First steps
Courses
User Data
- Responsive Email Editor Review
- Designing your email
- Creating Synchronized Modules
- Setting Up Responsive Email Design
- Setting Up Smart Containers
- Creating a Gmail Promotions Annotation
- Adding The Rollover Effect
- Adding Anchor Links
- Module Library
- Adding a Table to an Email
- Adding Custom Fonts
- Creating CTA Button
- Working with Images
- Creating Timer
- Using AI in the Email Editor
Omnichannel
- Setting Up Widgets for Your Site
- Widget Calling
- Setting Up Locations for the Widget Calling Rules
- Storing data from widgets to contact fields
- Using Annoyance Safeguard
- Actions After Form Submission
- Replacing Double Opt-In System Workflow
- Using Yespo Extension for Google Chrome
- Creating Pop-ups via Google Tag Manager or WordPress
- Sending Yespo Widget Events to Google Analytics
- Using A/B Tests for Widgets
Automation
- Building and Editing Workflows
- Configuring Workflow Start/Stop Conditions
- Start Block
- Popular Blocks
- Message Blocks
- Contact Blocks
- Conditions Blocks
- Other Blocks
- Message to Segment Blocks
- Time Blocks
- Setting Up Allowed Send Time
- Using Workflow Launch History
- Webhook Workflows
- Workflow Troubleshooting
- Double Opt-In
- Welcome Сampaign
- Welcome Series Segmented by Category
- Launching a Workflow After a Contact Import
- Regular Workflow for a Segment
- Birthday Campaign
- Linking Workflow to the Button
- Using Variables from Order in Workflow
- Collecting Order Feedback
- Customer Reactivation
- Sending Extra Campaigns
- Sending Campaign to Those Who Did Not Open the Previous One
Personalization
Analytics
- Email Campaign Report
- Web Push Campaign Report
- Viber Campaign Report
- Mobile Push Campaign Report
- App Inbox Campaign Report
- In-App Report
- Widget Report
- Triggered Campaign Report
- AMP Campaign Report
- SMS Campaign Report
- Multilingual Campaign Report
- Setting up UTM Tags
- Revenue from Campaigns
- Tracking Campaign Performance in Google Analytics 4
- Message Analytics
Multilanguage Campaigns
Events and Behaviour Tracking
Recommendations
API
Security and Compliance
Integration
Setting Up Product Recommendations
Product recommendations increase the effectiveness of advertising communications. The system automatically selects relevant products for each situation and specific buyer according to established rules. Artificial intelligence algorithms will find products that your customers are most likely to want to buy.
To display recommended products, you can use the following:
Before you start setting up recommendations:
- Install a web tracking script or set up tracking for mobile apps to collect users’ online behavior data.
- Upload a product feed to provide data about your product range.
- Create a data source for recommendations: set filtering rules for different site pages, app and media channels.
- Configure additional recommendation filtering rules: choose product parameters to be shown to specific categories of contacts (optional).
In this section you will also find general instructions for working with recommendations:
Note
If you encounter difficulties at any of the configuration steps, please contact our support at support@yespo.io
