

78% of marketing decision-makers believe at least 10% of spend is wasted. The average organization wastes 25% of its budget on efforts that do not drive revenue.
The status quo already costs well over $8,000 per month (pipeline, BI, attribution tool, and an analyst). That is money you spend today, not a comparison to another product.
Marketing teams spend an average of 14.5 hours per week collecting and preparing data.
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).
10% is a conservative industry benchmark. 78% of marketing decision-makers believe at least 10% of spend is wasted (Haus, 2026, via eMarketer). The average organization wastes 25% (DemandScience, 2026). Your result depends on your data.
54% of CMOs say connecting data from different sources is a major barrier. You have no way to see the full picture without opening 10 tabs.
You can't connect spend to revenue because the infrastructure is missing. Your dashboards show success but the bank account is flat.
Legacy tools carry a 48-hour reporting lag. By the time you see the data, your competitors have already pivoted.
The CEO sees a dashboard full of green arrows but the bank account tells a different story. Trust erodes fast.
Marketing teams spend an average of 14.5 hours a week collecting and preparing data instead of optimizing campaigns.
CMOs are playing IT support for broken dashboards instead of driving strategy. You should not need a data scientist to get a report.
Talent burnout is caused by data drudgery, not workload. Your best people leave because they are drowning in spreadsheets, not strategy.
In a cut-throat market, guessing is expensive. It costs you market share, budget, and your peace of mind.
Stop wrestling with complex tools. Build meaningful reports without writing a single line of SQL.
Connect Google Ads, GA4, and Ad Manager in one view. Break down data silos instantly.
Monitor campaign performance as it happens. Pivot budget instantly to maximize ROAS.
Ask your data questions in plain English. Get instant, CEO-ready answers from our specific AI agents.
Layer public datasets over your private data. Spot trends before your competitors do.
Skip the expensive certifications. Our intuitive interface is built for marketers, not data scientists.
Two powerful tools that turn your connected data into decisions — no SQL required.
Your command center for cross-channel performance. Track every campaign, channel, and dollar in one unified view.
Spend, impressions, clicks, conversions, CPL, pipeline value — updated in real time.
Click into any campaign to see granular performance by channel, platform, and creative.
Get notified when spend spikes, conversions drop, or anomalies are detected.
Drag, drop, and design CEO-ready reports in minutes. Combine charts, tables, and AI insights on one canvas.
Add KPI cards, data tables, charts, text blocks, and dashboards to any layout.
Start fast with templates for weekly performance, executive summaries, and more.
Export to PDF, share with stakeholders, or embed live dashboards anywhere.
Sync Google Ads, Analytics, SQL, CSVs in one click.
Track KPIs, drill into campaigns, catch anomalies with AI.
Drag and drop custom reports with charts and tables.
Share insights, pivot budget, grow your brand faster.




















"Speak to Your Data. Get Answers Instantly."
Imagine having a senior data analyst sitting next to you, ready to answer any question instantly. That’s the AI Data Modeler.
I've joined `GoogleAds_Keywords` with `Sales_Transactions` using `ClickID`.
| Keyword | Avg Order Value | ROI |
|---|---|---|
| "best gaming monitor" | $450 | +320% |
| "cheap led lights" | $25 | -15% |
Insights: Broad keywords generated traffic, but specific 'long-tail' keywords resulted in 2x higher Average Order Value for the Gen Z demographic.
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
Data Research Analysis is an AI-powered marketing analytics platform that unifies data from Google Ads, Google Analytics, SQL databases, CSV, Excel, and PDF files. It helps CMOs and marketing executives build custom dashboards and get actionable insights for marketing ROI without requiring technical expertise.
Our platform connects directly to your Google Ads and Google Analytics accounts via secure OAuth authentication. Once connected, it automatically imports campaign data, performance metrics, conversion tracking, and audience insights for comprehensive cross-channel analysis.
Yes! You can connect unlimited data sources including PostgreSQL, MySQL, MariaDB databases, CSV files, Excel spreadsheets, and PDF documents. Our AI-powered data model builder helps you join data across sources for unified reporting.
No technical skills required. Our AI Data Modeler uses natural language to help you build data models and dashboards. Simply describe what insights you need, and our AI will generate the appropriate data structures and visualizations.
General BI tools visualize data but do not solve the data integration problem. Data Research Analysis is built for marketing executives: it unifies Google Ads, Analytics, SQL, CSV, and PDF sources first, then builds CMO-focused dashboards on top. No complex setup or data engineering required.
Yes. All sensitive data including connection credentials and OAuth tokens are encrypted at rest using AES-256 encryption. We follow industry best practices for data security and are compliant with GDPR and international data protection standards.
Absolutely. You can create projects and invite team members with different permission levels (Owner, Editor, Viewer). Dashboards can also be shared via public links for stakeholder reporting.
We offer 5 plans. FREE is always free (50K rows, 3 projects, 5 data sources, 10 AI generations/month). STARTER is $29/month. PROFESSIONAL is $129/month with unlimited projects, data sources, and dashboards, plus 2-5 team members. PROFESSIONAL PLUS is $399/month for unlimited everything and 6-100 team members. ENTERPRISE is custom pricing tailored to your needs.
Yes! Contact our sales team to discuss plan changes. We'll ensure a smooth transition with no data loss. You can also start with the FREE plan to test the platform before committing to a paid tier.
We recommend starting with our FREE plan to test the platform with 50K rows, 3 projects, and 10 AI generations per month. For enterprise needs or specific feature testing, contact sales for a customized evaluation.
Yes. Annual billing saves you money on paid tiers. STARTER drops from $29/month to the equivalent of $23/month ($276/year). PROFESSIONAL drops from $129/month to the equivalent of $103/month ($1,236/year), saving $312 annually. PROFESSIONAL PLUS drops from $399/month to the equivalent of $319/month ($3,828/year), saving $960 annually. ENTERPRISE is custom pricing.
We're currently in private beta. Contact our sales team to discuss payment options and custom enterprise agreements for your organization.
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.