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Query suggestions statistics

Query Suggestions Statistics give you complete insight into how users interact with AI-powered search suggestions. From tracking every autocomplete impression to analyzing click behavior in real time, you can now measure, optimize, and improve your AI Search performance—without any additional setup.

Documentation

Make every search smarter. Synerise now introduces Query suggestions statistics, giving you full visibility into how users interact with query suggestions in AI Search. From autocomplete to real-time completions, every suggestion your customers see—and click—is tracked, analyzed, and actionable.

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What’s New

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Suggestion Events
Now the every suggestion generated is automatically tracked and saved as event suggestion.search. Allowing to analyzed suggestion without custom events implementation. We have created also standarized suggestion.search.click that should be used when a user clicks on a suggestion.

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Dedicated Dashboard
Access full analytics directly from the Suggestions Index. No setup needed—visualize CTR, click position, and more instantly.

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Zero-Code Campaign Analysis
Evaluate your AI Search campaigns without additional implementation. All tracking is automatic, and dashboards are included.

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Key Metrics

CTR – Click-through rate on suggested phrases

Total – Helps you compare the KPI results against the overall outcomes generated by your search

No Results Rate – When searches yield no results or suggestions

Top Clicked Suggestions – Understand what resonates most with your users

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This feature transforms search from passive navigation into an active performance channel—giving you measurable insights into customer intent at scale.

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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.

Query suggestions statistics

Documentación

Descargar como PDF

Descargar como PPT

‍

What’s New

‍

Dedicated Dashboard
Access full analytics directly from the Suggestions Index. No setup needed—visualize CTR, click position, and more instantly.

‍

Zero-Code Campaign Analysis
Evaluate your AI Search campaigns without additional implementation. All tracking is automatic, and dashboards are included.

‍

Key Metrics

CTR – Click-through rate on suggested phrases

Total – Helps you compare the KPI results against the overall outcomes generated by your search

No Results Rate – When searches yield no results or suggestions

Top Clicked Suggestions – Understand what resonates most with your users

‍

This feature transforms search from passive navigation into an active performance channel—giving you measurable insights into customer intent at scale.

‍

Boletín sobre productos

Mantente al día de las últimas actualizaciones de los productos de Synerise, las nuevas funciones y la información práctica, directamente en tu bandeja de entrada. ¡Solo tienes que suscribirte a nuestro boletín semanal!

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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.

Optimización de AI Search

Usa los CTR, las posiciones de los clics y las consultas principales para ajustar las sugerencias y descubrir el comportamiento de los usuarios con alta intención

Visibilidad donde importa

Realiza un seguimiento de la interacción del usuario con sugerencias de consultas en tiempo real, sin puntos ciegos ni conjeturas

Zero configuración, información completa

Obtén acceso inmediato a los datos de rendimiento sin implementar nuevos eventos ni crear paneles

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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