs under $200/mo in connector fees - sometimes nothing at all.
The honest case: this stack delivers a 70%-fidelity version of what Triplewhale shows, for a fraction of the price. The honest cost is engineering time. For sub-$30K/mo spenders, the math usually favors DIY. Above that, the maintenance cost of the homegrown stack starts to outweigh the SaaS price.
Each platform's last-click + GA4 cross-channel; reconciliation is manual.
Inputs
- Meta Ads API
- Google Ads API
- TikTok Ads (limited)
Engine
Each platform's last-click + GA4 cross-channel; reconciliation is manual.
Outputs
- Ad-level dashboard
- CAPI feedback to platforms
- Warehouse export (BigQuery (free GA4 export))
Capability profile
How GA4 + Direct API stack scores across the seven dimensions that actually differentiate attribution platforms
Scores are evidence-weighted, not vendor-supplied. The note under each bar explains the score.
Creative Attribution
Possible via Meta Ads API; rolling-your-own ad-level reporting is expensive in time.
Incrementality Testing
Geo-holdout doable manually; nothing automated.
Cross Channel
Each platform sees only its own spend; cross-channel reconciliation is manual.
Data Export
GA4 free BigQuery export is genuinely valuable; ad-platform exports require connectors.
Speed To Value
Building it yourself takes 2-8 weeks depending on what you accept as 'good enough'.
Accuracy Claim
70% fidelity vs paid attribution stacks; signal loss is a known limitation.
Support Quality
No vendor - support is Stack Overflow, Reddit, and the docs.
- Effectively free - no platform license required.
- GA4 BigQuery export is high-quality first-party data at zero cost.
- No vendor lock-in - you own everything.
- Useful as the prospecting baseline before a brand buys a paid stack.
- Cross-channel reconciliation is on you; numbers will fight.
- No creative cockpit - building one is meaningful eng work.
- Signal loss post-ATT is fully your problem to fix.
- No support, no SLA, no roadmap.
- Sub-$50K/mo spenders who can't justify $300+/mo for a paid platform.
- Founders bootstrapping who want full control of the data.
- Integration partners building 'works without TW' onboarding paths.
- Anyone who needs reconciled numbers without DIY effort.
- Brands above $150K/mo - the maintenance cost outweighs the savings.
- Teams that don't have someone comfortable with APIs and SQL.
What it connects to
Ad platforms
- Meta Ads API
- Google Ads API
- TikTok Ads (limited)
Storefronts
- Shopify (via GA4)
- WooCommerce
- Custom
Analytics + email
- GA4
- Looker Studio
- Sheets
Warehouses
- BigQuery (free GA4 export)
Other
- Supermetrics
- Funnel free tier
- Improvado lite
Style
Each platform's native API
Public
Yes
Rate limit
Per-platform; Meta is the tightest
Webhooks
No
Docs: GA4 Reporting API, Meta Marketing API, Google Ads API
Solo founder, scrappy growth marketer, or ops generalist at an early-stage brand. Doing $5-150K/mo in spend, comfortable with spreadsheets, allergic to $300+/mo SaaS bills.
Common buyer notes
- Maintenance is your real cost - APIs change quarterly and dashboards rot without an owner.
- GA4 BigQuery export is free but requires a billing-enabled GCP project.
- Supermetrics or similar is often the practical glue at the connector layer.
Read the contract
- No vendor contract - but no SLA, no support, no roadmap either.
- Reconciliation between Meta, GA4, and Shopify is on you to defend.
- Plan for a graduation event around $30-50K/mo spend when paid tooling pays back.
- Brands underestimate the maintenance cost - APIs change quarterly.
- Conversion counts never quite reconcile across Meta, GA4, and Shopify.
- Looker Studio dashboards rot if no one owns them.
What buyers move to next
When GA4 + Direct API stack customers outgrow the product, they typically move toward:
- Triplewhale or Polar Analytics
- Add Elevar for server-side conversion accuracy
- Northbeam (rare jump - usually via a paid intermediate first)
Creative-team fit
How relevant is this tool to your creative team?
Low. Without a paid creative cockpit, ad-level reporting is a custom build. Most brands at this stage iterate on creative via Meta Ads Manager directly.
Compare directly
GA4 + Direct API stack vs the alternatives
Most buyers narrow it to two candidates. Use the dedicated vs page for each pair.
Sources
What we read to build this
GA4 + Direct API stack tells you what worked. Shuttergen helps you ship the next 25 variants.
Attribution closes the analysis loop. A creative engine closes the production loop. You need both.
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