The Technical Translation Trap
No data engineer. No analyst hire. No waiting on IT.
A marketing data analyst costs about $70,000 to $93,000 per year.
Marketers spend over 10 hours per week on manual tasks that AI and automation can remove.
The AI Data Modeler turns plain English into working models and dashboards. No SQL required.
Three ways technical overhead steals your strategic time — and how DRA fixes each.
When a dashboard breaks, the team doesn't call IT — they call the CMO. You're troubleshooting SQL queries and data connections instead of planning the next quarter's strategy.
Every new question requires a new SQL query. Every query needs a data engineer. Every ticket takes 3 days. By the time you get the answer, the question has changed. DRA eliminates the SQL bottleneck.
Setting up GA4 properties, configuring API integrations, managing OAuth tokens, maintaining custom dimensions — this is not marketing strategy. Yet CMOs spend hours on it every week.
Built for marketers. No code required.
Connect Google Ads, GA4, Meta, SQL, CSV, Excel, and PDF with OAuth. No API keys to manage, no tokens to refresh, no documentation to read.
Describe the insight you need in plain English. "Show me ROAS by channel compared to last month" — DRA builds the data model and dashboard automatically.
Build interactive dashboards by dragging components onto a canvas. No HTML, no CSS, no JavaScript — just point, click, and publish.
Ask questions directly. "Why did Meta CPL spike last week?" Get an instant answer with supporting data. No query, no ticket, no wait.
If a data source disconnects, DRA alerts you and provides one-click reconnection. No more detective work finding why your dashboard went blank.
Every feature in DRA is designed for marketing executives. No engineering background required. Your data team can focus on real problems while you own your analytics.

DRA's AI Data Analyst answers your questions in plain English. Ask "Why did conversions drop last week?" and get an instant answer with supporting data. No data team ticket, no SQL query, no wait.
Per year for a marketing data analyst
Per week on manual tasks AI can remove
Required — plain English builds models and dashboards
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
Because most analytics tools are built for engineers, not marketers. When dashboards break, data stops flowing, or reports don't render, there is no one else to fix it. The CMO becomes the de facto IT support, spending strategic time on technical troubleshooting.
The Technical Translation Trap is when marketing leaders must translate between business questions and technical tools. Instead of asking "what should our strategy be?", the CMO asks "why is the SQL query failing?" or "which API key do I use?" — pure technical overhead that derails strategic thinking.
Yes — DRA is built specifically for marketers who need GA4-level insights without GA4-level complexity. Connect sources in one click, build data models with natural language, and create dashboards with drag and drop. No code, no SQL, no data science team required.
Absolutely not. DRA is designed for CMOs and marketing teams who want to answer their own data questions without tickets to the data team. Our AI Data Modeler lets you describe what you need in plain English — it handles the technical work.
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.