Search by Algolia
How to increase your ecommerce conversion rate in 2024
e-commerce

How to increase your ecommerce conversion rate in 2024

2%. That’s the average conversion rate for an online store. Unless you’re performing at Amazon’s promoted products ...

Vincent Caruana

Senior Digital Marketing Manager, SEO

How does a vector database work? A quick tutorial
ai

How does a vector database work? A quick tutorial

What’s a vector database? And how different is it than a regular-old traditional relational database? If you’re ...

Catherine Dee

Search and Discovery writer

Removing outliers for A/B search tests
engineering

Removing outliers for A/B search tests

How do you measure the success of a new feature? How do you test the impact? There are different ways ...

Christopher Hawke

Senior Software Engineer

Easily integrate Algolia into native apps with FlutterFlow
engineering

Easily integrate Algolia into native apps with FlutterFlow

Algolia's advanced search capabilities pair seamlessly with iOS or Android Apps when using FlutterFlow. App development and search design ...

Chuck Meyer

Sr. Developer Relations Engineer

Algolia's search propels 1,000s of retailers to Black Friday success
e-commerce

Algolia's search propels 1,000s of retailers to Black Friday success

In the midst of the Black Friday shopping frenzy, Algolia soared to new heights, setting new records and delivering an ...

Bernadette Nixon

Chief Executive Officer and Board Member at Algolia

Generative AI’s impact on the ecommerce industry
ai

Generative AI’s impact on the ecommerce industry

When was your last online shopping trip, and how did it go? For consumers, it’s becoming arguably tougher to ...

Vincent Caruana

Senior Digital Marketing Manager, SEO

What’s the average ecommerce conversion rate and how does yours compare?
e-commerce

What’s the average ecommerce conversion rate and how does yours compare?

Have you put your blood, sweat, and tears into perfecting your online store, only to see your conversion rates stuck ...

Vincent Caruana

Senior Digital Marketing Manager, SEO

What are AI chatbots, how do they work, and how have they impacted ecommerce?
ai

What are AI chatbots, how do they work, and how have they impacted ecommerce?

“Hello, how can I help you today?”  This has to be the most tired, but nevertheless tried-and-true ...

Catherine Dee

Search and Discovery writer

Algolia named a leader in IDC MarketScape
algolia

Algolia named a leader in IDC MarketScape

We are proud to announce that Algolia was named a leader in the IDC Marketscape in the Worldwide General-Purpose ...

John Stewart

VP Corporate Marketing

Mastering the channel shift: How leading distributors provide excellent online buying experiences
e-commerce

Mastering the channel shift: How leading distributors provide excellent online buying experiences

Twice a year, B2B Online brings together America’s leading manufacturers and distributors to uncover learnings and industry trends. This ...

Jack Moberger

Director, Sales Enablement & B2B Practice Leader

Large language models (LLMs) vs generative AI: what’s the difference?
ai

Large language models (LLMs) vs generative AI: what’s the difference?

Generative AI and large language models (LLMs). These two cutting-edge AI technologies sound like totally different, incomparable things. One ...

Catherine Dee

Search and Discovery writer

What is generative AI and how does it work?
ai

What is generative AI and how does it work?

ChatGPT, Bing, Bard, YouChat, DALL-E, Jasper…chances are good you’re leveraging some version of generative artificial intelligence on ...

Catherine Dee

Search and Discovery writer

Feature Spotlight: Query Suggestions
product

Feature Spotlight: Query Suggestions

Your users are spoiled. They’re used to Google’s refined and convenient search interface, so they have high expectations ...

Jaden Baptista

Technical Writer

What does it take to build and train a large language model? An introduction
ai

What does it take to build and train a large language model? An introduction

Imagine if, as your final exam for a computer science class, you had to create a real-world large language ...

Vincent Caruana

Sr. SEO Web Digital Marketing Manager

The pros and cons of AI language models
ai

The pros and cons of AI language models

What do you think of the OpenAI ChatGPT app and AI language models? There’s lots going on: GPT-3 ...

Catherine Dee

Search and Discovery writer

How AI is transforming merchandising from reactive to proactive
e-commerce

How AI is transforming merchandising from reactive to proactive

In the fast-paced and dynamic realm of digital merchandising, being reactive to customer trends has been the norm. In ...

Lorna Rivera

Staff User Researcher

Top examples of some of the best large language models out there
ai

Top examples of some of the best large language models out there

You’re at a dinner party when the conversation takes a computer-science-y turn. Have you tried ChatGPT? What ...

Vincent Caruana

Sr. SEO Web Digital Marketing Manager

What are large language models?
ai

What are large language models?

It’s the era of Big Data, and super-sized language models are the latest stars. When it comes to ...

