Connect Sift Lab and Triggerbee

Sift Lab offers predictive analytics dashboards and omni-channel recommendations, making it easy for eCommerce businesses to gather, analyze and act on their data.
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Sift Lab + Triggerbee: Personal Product Recommendations in Your Website Campaigns

Most product recommendations on ecommerce sites show the same bestsellers to everyone. A returning customer who buys running gear sees the same products as a first-time visitor looking for a winter jacket.

The Triggerbee integration with Sift Lab changes what each visitor sees. Sift Lab works out which products fit each visitor. Triggerbee shows those products in your campaigns, as an overlay or embedded on the page. You design the campaign once, and Sift Lab fills it with different products depending on who is visiting.

Setup takes a few minutes once your Sift Lab account is ready: enter the API key from your Sift Lab contact, choose your database, and the Sift Lab component appears in the campaign editor.

Key problems solved

  • The same products for every visitor: Show recommendations based on who is visiting, not a static bestseller list.
  • Recommendations stuck in fixed page slots: Add them to any Triggerbee campaign, as an overlay or embedded anywhere on your site.
  • Developer time for every new placement: Build and design recommendation campaigns yourself in the Triggerbee editor.
  • Empty spaces for unknown visitors: Show a broader recommendation profile to visitors who aren’t identified, or hide the campaign.

Features

Sift Lab component in the campaign editor

  • Add the Sift Lab component to any campaign
  • Choose which Sift Lab recommendation profile the campaign shows
  • Set how many products to display

What you get: Recommendation campaigns built by your marketing team, without waiting for a developer.

Design once, apply to every product

  • Design a single product card with sizes, margins and colors that match your brand
  • Pull in the image, name and URL using attributes from Sift Lab
  • Preview the campaign with real products before you publish

What you get: Recommendations that look like part of your website, with no manual product setup.

Fallback for unknown visitors

  • Choose what happens when a visitor isn’t identified
  • Show a broader recommendation profile in embedded campaigns
  • Hide overlays so unknown visitors don’t see irrelevant products

What you get: Every visitor sees something relevant, and no space on your site goes unused.

Use cases

  • Recommended for you: Show returning customers products picked for them on the start page.
  • Complete the look: Add “Match this product with” recommendations on product pages to raise order value.
  • Others also bought: Show what similar customers bought in the cart, before the visitor checks out.
  • Popular in your area: Show products that sell well near the visitor.