Strategies

Trusted by 40,000+ brands

RULES TO REVENUE

How Strategies Work

01

Define the context

Choose the shopper, product, cart, location, campaign, or timing signals that should trigger your rule.

02

Choose what to recommend

Return individual products, collections, products sharing specific attributes, popular products, recent purchases, or AI-generated recommendations.

03

Set your priorities and fallbacks

Arrange rules in the order they should be evaluated. Add exclusions and a catch-all rule to prevent empty recommendation slots.

04

Connect it to your store

Attach the Strategy to an Aftersell offer or use the Strategies API to power a custom storefront experience. Aftersell evaluates the context and returns the products that should appear.

Smarter Merchandising

Decide Your Own Logic

You decide what should be recommended. Strategies determines when and where to show it. Create a reusable set of merchandising rules. Aftersell evaluates each shopper’s real-time context, determines which rules apply, and returns the right products.

Catalog Control

Complex Catalogs Become Precise Pairings

Get exact control over which products appear, when they appear, and what they appear alongside. Build different routines, sets, and product combinations around collections, tags, metafields, customer data, and more.

BUILD ONCE

Your Best Merchandising Logic Everywhere

Build your strategy once, then use it as the product source for multiple touchpoints across your store.

Product pages
The shopping cart
Checkout
Post-purchase offers
Thank-you pages
Custom storefront experiences

EASY FALLBACKS

Never Lose an Offer

Create a prioritized hierarchy of rules, then add a catch-all fallback. When the first recommendation can’t be shown, Strategies automatically moves to the next eligible option. If no rules match, your fallback can return a proven bestseller, collection, or AI recommendation.

TEST AND OPTIMIZE

Always Use The Best Product Logic

Compare Strategy-driven offers inside Aftersell’s A/B and multivariate testing tools to learn which product pairings, recommendation rules, and fallback structures generate the strongest results.

FLEXIBLE TRIGGERS

Build Rules Around Signals That Matter

Rules can be dynamically customized to execute specific actions based on a wide range of product or shopper criteria:

Products, collections, or tags currently in the shopper's cart.

The specific product page the shopper is actively browsing.

Customer identity tags, like VIP.

Cart subtotal thresholds.

Predictable URL parameters, such as tracking specific UTM sources.

Location data, shipping country, or time of day.

True Classic reduced its offer no-show rate from 15% to 2% with Aftersell Strategies.

True Classic’s hard-coded product rules caused offers to disappear when products conflicted with exclusions. With Aftersell Strategies, the team added smarter fallback paths that preserved its merchandising rules while keeping relevant offers in front of more shoppers.