> For the complete documentation index, see [llms.txt](https://order-editing.gitbook.io/oe-help-book/llms.txt). Markdown versions of documentation pages are available by appending `.md` to page URLs; this page is available as [Markdown](https://order-editing.gitbook.io/oe-help-book/analytics/use-analytics-to-optimise-your-store.md).

# Use Analytics to optimise your store

Order Editing tracks every customer interaction, every edit made, and every dollar earned through post-purchase engagement. This visibility allows you to continuously optimize your setup, maximize revenue, and deliver a better customer experience.

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### Two Analytics Dashboards

#### Self-Service Edit Analytics

Understand how customers interact with each editing feature. Which App Blocks drive engagement? Where do customers drop off? Which features generate value? See impressions, interactions, completions, and success rates for every feature—from Primary Upsell to Shipping Address changes to Discount Codes.

<a href="/pages/ph6XGluw6tqXzY1dA4gu" class="button primary">Explore App Block Analytics</a>

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#### Upsell Strategy Analytics

Measure revenue performance for each upselling approach. Track conversion rates, revenue generated, product performance, and trends for every strategy. Identify which products drive the most revenue and optimize underperforming strategies.

<a href="/pages/MiKZq8wsHQgF9VFQhibr" class="button primary">Explore Upsell Strategy Analytics</a>

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### Continuous Optimization

Successful merchants use analytics to refine their approach through a simple cycle: **measure** current performance, **identify** what works, **test** improvements, and **refine** based on results.

**Weekly:** Review engagement rates and investigate any drops—quick adjustments prevent revenue losses.

**Monthly:** Analyze which upsell strategies generate the most revenue and prioritize optimization efforts.

**Quarterly:** Examine long-term trends, disable underperforming features, and expand high-performing offerings.


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