How a conversation can answer a shopper's last question, bring them back to their cart and find the add-on a discount never would.
Chris added Daily Blend Powder to his cart at Marlow & Moss and then stopped. Nothing was wrong with the price or the product. He simply was not sure about a few details.
Marlow & Moss is a fictional ecommerce supplements brand. Chris is a made-up shopper who left a $48 item in his cart.
A conventional recovery flow might send him a discount code. But what if a discount is not what he is waiting for?
This is a written example of how an Abandoned Cart Recovery conversation could unfold. It is simulated, not a live demonstration.
This thread has 12 messages, so it would use 12 credits. That is more than the roughly 5 credits per checkout the model assumes. This is a more detailed conversation than average, and customers who reply only once or twice pull the average down quite a bit.
Chris has not completed his purchase in this example. It shows a proposed customer experience, not a measured result.
Abandoned Cart Recovery used the item in his cart to start the conversation, answered two practical questions, sent him back to checkout, and then suggested something that fit what he was buying.
References the exact item left in the cart.
Responds to what the shopper actually asks, using the store's own product and policy information.
Sends the shopper straight back to the cart to finish.
Suggests a related product from the real catalog.
The example demonstrates a proposed customer experience, not proven conversion performance.
The conversation shows how a recovery starts. This model shows why it can matter commercially. Adjust the inputs to your own store.
Defaults are illustrative. Change any of them.
We reuse the assumptions from our Abandoned Cart Recovery calculator: about 80% of monthly orders is used as the number of recoverable checkouts, and each checkout uses about 5 credits. Credits are priced at $0.20 each, or at the lower bundle price when a bundle is cheaper. The first 1,500 trial credits are not subtracted. Add-on revenue is the recovered orders times the attach rate times the add-on value, and it is included in revenue and ROI. It does not change the credit estimate. Revenue is not profit: it does not subtract the cost of products, shipping, discounts or returns. Every message, sent or received, uses 1 credit. The example conversation above has 12 messages, so it would use 12 credits, longer than the roughly 5 the model assumes for a checkout.
| Incremental recovery | Recovered orders | Revenue | ROI |
|---|---|---|---|
| 5% | 100 | $5,080 | 154% |
| 10% | 200 | $10,160 | 408% |
| 12% | 240 | $12,192 | 510% |
| 15% | 300 | $15,240 | 662% |
Illustrative scenarios, not forecasts or actual SalesLead.ai results. Revenue is not profit. It excludes the cost of products, shipping, discounts and returns, and it is compared here only to the cost of messaging credits. ROI here means revenue minus messaging cost, divided by messaging cost. This model counts incremental recovered orders, meaning orders that would not have happened anyway, which is different from total purchases attributed to a campaign. Measuring true incrementality requires a comparison against a control group. The 10% default is the low end of the 10% to 15% range we have seen in our own testing.
Abandoned Cart Recovery runs alongside Customer Winback. One is for the shopper in front of you today, the other for the customer who went quiet months ago. See the Abandoned Cart Recovery page for the full picture.
Shoppers who get as far as a cart have already shown interest. Abandoned Cart Recovery helps answer the last question and bring them back to finish.