The Invisible Drain
14.5 hours a week, hidden inside your marketing budget.
Manual data maintenance disappears. Your team gets its time back.
Marketing teams spend an average of 14.5 hours per week collecting and preparing data.
Marketers spend over 10 hours per week on manual campaign optimization, costing North American agencies about $17,000 per employee per year.
A marketing data analyst costs about $70,000 to $93,000 per year.
- Automated ingestion from every connected source.
- The AI Data Modeler builds models from plain English.
- Scheduled refreshes replace manual CSV stitching.
Where the Hours Go
The invisible tasks that drain your team's productive hours.
CSV Export Hell
Exporting data from Google Ads, GA4, Google Ad Manager, and Meta. Formatting columns. Renaming headers. Saving to the right folder. Every Monday morning, same ritual — the Monday Morning VLOOKUP Tax.
VLOOKUP & Spreadsheet Spaghetti
Joining data from different exports using fragile VLOOKUP formulas. One cell shift breaks everything. Debugging takes hours. The VLOOKUP Tax compounds every week.
Dashboard Maintenance
Reports break. Data sources disconnect. Dashboards need updating. Someone on your team spends hours every week keeping the reporting infrastructure alive instead of doing strategic work.
How DRA Eliminates Data Drudgery
Automate the boring stuff. Focus on what matters.
One-Click Data Connections
Connect Google Ads, GA4, SQL, CSV, Excel, and PDF with one click. No exports, no VLOOKUPs, no manual formatting.
AI-Powered Data Joining
DRA's AI Data Modeler automatically detects relationships between data sources and joins them. No manual matching, no fragile formulas.
Auto-Refreshing Dashboards
Set it and forget it. Dashboards update automatically as source data changes. No more Monday morning rebuilds.
Natural Language Queries
Ask questions in plain English. "Show me ROAS by channel for last month" — instant answer, no SQL, no data team request.
Automatic Data Freshness
Scheduled refreshes mean your data is always current. No manual refresh, no stale reports, no "oh, that was last week's data" moments.
Drag-and-Drop Reports
Build custom reports in minutes with drag and drop. No more wrestling with pivot tables or chart configurations.
Automate the Work That's Burning Your Team Out
DRA's AI Data Modeler automatically detects relationships between your data sources and joins them — eliminating the manual VLOOKUPs, CSV exports, and data cleaning that eat hours every week.
- Auto-detect and join related data across sources
- Describe what you need in plain English — no SQL
- Dashboards that refresh automatically — never rebuild
The Math Is Simple
Per week collecting and preparing data
Per week on manual campaign optimization
Per employee per year in agency cost
Simple, Transparent Pricing
Start free. Scale as you grow. No hidden fees. Cancel anytime.
💰 Save 20% with annual billing
FREE
Connect one source and see your first answer.
- 50K rows per data model
- 3 projects
- 5 data sources
- 5 dashboards
- 10 AI generations/month
- Solo Only sub-users
Key Features
- AI Data Modeler
- AI Insights
- Medallion Architecture (Bronze/Silver/Gold layers)
- Marketing Attribution
- Marketing Hub Dashboard
- Campaign Management
- Scheduled Data Refreshes
- 3 Public Dashboard Links
- PNG Export Only
STARTER
Reclaim hours a week and stop stitching spreadsheets.
$29/month
Save $72/year
Billed annually at $276
- 500K rows per data model
- 10 projects
- 15 data sources
- 15 dashboards
- 100 AI generations/month
- Solo Only sub-users
Key Features
- All FREE features
- Multi-layer data pipelines
- CSV/Excel Export
- Advanced Attribution (6 models)
- Email Support (48hr)
- Custom Dashboard Colors
- Real-Time In-App Notifications
- 20 Public Dashboard Links
PROFESSIONAL
Run all 6 attribution models and prove ROI to the CFO.
$129/month
Save $312/year
Billed annually at $1236
- 5M rows per data model
- Unlimited projects
- Unlimited data sources
- Unlimited dashboards
- 500 AI generations/month
- 2-5 sub-users
Key Features
- All STARTER features
- Team Collaboration (2-5 users)
- Compositional data modeling
- Basic RBAC (3 roles)
- Dashboard Embedding
- Custom Dashboard Themes
- API Access (read-only)
- Email Support (24hr)
- Light Branding (logo + colors)
PROFESSIONAL PLUS
Give your whole team self-service reporting at scale.
$399/month
Save $960/year
Billed annually at $3828
- 100M rows per data model
- Unlimited projects
- Unlimited data sources
- Unlimited dashboards
- Unlimited AI generations/month
- 6-100 sub-users
Key Features
- All PROFESSIONAL features
- Enterprise-scale data pipelines
- Full Team Collaboration (6-100 users)
- Advanced RBAC (5 roles, 19 permissions)
- OAuth SSO (Google, LinkedIn)
- Basic Branding (logo + colors)
- API Access (read/write)
- Priority Support (24/7, 4hr SLA)
- Dedicated Account Manager
- Quarterly Business Reviews
- 99.5% Uptime SLA
ENTERPRISE
Custom deployment, onboarding, and support.
- Unlimited rows per data model
- Unlimited projects
- Unlimited data sources
- Unlimited dashboards
- Unlimited AI generations/month
- 100+ sub-users
Key Features
- Unlimited multi-stage data architectures
- All PROFESSIONAL PLUS features
- SAML 2.0 SSO (Okta, Azure AD, OneLogin, ADFS)
- SSO Domain Enforcement (enforce login via IdP)
- Just-in-Time (JIT) User Provisioning
- 99.9% Uptime SLA
- White-Glove Onboarding
- Custom Feature Development
- Direct Engineering Support
- Volume Discounts
- Custom SLA Agreements
Frequently Asked Questions
What is data drudgery in marketing?
Data drudgery is the manual, repetitive work of extracting, cleaning, joining, and formatting data before you can actually analyze it. It is the VLOOKUP formulas, the CSV exports, and the manual reconciliations that consume hours of every week.
How many hours do marketers waste on manual data work?
Marketing teams spend an average of 14.5 hours per week collecting and preparing data (Treasure Data global survey). Marketers also spend over 10 hours per week on manual campaign optimization, costing North American agencies about $17,000 per employee per year (DoubleVerify, 2025).
What is the Monday Morning VLOOKUP Tax?
The Monday Morning VLOOKUP Tax is the hours your team loses every Monday morning manually exporting data, running VLOOKUPs, and fixing broken spreadsheet formulas before they can do actual marketing work. DRA eliminates this completely with automated data connections.
How do I justify a marketing budget increase to my CFO?
Show them the math. Marketing teams spend 14.5 hours per week on data collection and preparation, and a marketing data analyst costs about $70,000 to $93,000 per year. DRA automates that work for a fraction of the cost — and frees your team to focus on revenue-generating optimization.
Official Partnerships & Verifications
Recognised by the World's Leading Platforms
Data Research Analysis is an officially recognised technology provider with Meta and a verified business on LinkedIn, meeting their strict compliance and quality standards.
Technology Provider
Officially listed as a Meta Technology Provider, enabling verified access to the Meta Marketing API.
Verified Business
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.
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