Analytics that share context with everything else.
Attribution, lifetime value, cohorts, and revenue-loss detection, all in the same AI layer that monitors your store and answers your customers.
Insight without a separate tab
Most Shopify analytics tools are built to be looked at, on their own schedule, in their own tab. Ovrt's analytics run inside the same AI layer as store health monitoring and customer support, so attribution and LTV aren't just numbers on a chart, they're context Ovrt uses everywhere else too.
What the analytics layer covers
Visitor & checkout behaviour
See where shoppers drop off across product, cart, and checkout, in plain language, not a funnel chart you have to interpret.
First-party attribution
Attribution built on your own store data, so you can see what's actually driving orders without relying on a single ad platform's view.
Customer lifetime value
LTV alongside the rest of your store context, so a customer's value informs how Ovrt prioritizes support and revenue-loss alerts for them.
Cohort visibility
See how different customer cohorts behave over time, instead of one blended average that hides what's actually changing.
Revenue-loss detection
Abandoned checkouts, failed payments, and refunds tracked and quantified in real numbers, so you know exactly what conversion is costing you.
Weekly digest
What sold, what didn't, and the exact revenue-loss breakdown, delivered every Monday with no dashboard-checking required.
Ovrt vs a typical analytics app
| Ovrt | Typical analytics app | |
|---|---|---|
| Attribution & LTV | First-party attribution and LTV, sharing context with support and store health | Attribution and LTV in isolation, if available at all |
| Revenue-loss detection | Abandoned checkouts, failed payments, refunds quantified in real numbers | Usually limited to checkout funnel charts |
| Customer support | AI support agent built into the same layer | Not included |
| How you consume it | Weekly digest plus a chat you can ask anything | A dashboard you have to check and interpret |
Looking at other Shopify analytics tools too
Evaluating Ovrt against other Shopify analytics and BI tools? See the full comparison against Triple Whale, Polar Analytics, and RetentionX, or read why Ovrt is built as one AI layer instead of a standalone dashboard.
Frequently asked questions
- Does Ovrt do attribution and LTV, not just dashboards?
- Yes. Ovrt's analytics layer includes first-party attribution and customer lifetime value alongside visitor and checkout analytics, all sharing context with store health monitoring and AI support, instead of living in a separate BI tool.
- Can Ovrt help with Shopify cart abandonment?
- Ovrt tracks abandoned checkouts as part of its revenue-loss detection and quantifies the exact amount tied to them, so instead of a generic abandonment rate you see a real number and where it's coming from.
- Does Ovrt do customer cohort analysis?
- Yes. Ovrt surfaces how customer cohorts behave over time as part of its analytics layer, rather than collapsing all customers into a single average.
- How is this different from a typical Shopify analytics app?
- A typical analytics app reports on what happened. Ovrt's analytics share the same AI layer as store health monitoring and customer support, so the same context that shows you a problem can also flag it and respond to the customer behind it.
- Do I need to install tracking code or hire a data analyst?
- No. Ovrt connects to Shopify directly and reads your orders, catalog, and customer data, no tracking code to maintain and no analyst required to interpret it.
See your real numbers, not a dashboard guess.
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