Catherine Dee

Search and Discovery writer

Looking for something?

facebookfacebooklinkedinlinkedintwittertwittermailmail

When a potential customer engages with your digital property, every second counts in making a relevant and memorable experience. Rich search and discovery experiences win customer loyalty and provide information or products that they are likely to engage with. Algolia’s platform can easily leverage insights from multiple data sources to superpower personalization of the search experience. With our partner Adobe, we have focused on bringing in event data from Adobe Launch into Algolia to understand what behaviors and actions customers have taken both online and offline. These events come anonymized into Algolia, and are used to understand what items will be most relevant to each customer. For example, we may get event data that indicates a person has clicked on multiple Instagram ads for brownie mix. Later, when they go to the search bar and start searching “b-r-o-w”, we would know to rank brownie mix higher than a brow pencil or brown pants. Every second matters in keeping a user on your site, and having as much context as possible helps businesses understand affinities and interpret intent.

Our previous article walked you through various data ingestion methods, to get you up and running in Adobe Experience Manager (AEM). This article shows you how to personalize your users’ search results by capturing their click-through and conversion events.

How it works

Adobe Launch is a tag manager and distribution container, allowing digital teams to collect user behaviors on their web properties and to leverage those events in their workflows. Launch adds a Javascript onto a page as the customer browses the site. The script executes and binds launch rules on actionable elements on the page, such as a search or click.

Launch allows marketers to manage tracking scripts in one place that they want to add to the page with a form-based experience. For example, a marketer can create a Launch rule to send a user, page, and browser properties when an event occurs on a button, for example,, click or mouse over. 

We built an Algolia Insights extension for Adobe Launch, which provides two pre-packaged Algolia Insights events (‘click after search’ and ‘convert after search’) wrapped in an Adobe Launch extension. This code is inspirational (not supported), but can give you an idea on how to get started and add more events. 

Extension Dashboard

The Extension dashboard provides a way to browse available Launch extensions for installation.  It also allows for extension configuration based on your needs.

adobe launch extension dashboard
Adobe Launch Extensions dashboard

Extension Configuration

The Algolia Insights extension requires configuration before use.

Algolia launch extension configuration
Algolia dashboard

These two events – ‘click after search’ and ‘convert after search’ – are created as an “Adobe Action”. These actions require inputs such as query ID, product ID, position, and user ID, which we can get from the search results. We can add these properties directly into the DOM, on the HTML element that the action can fetch. User ID comes from the API call. 

Creating the Rules and events

Launch rules are needed to use the Algolia Insights actions.

algolia dashboard rules
Algolia Rules dashboard

Clicked after Search

The Algolia Insights API is wrapped in a Launch action. This action must be configured with the following:

  • Event Name – any arbitrary label to identify the event in Algolia 
  • Class Name – the CSS class used on the HTML element that contains the data attributes set by Algolia Hit widget

The documentation provides more details on this action.

algolia dashboard rules clicked event
Algolia’s dashboard screen to create the click event Rule
algolia dashboard clicked after search
Algolia’s dashboard screen to configure the click event

Convert after Search

The Algolia Insights API is wrapped on a Launch action. This action requires the following configuration:

  • Event Name – any arbitrary label to identify the event in Algolia 

Additional properties are required but pulled from the url. The Algolia Hit widget will need to add the query strings on the actionable links. The documentation provides more details on this action.

algolia dashboard rules convert
Algolia’s dashboard screen to create the click event
algolia dashboard convert after search
Algolia’s dashboard screen to configure the conversion event

Conclusion

algolia dashboard personalization
Algolia Personalization dashboard

When one of these user events takes place on the page, Launch will send the events and appropriate metadata back to Algolia, and our search engine will use the information to re-rank products in a way that reflects trends and personal affinities. Above, you can see an example of how we might use specific events to define the search personalization strategy within Algolia.

We welcome you to build off of our helper and share with us how you are leveraging Adobe Launch events to drive dynamic re-ranking and search personalization in Algolia! Reach out to us at adobe-algolia-solutions@algolia.com.

Check out the other blogs in the ‘Algolia x Adobe Integrations’ series, on how to ingest your AEM content into Algolia, and how to leverage Adobe Analytics metrics for your search ranking.

About the authors
Sajid Momin

Senior Director, Integrations @ Algolia

linkedin
Debanshi Bheda

Global Alliances Director - Algolia

linkedin

Recommended Articles

Powered byAlgolia Algolia Recommend

Building Immersive Shopping Experiences: Using Algolia Search with Adobe Experience Manager and any Commerce Platform
e-commerce

Debanshi Bheda

Global Alliances Director - Algolia

Leveraging Adobe Analytics for Algolia Search
product

Micah Garside-White
Debanshi Bheda

Micah Garside-White &

Debanshi Bheda

Ingesting Data from Adobe Experience Manager (AEM) for Search & Discovery
product

Debanshi Bheda
Sajid Momin
Micah Garside-White

Debanshi Bheda &

Sajid Momin

Micah Garside-White