Ecommerce Business Intelligence, Without the BI Team.
Go beyond dashboards. Analify connects your ads, store, and shipping — and tells you what's making money, what's leaking, and what to do next.
Analify Dashboard
Real metrics, real time — no more spreadsheet guessing
Ask your store
Why did profit fall yesterday?
Evidence first
no guesswork+22% vs last month
+2.1% vs last month
+0.4 vs last month
Ad spend rose EGP 6,200 while delivered revenue stayed flat. TikTok drove most of the increase.
Powering profit tracking for top brands
You Have All the Data. You Have None of the Intelligence.
Data without insight is noise. Here's why most ecommerce BI fails:
Why Enterprise BI Tools Don't Work for Ecommerce
Enterprise BI was built for enterprises. Your ecommerce business needs something different.
How We Compare
Why general platforms and spreadsheets fall short for Egyptian DTC operators.
| Capability | Shopify | Meta Ads | Spreadsheets | Analify |
|---|---|---|---|---|
| True profit after every cost | ||||
| Cross-platform ad attribution | ||||
| COD & RTO tracking | ||||
| AI alerts before problems cost you | ||||
| Arabic + RTL, built for MENA |
Built for Ecommerce Operators, Not Data Teams
No data team required. No 6-month setup. Works out of the box.
See It In Action
Real metrics, real time — no more spreadsheet guessing
Analify Dashboard
Real metrics, real time — no more spreadsheet guessing
Ask your store
Why did profit fall yesterday?
Evidence first
no guesswork+22% vs last month
+2.1% vs last month
+0.4 vs last month
Ad spend rose EGP 6,200 while delivered revenue stayed flat. TikTok drove most of the increase.
AI Insight Example
Analify doesn't just show data — it tells you what to do
“Your cost to get customers grew 28% this month but LTV held steady. At the current CAC trend, you will become unprofitable by March 15. Recommended action: pause broad prospecting campaigns and focus budget on retargeting existing customers where CAC is 65% lower.”
Predictive model based on 90-day CAC trend and current LTV data across 18,000 customers.
From Spreadsheets to Answers
- Spending on BI tools that need data engineers to maintain
- Getting weekly reports that describe what happened, not what to do
- Reacting to problems after they impact revenue
- Important decisions based on incomplete data
- Answers out of the box — no data team, no setup project
- Prescriptive recommendations, not just descriptive reports
- Predictive alerts catch problems before they impact revenue
- Important decisions backed by complete, real-time data
Powering profit tracking for top brands
Common Questions
Everything ecommerce founders ask about ecommerce business intelligence