Integration with Storyly

Enrich Storyly stories with personalized content sourced from Synerise

Difficulty: Medium · Modules: Decision Hub, Data Modeling Hub

Channels

mobile application
third-party

Industries

Automotive
Books
Cosmetics
Electronics
Fashion & Apparel
Finance
FMCG
Home & Furniture
Jewelry
Media
Multi
Retail
Telco
Travel

Challenges addressed

Increase loyalty
Increase the revenue
Manage data
Personalize communication
Prepare analysis
Third-party integration

Summary

This use case focuses on delivering individualized experiences across channels by adapting content, offers, and messaging to each customer's unique profile, preferences, and real-time behavior. Specifically, "Integration with Storyly" enables your team to enrich storyly stories with personalized content sourced from synerise. This implementation balances ease of setup with meaningful business impact.

Example Scenario

A returning visitor lands on your website and sees a completely tailored experience — the hero banner shows products from their preferred category, the promotional offers reflect their loyalty tier, and the email they received earlier that day matches the on-site messaging. Every touchpoint is coordinated to feel personal, creating a cohesive customer journey.

Business Challenge

Increase loyalty
Increase the revenue
Manage data
Personalize communication
Prepare analysis
Third-party integration

Solution

Synerise achieves deep personalization through its unified customer profile (BaseModel), which aggregates data from all touchpoints into a single 360-degree view. Expressions and Segmentation Engines compute real-time customer attributes (e.g., preferred category, price sensitivity, lifecycle stage). Dynamic Content renders personalized web and mobile experiences, while Automation Flows coordinate cross-channel messaging with personalized variables.

This implementation leverages Synerise's Decision Hub for data-driven business decisions, analytics dashboards, and real-time performance monitoring and Data Modeling Hub for defining custom data structures, managing catalog data, and building complex data relationships. The solution delivers results through mobile app experiences including in-app messaging, push notifications, and native UI personalization and third-party platform integrations and external system connections.

Expected Impact

Implementing this use case delivers measurable improvements across multiple business dimensions. Organizations typically see results within the first 2-4 weeks of deployment, with compound gains as the system learns from additional data. The medium-level implementation complexity means a balanced investment of time and effort yields strong returns.

Key KPIs

Personalization engagement rate
Revenue per personalized session
Click-through rate on personalized content
Customer satisfaction score improvement
Repeat purchase rate

Data Inputs

mobile application — mobile app experiences including in-app messaging, push notifications, and native UI personalization
third-party — third-party platform integrations and external system connections
Decision Hub — Decision Hub for data-driven business decisions, analytics dashboards, and real-time performance monitoring
Data Modeling Hub — Data Modeling Hub for defining custom data structures, managing catalog data, and building complex data relationships

Implementation Steps

1. Unify customer data sources into BaseModel profiles with consistent identity resolution
2. Define customer attributes and expressions for segmentation (lifecycle stage, affinity scores, RFM)
3. Create Dynamic Content templates with conditional logic based on customer segments
4. Configure Automation Flows for cross-channel personalized messaging
5. Set up A/B tests to measure personalization impact vs. generic experiences
6. Iterate on personalization rules based on performance analytics

Technology Explanation

Synerise's personalization stack is built on BaseModel — the real-time customer data platform that processes events with sub-second latency. Expressions allow marketers to define computed customer attributes without engineering support, while the Segmentation Engine handles both batch and streaming segment evaluation. Dynamic Content supports server-side and client-side rendering with full personalization context.

Platform Components

Decision Hub — Decision Hub for data-driven business decisions, analytics dashboards, and real-time performance monitoring
Data Modeling Hub — Data Modeling Hub for defining custom data structures, managing catalog data, and building complex data relationships

Channels

mobile application — mobile app experiences including in-app messaging, push notifications, and native UI personalization
third-party — third-party platform integrations and external system connections

Target Industries

Automotive
Books
Cosmetics
Electronics
Fashion & Apparel
Finance
FMCG
Home & Furniture
Jewelry
Media
Multi
Retail
Telco
Travel

Functionality Used

Expressions
Mobile
Personalization — delivering individualized experiences across channels by adapting content, offers, and messaging to each customer's unique profile, preferences, and real-time behavior
Third-party integration — connecting Synerise with external systems and third-party platforms through webhooks, API integrations, and data connectors to extend platform capabilities
Aggregates

Implementation Complexity

Medium — This use case requires moderate technical knowledge and some configuration effort.

Time to Value

2-4 weeks

Documentation

https://help.synerise.com/docs/use-cases/storyly-integration/

Related use cases

Cross-sell recommendations with category tabs based on last purchased product — Display cross-sell recommendations grouped into category tabs based on the customer's most recently purchased product
Saving and recovering product configuration — Help customers return to unfinished product configurations and complete their purchase
Dynamic Content Scratch Card — Engage visitors with an interactive dynamic content scratch card offering a discount on selected product categories
Brickworks product template with AI-based similar recommendations — Create a Brickworks schema for a product template enriched with AI-driven similar item recommendations
Brickworks loyalty template with tiered offer — Create a Brickworks schema for an email template with tiered offer based on an expression
Displaying a set of promotion banners powered by a Brickworks schema — A Brickworks-powered schema that returns multiple promotion banners in JSON, enabling client applications to freely design carousels or lists