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

other

Industries

Books
Cosmetics
Electronics
Fashion & Apparel
FMCG
Home & Furniture
Jewelry
Retail
Multi

Challenges addressed

Engage new customers
Increase loyalty
Increase the revenue

Resumen

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.

Escenario de Ejemplo

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.

Desafío Empresarial

Engage new customers
Increase loyalty
Increase the revenue

Solución

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.

Impacto Esperado

Implementing this use case delivers measurable improvements across multiple business dimensions. Organizations typically see results within the first 2-4 semanas 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.

KPIs Clave

New customer acquisition rate
First purchase conversion rate
Welcome series engagement rate
Time to first purchase
Cost per acquired customer

Entradas de Datos

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

Pasos de Implementación

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

Explicación de la Tecnología

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.

Componentes de la Plataforma

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

Canales

other — additional channels and custom integration endpoints

Industrias Objetivo

Books
Cosmetics
Electronics
Fashion & Apparel
FMCG
Home & Furniture
Jewelry
Retail
Multi

Funcionalidad Utilizada

New customers — acquiring and onboarding new customers through targeted campaigns, welcome journeys, and first-purchase incentives powered by Synerise's platform capabilities

Complejidad de Implementación

Medium — Este caso de uso requiere conocimientos técnicos moderados y cierto esfuerzo de configuración.

Tiempo hasta el Valor

2-4 semanas

Documentation

https://help.synerise.com/docs/use-cases/brickworks-inapp-similar/

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