First steps
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
- Messenger Protocol Support in Email Clients and Platforms
Omnichannel
- Setting Up Widgets for Your Site
- Widgets Gamification
- Widget Calling
- Setting Up Locations for the Widget Calling Rules
- Storing data from widgets to contact fields
- Using Annoyance Safeguard
- Actions After Subscription
- Replacing Double Opt-In System Workflow
- Creating Pop-ups via Google Tag Manager or WordPress
- Sending Yespo Widget Events to Google Analytics
- Using A/B Tests for Widgets
- Collecting Contact Information Using Request Forms
Automation
- Building and Editing Workflows
- Configuring Workflow Start/Stop Conditions
- Start Block
- Popular Blocks
- Message Blocks
- Using One from Many Message Block
- Contact Blocks
- Conditions Blocks
- Other Blocks
- Message to Segment Blocks
- Time Blocks
- Advanced Workflow Block Parameters
- 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 Reminders at the Time Specified by the User
- Sending Campaign to Those Who Did Not Open the Previous One
- Using A/B Tests In Workflows
Personalization
Analytics
- Email Campaign Report
- Web Push Campaign Report
- Viber Campaign Report
- Mobile Push Campaign Report
- App Inbox Campaign Report
- Telegram 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
Exchanging Data With Google BigQuery
Integrating Yespo with Google BigQuery opens up a world of data-driven possibilities for e-commerce marketers. By seamlessly exporting data from Yespo to BigQuery and importing valuable insights back into Yespo, brands can significantly improve campaign precision and personalization. This integration empowers businesses to harness advanced analytics, refine audience targeting, and personalize messaging to maximize engagement and conversions.
Exporting Data to BigQuery
Exporting data from Yespo to BigQuery unlocks powerful analytics and insights to guide strategic decisions. With BigQuery’s processing capabilities, brands can:
- Assess campaign performance with detailed metrics,
- Optimize multi-channel attribution,
- Enhance segmentation and behavioral targeting.
These data-driven insights help brands understand customer journeys, ROI, and retention trends, providing the knowledge needed to optimize content, offers, and targeting for improved engagement and higher revenue.
Importing Data from BigQuery
With data aggregated in BigQuery, you can create hyper-targeted campaigns in Yespo that feel uniquely relevant to each customer. By drawing on specific data points — such as engagement levels, past purchases, or browsing history — you can craft messages that resonate. For example, a campaign could congratulate a loyal customer on their fifth order, suggest products based on browsing habits, or offer discounts tailored to previous purchases. With BigQuery data imported back to Yespo, personalized campaigns reach new heights, fostering loyalty and increasing conversions.
Setting Up Your Yespo and BigQuery Integration
1. Link Your Yespo Account with Google BigQuery
Begin by connecting Yespo to BigQuery. This enables secure, seamless data flow between platforms, allowing exports and imports. See the integration guide for a detailed walkthrough.
2. Set Up Data Export from Yespo to BigQuery
Configure your Yespo data export to BigQuery tables. This setup will allow Yespo to automatically send valuable datasets, like broadcast metrics, user activity, order details, and revenue data, directly to BigQuery, where you can perform in-depth analysis and reporting. See detailed instructions on setting up exports here.
3. Configure Data Import from BigQuery to Yespo
With your data now in BigQuery, you can set up imports to bring this data back into Yespo. Use data stored in BigQuery as a resource for building powerful audience segments or creating personalized messaging strategies based on user-specific behaviors and characteristics. Follow the data import setup guide here.