Pricing

Search Explain

Whether you're fine-tuning a search index or optimizing personalized listings, testing and transparency are critical. With the Search Explain feature, you gain full visibility into how and why results are generated - before pushing changes to production.

Documentation

Gainfull visibility into how your search results are generated with our SearchExplain feature. From query input to final product ranking, this tool revealsevery step of the decision-making process—helping you better understand,optimize, and troubleshoot search performance

How it works

Search Explain provides a detailed breakdown across three levels:

1. Query Details

Understand how your search input is interpreted and transformed:

Query Transformations: See how inputs are modified (e.g., “adidaz” → “adidas”)
Rules Applied: View which query rules (like typo corrections, synonyms, or boosts) were triggered
Synonyms Used: Discover the synonym mappings that influenced your results

2. Ranking Overview

Get a clear view of how your results are ranked

Sorting Logic: Learn whether results were ordered by relevance, popularity, or other custom rules
Boosted & Hidden Items: Identify promoted or demoted results
Filters & Attributes: See what filters and attribute-based boosts affected ranking

3. Item-Level Insights

Dive deep into how each product earned its place:

Score Breakdown: Understand the individual score of each product
Relevance Factors: Analyze how text match, metadata, and attributes affected ranking
Popularity & Personalization: See how engagement signals and user-specific data influenced result order

You can access all of this directly within the Synerise Search preview panel. Those details extend the search preview with transparent insights into the generation of search results.

Use Cases

We’ve expanded our use case catalog with new, real-world scenarios! 🚀 Built on insights from our customers and powered by the latest features in our platform, these use cases are designed to help you unlock even more value.

In-app QR Code Scanner

This use case demonstrates how to create an interactive in-app campaign featuring a built-in QR scanner that redirects customers to a personalized landing page with AI-driven recommendations. Using a predefined template, the setup process is quick and does not require building the scanner interface from scratch.

In-app Stories with dynamic resize and brand showcase

In this use case, you’ll build a two-stage in-app campaign for a specific brand. At first, users see a compact banner (“top” bar) with a teaser message such as “Discover Brand X”. After tapping the banner, the in-app message resizes to a full-screen story view, presenting brand details and AI-based recommendations of its bestsellers.

In-app personalized recommendations with dynamic resize

You can display a personalized top (or bottom) bar that appears only for this specific audience. The bar acts as a shortcut to AI-based personalized recommendations from a category that the user viewed before, and allows them to explore those items on a personalized in-app.

In-app Memo Game

In this use case, you’ll create an in-app memo game (3x3 grid) where the tiles feature images of your most viewed products from the last 30 days. This approach blends entertainment with commerce — users play to match pairs while naturally discovering your bestsellers.

Personalized promotion for digital signage

In this use case we are reffering to the Interactive digital signage. This technology relates to a dynamic and engaging communication tool that combines digital displays with interactive technology to deliver information, advertisements, or content to an audience.

Personalized promotion in the mobile app with display time limitation

This use case describes the scenario where AI Engine selects a personalized promotion for each app user. The campaign is based on the following assumptions: the promotion is chosen from the breakfast menu, and it is visible on the app for three hours, and will be available for use for one hour once activated.

Personalized checkout promotions based on category slots in offline stores

The set contains slots of customer-dedicated promotions from specific categories. Promotions will work for 24 hours from the date of assigning and can be printed together with the receipt after the transaction. Personalization of promotions on check out can work for both recognized customers, for example paying with card, or those paying with cash.

Personalized in-app promotions triggered by a store visit

In this use case, personalized promotions are sent directly to a customer’s mobile application when a store visit trigger is detected. Using AI models based on past purchases and visit history, the system selects three tailored promotions for each user, ensuring high relevance and impact. Customers receive these offers immediately upon entering the store, making them timely and actionable.

Similar vs cross-sell recommendations with Variant optimizer

Assign dynamic content with Variant optimizer

Export Customer Profiles with Marketing Consent to Google Cloud Storage

In this use case, we will send a customer database with a marketing communications agreement to Google Cloud Storage.

Transform and import product data to a catalog

In this use case, we will focus on the process of importing and transforming product data from an .XML file using data transformation.

Cleaning and Transforming Data for Optimal Business Performance

This use case describes the process of transformation of a CSV file with electronic card transactions.

Discover more insightful use cases!

Explore how businesses across industries leverage our solutions to drive efficiency, innovation, and growth. Discover real-world examples and see how you can apply these strategies to your own challenges. Check out our full library of use cases here and unlock new possibilities for your organization!

In-app Stories with Personalized Product Recommendations

In this use case, you’ll discover how to create an interactive in-app story promoting a running challenge and a specific brand of running shoes.

Export customer's predicted LTV and loyalty status to Google Cloud Storage

This use case leverages the built-in Google Cloud Storage integration in the Automation module to export lifetime value predictions and customer loyalty status.

Export multiple metrics with dynamic key

This use case demonstrates how to export six metrics - to Amazon S3, enabling streamlined reporting on sales volume and product counts for the previous week.

First-Time Visitor Voucher Campaign Optimization

In this use case, we will describe a voucher campaign targeted at new users who have never made a transaction.

Rotating dynamic content banners with controlled display frequency

In this use case we will describe an example campaign consisting of four dynamic content campaigns that rotate dynamically within an upper-page banner.

Personalized landing page with brand-focused product recommendations

This use case demonstrates how a dynamically personalized product listing can be integrated into a landing page.

Landing page with personalized promotions shared via SMS channel

This use case illustrates how personalized promotional offers can be curated and presented on a landing page that is customized for each user.

Abandoned cart landing page with similar recommendations

This use case demonstrates how to integrate a dynamic product listing into a dedicated landing page and send a mobile communication redirection to it.

Search Explain

Documentación

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How it works

Search Explain provides a detailed breakdown across three levels:

1. Query Details

Understand how your search input is interpreted and transformed:

Query Transformations: See how inputs are modified (e.g., “adidaz” → “adidas”)
Rules Applied: View which query rules (like typo corrections, synonyms, or boosts) were triggered
Synonyms Used: Discover the synonym mappings that influenced your results

2. Ranking Overview

Get a clear view of how your results are ranked

Sorting Logic: Learn whether results were ordered by relevance, popularity, or other custom rules
Boosted & Hidden Items: Identify promoted or demoted results
Filters & Attributes: See what filters and attribute-based boosts affected ranking

3. Item-Level Insights

Dive deep into how each product earned its place:

Score Breakdown: Understand the individual score of each product
Relevance Factors: Analyze how text match, metadata, and attributes affected ranking
Popularity & Personalization: See how engagement signals and user-specific data influenced result order

You can access all of this directly within the Synerise Search preview panel. Those details extend the search preview with transparent insights into the generation of search results.

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Ventajas principales

Explora las ventajas principales de esta función y descubre el valor que aporta a tu trabajo diario con Synerise.

Mayor confianza y transparencia

Comprende claramente por qué aparecen ciertos resultados

Optimización mejorada

Identifica cómo funcionan tus reglas, filtros y potenciadores, y ajústalos para mejorar el rendimiento.

Depuración más inteligente

Identifica rápidamente errores en la clasificación, relevancia o personalización y corrígelos al instante.

Use Cases

Explore real-life use cases that demonstrate how to apply this feature in practice through inspiring, ready-to-use scenarios that solve real challenges.

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