Brickworks product template with AI-based similar recommendations
Create a Brickworks schema for a product template enriched with AI-driven similar item recommendations
Difficulty: Medium · Modules: Experience Hub, Data Modeling Hub
Channels
Industries
- Books
- Cosmetics
- Electronics
- Fashion & Apparel
- FMCG
- Home & Furniture
- Jewelry
- Retail
- Multi
Challenges addressed
- Engage new customers
- Increase loyalty
- Increase the revenue
Tags
Summary
This use case focuses on acquiring and onboarding new customers through targeted campaigns, welcome journeys, and first-purchase incentives powered by Synerise's platform capabilities. Specifically, "Brickworks product template with AI-based similar recommendations" enables your team to create a brickworks schema for a product template enriched with ai-driven similar item recommendations. This implementation balances ease of setup with meaningful business impact.
Example Scenario
A new visitor arrives at your website from a paid ad campaign. Synerise identifies them as a new visitor, displays a welcome pop-up with a first-purchase discount, and begins tracking their browsing behavior. If they register but don't purchase, an automated welcome series begins — with personalized product recommendations based on their browsing, progressive profiling to learn their preferences, and a time-limited offer to drive first conversion.
Business Challenge
- Engage new customers
- Increase loyalty
- Increase the revenue
Solution
Synerise enables new customer acquisition and onboarding through a combination of Dynamic Content for on-site engagement, Automation Flows for welcome journeys, and AI Recommendations for relevant product discovery. Anonymous visitor profiles are created on first interaction and seamlessly merged with registered profiles upon sign-up. The platform tracks the full acquisition funnel from first touch through first purchase.
This implementation leverages Synerise's Experience Hub for crafting personalized customer journeys, dynamic content, and interactive engagement experiences across all digital touchpoints and Data Modeling Hub for defining custom data structures, managing catalog data, and building complex data relationships. The solution delivers results through additional channels and custom integration endpoints.
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
- New customer acquisition rate
- First purchase conversion rate
- Welcome series engagement rate
- Time to first purchase
- Cost per acquired customer
Data Inputs
- other — additional channels and custom integration endpoints
- Experience Hub — Experience Hub for crafting personalized customer journeys, dynamic content, and interactive engagement experiences across all digital touchpoints
- Data Modeling Hub — Data Modeling Hub for defining custom data structures, managing catalog data, and building complex data relationships
Implementation Steps
- 1. Configure anonymous visitor tracking and profile creation
- 2. Design welcome pop-ups and registration incentives using Dynamic Content
- 3. Create a multi-step welcome automation flow with progressive profiling
- 4. Set up first-purchase recommendation models for new visitors
- 5. Implement identity merge logic for anonymous-to-registered profile linking
- 6. Track acquisition funnel metrics and optimize conversion points
Technology Explanation
Synerise's identity resolution system creates anonymous profiles on first interaction using device fingerprinting and cookie tracking. When a visitor registers, the anonymous profile is seamlessly merged with the new registered profile, preserving the full behavioral history. This enables personalized experiences from the very first visit.
Platform Components
- Experience Hub — Experience Hub for crafting personalized customer journeys, dynamic content, and interactive engagement experiences across all digital touchpoints
- Data Modeling Hub — Data Modeling Hub for defining custom data structures, managing catalog data, and building complex data relationships
Channels
- other — additional channels and custom integration endpoints
Target Industries
- Books
- Cosmetics
- Electronics
- Fashion & Apparel
- FMCG
- Home & Furniture
- Jewelry
- Retail
- Multi
Functionality Used
- New customers — acquiring and onboarding new customers through targeted campaigns, welcome journeys, and first-purchase incentives powered by Synerise's platform capabilities
Implementation Complexity
Medium — This use case requires moderate technical knowledge and some configuration effort.
Time to Value
2-4 weeks
Documentation
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