Turn campaign exports into decisions your team can explain.
Use Amridata to inspect campaign, audience, content, email, and conversion exports without building a warehouse first. Clean the file, compare performance, visualize trends, and ask dataset-aware questions in one workspace.
Use the data you already export.
Amridata is file-first: bring a table from the system you already use, then inspect, clean, visualize, and explain it.
Compare campaigns
Review spend, clicks, leads, conversions, revenue, or other measures by campaign, channel, creative, region, or period.
Find messy attribution exports
Spot blanks, duplicate rows, inconsistent channel names, and fields that need normalization before presentation.
Create stakeholder-ready visuals
Build and save charts that make performance differences easier to communicate in a report or presentation.
Files and fields marketing teams can explore
The exact columns depend on your source system. These examples describe the kinds of tabular exports the workspace is designed to handle.
Four steps from export to explanation
No platform connector is required for the core workflow. Start from CSV, XLSX, or JSON data you are authorized to use.
- 1
Export
Download a CSV/XLSX report from your ad, email, analytics, or CRM platform.
- 2
Inspect + clean
Check types, blanks, duplicates, and inconsistent labels.
- 3
Compare + visualize
Build campaign, channel, segment, and trend charts.
- 4
Explain + report
Use AI context and saved charts to assemble a clearer stakeholder report.
Use business questions to choose the next analysis.
A good workflow starts with the decision you need to support, then picks the chart, cleaning step, or AI question that fits it.
- Which campaign or channel contributes the most conversions?
- Where are high spend and weak outcomes occurring together?
- Which categories should be normalized before reporting?
- What chart best communicates performance over time?
Features that support the workflow
Use only the parts that match your question; the product does not force every dataset into the same analysis.
Marketing analytics questions
What Amridata does—and what it does not pretend to be.
Does Amridata connect directly to ad platforms?+
The current workflow focuses on uploaded files rather than requiring paid external platform APIs. Export a CSV or spreadsheet from your source platform and analyze it in Amridata.
Can I use Amridata for A/B test data?+
You can inspect, summarize, clean, and visualize A/B test exports. Formal statistical significance should be evaluated with an appropriate statistical method and sufficient sample design.