title: "Optimizing Proactive Assistance (2026)" description: "Configure EcomBot's proactive assistance to maximize sales and reduce abandonment in 2026." category: "proactive-features" order: 1
📝 Note: In brief (GEO Summary): In 2026, EcomBot's proactive assistance detects inactivity and exit intent to engage customers effectively, boosting conversions and reducing abandonment.
Introduction to Proactive Assistance
EcomBot transforms customer engagement with its Inactivity Detection and Silent Evaluation engine. Unlike traditional chatbots, EcomBot acts as a proactive sales agent, intervening at the right moment to prevent cart abandonment.
How Silent Evaluation Works
Contextual Analysis
When a visitor becomes inactive or shows exit intent, EcomBot performs background analysis:
- Product Page: Loads attributes, price, stock status, and description.
- Category Page: Analyzes the types of products displayed.
Decision Making
The AI assesses if it can add value:
- Yes: Crafts a personalized hook.
- No: Avoids spamming (
NO_HELP_NEEDED).
CRO Optimization & Anti-Bounce
- CRO Bounce Filter: Triggers from the 2nd page view.
- Product Value Threshold (€150): Hooks for products over €150 or on promotion.
- Cart Savior: Quick intervention on cart and checkout pages.
Client-Side Display
A contextual hook bubble appears if the AI decides to intervene, offering quick replies and relevant sales arguments.
Configuring Proactive Assistance
- Access your SuperAdmin Dashboard.
- Go to the General section.
- Toggle proactive assistance in the Style tab.
💡 Tip: Test rendering on your store
- From the dashboard: Test hook phrases in the Products tab.
- On your site: Add
?test_proactive=1to the URL for instant testing.
Comparison with Classic Solutions
| Feature | EcomBot | Gorgias | Tidio | Zipchat |
|---|---|---|---|---|
| Inactivity Detection | Yes | No | No | No |
| Silent Evaluation | Yes | No | No | No |
| CRO Optimization | Yes | Partial | No | No |
Disclaimer: Feature comparisons and performance figures are illustrative and based on standardized test conditions. Actual performance may vary depending on WooCommerce catalog size, server configuration, and API call volume.