Recommend Products with AI

Tango.ad uses AI-powered visitor insights to help you recommend relevant products to each visitor. By analyzing browsing behavior, interests, and engagement, AI can help create personalized product recommendations that improve the shopping experience and support higher conversion rates.

This guide explains how to create a campaign that uses AI-driven product recommendations.

Why Use AI Product Recommendations?

AI-powered recommendations can help you:

Increase product discovery.
Improve conversion rates.
Boost average order value.
Encourage repeat purchases.
Deliver a more personalized shopping experience.

Unlike generic promotions, AI recommendations can be tailored to each visitor's interests and browsing behavior.

Before You Begin

Make sure you have:

Tango.ad installed on your website.
Product data available for AI recommendations.
AI visitor insights configured, if required.
Products or collections you want to promote.

For more information about Tango.ad's AI capabilities, see AI Dashboards Overview.

Step 1: Create a New Campaign

Open Campaigns.
Click Create Campaign.
Select a suitable campaign type or create a blank campaign.
Enter a descriptive campaign name.

You can also create the campaign using Create a Campaign with AI or Create a Campaign Manually.

Use the Design Editor to build your campaign.

A typical recommendation popup can include:

Headline
Short description
Product image(s)
Product title
Price, if applicable
Call-to-action button
Close button

Example:

Recommended Just for You

Based on your recent browsing, we think you'll love these products.

You can use Working with Content Blocks to add and arrange the elements in your popup.

Step 3: Configure AI-Based Recommendations

Configure the campaign to use Tango.ad's AI-powered visitor insights.

AI can use signals such as:

Browsing history
Recently viewed products
Product categories
Brand preferences
Visitor interests
Shopping behavior
Engagement

Tango.ad's AI dashboards provide tools for configuring visitor scoring, traits, and other AI-related settings. See AI Dashboards: Scoring Models and AI Dashboards: Traits Mapping for more information.

Step 4: Configure Audience Targeting

Choose the visitors who should receive the recommendation campaign.

Examples include:

Returning visitors
Visitors browsing specific categories
Visitors interested in certain brands
Visitors viewing related products
Visitors with higher engagement or intent scores

You can use Triggers and Conditions and Actions to control when and for whom the campaign is displayed.

Step 5: Configure Display Rules

Choose when the recommendations should appear.

Common triggers include:

After viewing a product page
After spending time on a product
After scrolling a percentage of the page
Exit intent
After adding an item to the cart

Use Building Workflows to combine triggers, conditions, and actions into a more advanced visitor journey.

Displaying recommendations at the right time can help keep visitors engaged without interrupting their browsing experience.

Step 6: Review and Publish

Before publishing:

Verify that product recommendations display correctly.
Check images and product information.
Test the campaign on desktop and mobile devices.
Preview the campaign.
Save and publish the campaign.
Activate the campaign.

See Saving and Publishing a Campaign for more information.

Best Practices

For the best results:

Use high-quality product images.
Keep messaging concise.
Display products that are relevant to the visitor's browsing behavior.
Limit the number of recommendations to avoid overwhelming visitors.
Combine AI recommendations with personalized offers when appropriate.
Review campaign performance regularly and optimize based on the results.

You can also combine product recommendations with promotional campaigns using Promote Products & Special Offers.

Monitor Performance

Track your campaign's effectiveness using Analytics Overview.

Key metrics include:

Metric	Description
Reach	Number of visitors who viewed the recommendations.
Clicks	Number of clicks on recommended products.
Conversions	Number of successful actions attributed to the campaign.
Conversion Rate	Percentage of visitors who completed the desired action.
Revenue	Revenue attributed to the campaign, when available.

Review these metrics to understand how your recommendation campaigns are performing and identify opportunities for optimization.

Optimization Tips

Improve your AI recommendation campaigns by:

Testing different headlines and CTA buttons.
Refining audience targeting.
Reviewing visitor segments and AI-based insights.
Updating recommended products for seasonal campaigns.
Monitoring analytics to identify high-performing recommendations.
Combining AI recommendations with discounts or limited-time offers when appropriate.