The MarTech Stack Mess
Replace the pipeline, the warehouse, the BI layer, the attribution tool, and the analyst with one platform.
54% of CMOs say connecting data from different sources is a major barrier.
One-third of CMOs rely on 5 to 15 tools to measure ROI.
The tools, pipeline, and analyst you pay for today cost well over $8,000 per month.
Three ways your tools are working against you — and how DRA unifies them.
Google Ads lives in one dashboard, GA4 in another, Google Ad Manager in a third, your CRM in a fourth. Assembling the full picture requires exporting, joining, and manually reconciling spreadsheets.
Every platform uses its own attribution model. Google Ads claims last-click credit. Meta Ads claims assisted conversion. GA4 uses data-driven. None of them agree — so none of them are actionable.
Paying for 5+ tools that don't talk to each other, plus the engineering hours to maintain them. 54% of CMOs say connecting data from different sources is a major barrier — not an enabler.
All your data. One truth layer. Zero overhead.
Google Ads, GA4, Meta, SQL databases, CSV, Excel, PDF — connect them all in one click. No API keys, no middleware, no engineering tickets.
One query across all your sources. DRA's architecture lets you join Google Ads data with SQL data with CSV data — as if they were one database.
All 6 attribution models built in. Compare first-touch, last-touch, linear, time-decay, position-based (U-shaped), and data-driven — all from the same unified data set.
Build dashboards that combine data from every channel on one canvas. Compare Google Ads ROAS next to Google Ad Manager CPM next to organic conversion rate.
DRA is built for marketers, not engineers. Connect sources, build models, and create dashboards — all without writing a single line of code.
DRA replaces your analytics tool, attribution tool, reporting tool, data connector, and dashboard builder. One platform. One bill. One source of truth.

DRA connects Google Ads, GA4, Meta, SQL databases, CSV, Excel, and PDFs instantly. No API keys to manage, no middleware, no engineering tickets. One platform replaces your entire MarTech stack.
The alternative is not another product. It is the tools, pipeline, and people you already pay for.
| Component | Monthly cost |
|---|---|
| Data pipeline | ~$549/month |
| BI layer | ~$150+/month |
| Attribution platform | $1,500+/month |
| Marketing data analyst | ~$5,800 to $7,750/month |
| What you pay today | well over $8,000/month |
Pipeline, BI, and attribution figures are vendor list prices. Analyst cost is derived from a $70,000 to $93,000 annual salary (PayScale, Glassdoor 2026).
Start free. Scale as you grow. No hidden fees. Cancel anytime.
💰 Save 20% with annual billing
Connect one source and see your first answer.
Key Features
Reclaim hours a week and stop stitching spreadsheets.
$29/month
Save $72/year
Billed annually at $276
Key Features
Run all 6 attribution models and prove ROI to the CFO.
$129/month
Save $312/year
Billed annually at $1236
Key Features
Give your whole team self-service reporting at scale.
$399/month
Save $960/year
Billed annually at $3828
Key Features
Custom deployment, onboarding, and support.
Key Features
DRA unifies your ad platform data (Google Ads, Meta), your analytics data (GA4), and your revenue data (CRM, SQL) into one Federated Query Layer. This lets you trace every dollar from ad spend to closed revenue — automatically, without manual spreadsheet work.
54% of CMOs say connecting data from different sources is a major barrier. The problem is data silos: each tool tracks different metrics, uses different attribution models, and exports different numbers. DRA replaces the chaos with a single truth layer.
DRA is purpose-built for marketing attribution where GA4 falls short. While GA4 offers limited attribution models and no cross-source data joining, DRA connects unlimited data sources, supports multi-touch attribution, and lets you build custom attribution models without engineering help.
BI tools visualize data but do not solve the integration problem — the ETL, the SQL, and the data engineering overhead still land on your team. DRA is a marketing intelligence platform that unifies data first, then visualizes it, so you skip all of that.
Official Partnerships & Verifications
Data Research Analysis is an officially recognised technology provider with Meta and a verified business on LinkedIn, meeting their strict compliance and quality standards.
Officially listed as a Meta Technology Provider, enabling verified access to the Meta Marketing API.
Recognised as a LinkedIn Verified Business, meeting LinkedIn's verification and compliance standards.
Data Research Analysis is an open source data analysis platform developed under the MIT Open Source License.