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Proactive Engagement

[ Glossary ]

Proactive Engagement

Proactive engagement is when an AI stylist detects behavioral signals — time on page, scroll depth, cart activity, comparison behavior — and initiates a conversation with the shopper before the shopper asks for help.

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AI & agentic commerce

Most AI shopping tools are reactive: they wait for the shopper to open the chat and ask a question. Proactive engagement reverses this. The AI monitors what the shopper is doing — how long they've spent on a product page, whether they've compared items, whether they've added and removed something from the cart — and uses those signals to infer when a shopper needs help deciding. The key design principle is that proactive engagement should feel helpful, not intrusive. A shopper who has spent 47 seconds on a product page is deliberating. A well-timed, contextual message ("Still deciding? I can build you a complete look with this.") meets them at the moment their uncertainty is highest. A generic discount popup that fires on page load is not proactive engagement — it is interruption. Proactive engagement is distinct from exit-intent popups in three ways: it fires earlier (during deliberation, not on exit signal), it is contextual (the message reflects what the shopper is specifically doing), and it offers a genuine service (styling help) rather than a promotional mechanic (discount code).

Most AI shopping tools are reactive: they wait for the shopper to open the chat and ask a question. Proactive engagement reverses this. The AI monitors what the shopper is doing — how long they've spent on a product page, whether they've compared items, whether they've added and removed something from the cart — and uses those signals to infer when a shopper needs help deciding. The key design principle is that proactive engagement should feel helpful, not intrusive. A shopper who has spent 47 seconds on a product page is deliberating. A well-timed, contextual message ("Still deciding? I can build you a complete look with this.") meets them at the moment their uncertainty is highest. A generic discount popup that fires on page load is not proactive engagement — it is interruption. Proactive engagement is distinct from exit-intent popups in three ways: it fires earlier (during deliberation, not on exit signal), it is contextual (the message reflects what the shopper is specifically doing), and it offers a genuine service (styling help) rather than a promotional mechanic (discount code).

Why it matters

The window between "shopper is uncertain" and "shopper has left" is under 60 seconds. Most stores have no mechanism to engage during that window. Proactive engagement is the only tool that reaches this moment — and because it offers a real service rather than a discount, it converts without training shoppers to expect markdown.

How Elara uses it

See Elara's proactive engagement feature

See how Elara reaches hesitant shoppers before they leave.

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Related terms

Behavioral Trigger — A specific shopper action that signals hesitation and activates a proactive AI response. Agentic Commerce — Commerce experiences driven by AI agents that take autonomous action on behalf of shoppers or brands. Style Graph — A per-shopper taste model that learns from every interaction to produce increasingly personalized outfit recommendations.

Defined by

Mehul Agarwal, Founder & CEO

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