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Browse-abandonment repeat-view reminder

A shopper has opened the same product three times this week and still hasn't added it to a basket — the agent asks what's holding them back before they forget the item exists.

Get aheadBehavioral triggerPushChatIn-appE-commerce & Retail

What it does

Some of the strongest buying intent never reaches a cart. A shopper keeps returning to the same product page across sessions, reads it again, and leaves again, stuck on one unanswered question — is it true to size, is the price about to move, are the reviews good enough. Cart-recovery tooling never sees this shopper because no cart was ever created, so the intent simply decays. The agent watches for the repeated-view pattern itself, reaches out with a calm, specific nudge that names the likely blocker, and links straight back to the item — recovering the order with no cart event required.

How it works

  1. 1
    Trigger. a repeated-view signal fires when the same shopper opens one product three or more times across sessions without ever adding it to a basket.
  2. 2
    Decision. the agent reads what it remembers about the shopper — past purchases, the category, prior questions — infers the most likely blocker (fit, price, reviews, stock confidence), and checks consent and frequency caps; a judge gates the message before anything is sent.
  3. 3
    Action. a short reminder on the shopper's opted-in surface — a push, an in-app bubble, or the chat thread — that addresses the blocker and deep-links back to the exact product.
  4. 4
    Follow-through. if the shopper buys, or the price or stock changes enough to belong to a different alert, this reminder is cancelled before it sends; engagement and resulting orders are measured against a holdout, and the client keeps owning the send channels.
Example
AgentYou've looked at the merino base layer a few times — happy to help. The most common question on it is sizing: it runs slim, so most people size up one. Want me to take you back to it in your size?
CustomerYeah, will it actually keep me warm hiking in autumn?
AgentIt's rated for cool-weather layering and reviewers wear it down to about 5°C with a shell over it. Here's the page in your size if you'd like to take another look.

Configuration

How the agent is wired for this use case.

Triggera product_view_repeated behavioral signal from the storefront analytics layer (same shopper, same SKU, three or more views across sessions, no add-to-cart).
Tools & actions
  • Storefront analytics · read the per-shopper view-count and session history that fire the signal
  • Product catalog · pull live price, stock, sizing and review summary for the watched item
  • Customer memory store · read prior purchases and past questions to infer the blocker
  • Messaging channel · send the reminder via push, in-app bubble, or chat, with a deep link to the product
  • Holdout ledger · log the shopper into test or control and record any resulting order
Autonomyruns unattended; every message is judge-gated for quality and frequency before send, and is suppressed automatically when the shopper converts or the item moves to a different alert family. No discount is offered without explicit merchant policy.
Channelspush · chat · in-app
Escalationif the shopper replies with a complaint, a returns or service issue, or anything beyond the product question, the thread hands off to a human or the relevant care flow.

What you need

The inputs this use case runs on. Your channels stay yours; the agent supplies the judgment.

Signals

repeated product-view events (count and recency per shopper per SKU), order_completed for stale-send cancellation, price/stock-change events to deduplicate against other alerts

Data

product attributes (sizing, reviews, price, stock), browsing and purchase history, customer memory, per-channel consent state

Guardrails

explicit consent and tight frequency caps so a reminder never feels like surveillance; judge gating on every unprompted message; automatic cancellation on conversion or alert overlap; discounts only under merchant policy, never the default opener

Metrics it moves

  • conversion-rateup: high-intent shoppers who never created a cart get their blocker answered instead of quietly churning
  • recovered-revenueup and provable: orders that follow the nudge are attributed against a holdout
  • click-through-rateup: a reminder that names the real question earns the return click that a generic "you left something behind" never does

Related use cases

Convert

Cart-abandonment recovery outreach

the downstream sibling, once a cart actually exists

Convert

In-session hesitation rescue

catches the same doubt live, during the visit

Convert

Back-in-stock ping with cross-sell

another parked-intent trigger on a watched item

See it on your own customer journey

Bring one drop-off, one churn cliff, or one silent segment. We will show you what a proactive agent with memory and judgment does with it.

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