What's New

Turn key product moments into personalized WhatsApp messages with Merchandising Events by automatically notifying users when products experience a Price Drop, Back in Stock, Stock Running Out, or New Arrival event using existing merchandising and catalog data.

What’s New

• Four Merchandising Triggers: Support for Price Drop, Back in Stock, Stock Running Out, and New Arrival.

• Product Personalization: Use product attributes such as title, price, discount, availability, and quantity changes across the message and CTA.

• Automatic Product Selection: The latest qualifying product is selected when the trigger fires and its data is captured for the message.

• Existing Setup: Reuses the existing Merchandising Trigger engine and Product Catalog Integration with no additional merchandising configuration.

Important to Know

• Supported only on Rich Media Dynamic templates and Journeys.

• Only one product is sent per message. Ranking and multi-product rendering are not supported.

• Product data is captured at trigger time and is not re-evaluated before delivery.

Turn price drops, restocks, and new arrivals into timely WhatsApp conversations without building manual campaigns.

Refer here for the documentation.

Bring merchandising-driven product alerts to App Push with Merchandising Event in Product Set. Automatically surface products triggered by Price Drop, Back in Stock, Stock Running Out, and New Arrival events using the existing Merchandising Trigger and Product Catalog setup.

What’s New

• Four Trigger Types: Support for Price Drop, Back in Stock, Stock Running Out, and New Arrival.

• Automatic Product Selection: Render up to 5 qualifying products in a notification.

• Personalized Product Content: Use product attributes such as price, discount, availability, and quantity changes.

• Existing Setup: Reuses the existing Merchandising Trigger and Product Catalog Integration with no additional configuration.

Important to Know

1. A Merchandising Trigger must be configured, and Product Catalog Integration sync must be active.

2. Products are captured at trigger time and are not re-evaluated before delivery.

3. A product must have an Image URL to render.

4. Product order is determined by the Merchandising Engine and is not changed by App Push.

Turn price drops, restocks, and new arrivals into timely App Push notifications without rebuilding campaigns.

Refer to the documentation here.

Trends now gives marketers more control over audience analysis, performance comparison, and trend exploration, making it easier to spot changes and uncover the dimensions driving performance.

What’s New

• Compare to Past: Overlay previous-period trends and compare performance across the previous day, week, month, quarter, half year, or a custom date range. Percent changes automatically follow the selected granularity.

• Advanced Audience Selection: Include or exclude up to 5 lists or segments in the main filter. Multiple selections are combined into a single audience for analysis.

• Compare Audiences: Compare up to 2 additional audiences alongside the base audience, with up to 3 series displayed together across charts and tables.

• See Deeper Trends with Multi-Property Splits: Get a more complete view of trend performance by breaking down data across four properties at once. Select up to two properties in Split By and use two-property drill-downs to uncover patterns across combined dimensions.

• Better E-commerce Insights: For example, split Product Views by Device Type and Product Category to compare combinations such as Mobile | Electronics and Web | Fashion.

• Richer Analysis: Audience context now applies across charts, tables, split by, and drill-down views for all supported Measure By options.

• Clearer Trend Views: Trend series use visually distinct colours, while Total Events per User now displays values to 2 decimal places.

• Independent Event Splits: In multi-event trends, selected properties continue to apply independently to each event.

• Existing Views Stay Intact: Saved trends and dashboards using a single-property split continue to work as before.

Together, these updates make it easier to compare audiences, spot changes over time, and uncover the dimensions behind performance—turning Trends into a more actionable tool for everyday analysis.
Refer here for the documentation.