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Data Research Analysis

AI-powered paid media plan builder for CMOs that turns your website into a channel-by-channel spending strategy

Overview

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A look at dataresearchanalysis.com

Data Research Analysis is an AI-powered paid media operating system designed for CMOs and marketing teams. It reads your website and goals to automatically build a channel-by-channel paid media plan specifying where to spend, how much, and what creative to create. The platform provides a defensible plan with recommended budgets and targets for each channel, along with a campaign playbook and creative briefs.

Once a plan is built, users can connect their ad accounts through OAuth to sync live campaign performance data from Google Ads, Meta, Google Analytics, and other channels. The platform then compares planned spending and targets against actual results, flagging underperforming campaigns and suggesting budget shifts to optimize performance.

The builder includes both Basic mode (automated 18-step pipeline) and Advanced mode (with a detailed brief covering industry, competitors, and existing channels). Users review five human checkpoints before receiving deliverables including media plan, creative copy, tracking setup, and strategy deck. A free 24-hour trial lets users run the first seven steps without signing up.

Feature notes

  • AI-powered channel-by-channel plan builder from website analysis
  • Multi-source data integration from Google Ads, Analytics, SQL databases, CSV, Excel, and PDF
  • Custom interactive dashboards with cross-source data joining
  • Automated wasted-spend alerts and underperformance signals
  • Creative brief and campaign playbook generation
  • Advanced mode with detailed strategic brief and multiple review checkpoints
  • Export to PowerPoint deck and strategy documents
  • OAuth-connected ad account integration for automatic syncing

Pricing

Pricing model: Freemium

Free plan at $0/month with 1 paid media plan build/month and 4 channels; Starter at $23/month (billed annually at $276, save $72/year) with unlimited channels and 5 plan builds/month; Professional at $103/month (billed annually at $1236, save $312/year) with unlimited builds and advanced tools; Prof

FAQ

What is Data Research Analysis?
Data Research Analysis (DRA) is an AI paid-media operating system for CMOs, performance marketers, and digital marketing teams. Plan Studio turns your website and brief into a channel-by-channel paid media plan specifying where to spend, how much, and what to create, then tracks campaigns against that plan with targets, attribution, dashboards, reports, and AI insights.
How does the paid media plan builder work?
Enter your website, target platforms, markets, budget, and dates. In Basic mode the AI runs the full 18-step pipeline without follow-up questions; Advanced mode adds a detailed brief covering industry, product, competitors, existing channels, team, and autonomy. You review five human checkpoints and receive a media plan, creative brief, ad and landing-page copy, tracking setup, campaign build guide, QA checklist, and strategy deck.
Can I try it before signing up?
Yes. Start a free 24-hour guest plan from the homepage with just your website. You can run the first seven steps including market and competitor research and keyword planning; later steps and exports are locked. Register to claim the plan into a free account and continue building it.
Do I need technical skills to use Data Research Analysis?
No. Plan Studio is built for marketers: you provide the website and brief, and the AI handles research, planning, copy, and deliverables. Ad accounts connect through OAuth, and files can be uploaded directly. For analysts, visual data modeler and SQL/MongoDB connectors are available on Professional and above for deeper control.
How is Data Research Analysis different from a BI or analytics tool?
BI tools visualize data but do not tell you where to spend. DRA builds the plan first specifying where to spend and how much, then writes those targets into campaign records, syncs actual results back, and compares planned versus actual performance. This creates a closed loop from strategy to spend to outcome, not just another dashboard.

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