How the Contentsquare-Braze partnership takes personalization to the next level

What does Braze do?

Braze is a customer engagement platform that helps brands engage with their customers at each step of their journey and device, all from a single platform. 

Using customer behaviors, preferences, and demographics, Braze allows users to create tailored messaging through multiple channels, such as push notifications, in-app messages, email, and WhatsApp. 

By delivering targeted messaging at the right time, Braze enables companies to maintain loyal relationships with their customers, driving lasting impact.

How the Contentsquare-Braze partnership works

Braze is a technology partner within Contentsquare’s partner ecosystem, which is made up of 250+ technology and solution providers.

This ecosystem lets brands integrate Contentsquare’s quantitative and qualitative data into third-party applications and agencies to accelerate return on investment (ROI) and growth.

Thanks to the Contentsquare-Braze integration, brands can surface Contentsquare’s customer experience insights directly in the Braze platform, to develop tailored engagement campaigns. 

Through Contentsquare, brands can connect with the users behind the numbers, improving the relevance and impact of campaigns built in Braze. This is important, especially given that 85% of marketing executives are concerned their messages aren’t hitting home, according to the Braze 2025 Global Customer Engagement Review. 

By understanding their customers’ digital body language, brands can create more contextualized and personalized messaging that’s sent at the right time and place, every time. 

Key benefits of the Contentsquare-Braze partnership

Here are 3 ways brands can benefit from the Contentsquare-Braze partnership.

1. Send contextualized messages, at the right time

Customer behavior is nuanced and ever-changing, making it hard to pinpoint the right time and channel to engage with them.

With Contentsquare’s Experience Intelligence platform, brands can see exactly what their customers are experiencing and why they’re behaving the way they do, on-site or in-product. And, all this data is automatically captured with just a simple snippet of code. No manual input—it’s all covered, all the time. 

Contentsquare’s AI CoPilot offers smart dashboards and automated data analysis so brands can then turn their customer data into actionable insights, all accessible in the Braze platform. 

Thanks to the integration, brands don’t have to guess the best time—or channel—to reach out to their customers. They can simply draw on the insights gathered by Contentsquare to create hyper-personalized messages that better guide customers toward key actions or conversions.

2. Help recover users who experience frustration or friction in their journey

Web analytics, like bounce rate or website visits, can only tell so much about how customers experience brands’ sites or products. 

With Contentsquare, brands can find drop-offs in the customer journey and then watch back user sessions to better understand what frustrated or confused users just before that point. 

Knowing how your customers feel as they move through their journey—especially at critical drop-off or friction points—means brands can better tailor their messaging in Braze to encourage them to continue. 

3. Build behavior-based audiences

Personalized messaging is the name of the game when it comes to brands treating their customers like individuals, rather than a single cohort.

But, it’s hard to deliver messages that hit the mark for each customer every time without data to tell brands when, where, and how their customers want—and need—engagement. 

With more than a third of brands using customer data and preferences to personalize their messages according to Braze’s review, there’s never been a better time to tap into the power of experience intelligence platforms. 

Brands can create segments of users within Contentsquare based on a variety of factors, including behaviors, demographics, and intent. By dividing customers into groups with similar attributes, brands can find ways to better address each segment’s needs, preferences, and pain points. 

Contentsquare lets brands create segments based on user actions or third-party data.

This can then be fed into Braze to develop, test, and deliver targeted messaging strategies for each segment, leading brands towards more meaningful conversations that delight their customers, and boost key metrics.

⚡Emerging trend: A key customer engagement trend to come out of the Braze 2025 Global Customer Engagement Review is the merging of content with technology to build meaningful connections. By balancing technology-driven approaches like personalization and AI (93% of marketers use this technique) with content-driven tactics (levered by 86% of marketers), brands can transform the relationships they have with their customers.

Use cases of the Contentsquare-Braze integration

Here’s how top brands are using this partnership to better understand their customers and interact with them on a more individual level.

1. Heatmaps and Session Replay to fix problem pages

Heatmaps in Contentsquare show brands exactly how their customers behave on-page—every click, scroll, hover, and tap. Add in revenue attribution and brands can discover which content elements are driving impact—and which are falling flat.

Pair this with session replays to watch back the exact steps customers take and in what order to see what motivates customers to interact with page elements. 

These 2 capabilities help show exactly where brands should place targeted messages from Braze to bring back customers who’ve dropped off before a key conversion event. 

Let’s look at how this plays out in the real world…

Say a jewelry company wants to improve their cart abandonment rates. Using Heatmaps, they can see customers are continuously clicking on the address field in their checkout form.

To dive deeper, the company jumps over to related session replays to see how their customers navigate the form in real time (with personal details hidden automatically by Contentsquare).

They identify a user experience (UX) issue that’s preventing customers from entering numbers in the field. Armed with this insight, they immediately prioritize the fix.

Once resolved, the company uses Braze to send out a contextualized email to all users impacted, letting them know the problem was rectified and encouraging them to continue with their purchase.

2. Analyse journeys to create cohesive, impactful campaigns

Journey analysis in Contentsquare shows exactly how customers move through a site, from start to finish, page by page. Discover well-trodden paths users take to get to key conversion goals and uncover hidden journeys worthy of optimization.

Contentsquare helps identify which content journeys lead to the most conversions and revenue.

Contentsquare’s Funnel Analysis helps brands track users through their marketing funnel journey, from the first interaction to the final purchase decision. Brands can add in funnel steps, by page and behavior, and then track performance instantly. 

Brands can see how users move through the funnel, how long it takes them, and where they are getting stuck or dropping off. By watching back user sessions at these friction points, brands get a better idea of what customers are experiencing at that time.

With these insights fed into Braze, a single, unified customer engagement platform, brands can then send personalized messages at precise moments in the customer journey, identified by Contentsquare, to increase the chances of conversion.

Let’s look at how this plays out in the real world…

Say a travel company has a scattered and fragmented approach to its marketing tactics, and is overwhelming customers by sending messages across multiple channels from various different software. 

They want a more cohesive approach when speaking with their customers—messaging that’s personalized, impactful, and flows with their natural journeys.

Using Journey Analysis, they start to understand how their customers move through their site—what they do before converting, purchasing, or exiting, where they’re getting confused, and the unexpected paths they’re taking to reach key goals.

Using these insights, they build a campaign that’s based on event-triggered marketing in Braze, where messages are sent responding to individual actions, in real time, across the site. 

For instance, if customers are browsing flights, they receive timely nudges to book, while those already in the purchasing funnel might get tailored recommendations for add-ons, like hotels or tours.

3. Harness AI to retarget and recover customers

There’s no one-size-fits-all solution when it comes to speaking with your customers. No 2 customers act the same way or have the same needs. So, how can brands treat each customer as an individual to turn them into loyal customers?

The best approach is to separate users into categories, or segments. When brands divide their customers into smaller clusters with similar attributes—based on things like behaviors, demographics, geographic location—it’s easier to create personalized moments that give each customer the attention they deserve.

With Contentsquare’s Product Analytics, brands can understand customers’ multi-session journeys, across multiple devices. When paired with Contentsquare AI, brands can then quickly identify specific patterns of disengagement, such as hesitations or frustrations, and build a segment of customers who might be at risk of churning.

Contentsquare’s Product Analytics helps brands break down customer segments into actionable insights. 

This segment can then be fed into Braze, where a personalized, multi-channel campaign can be set up to retarget and reengage those users specifically.

💫 AI insight: more and more brands are turning to artificial intelligence to help streamline and speed up the analysis process, with 39% of marketers using AI-powered analytics to analyze customer data, according to the Braze Global Customer Engagement Review.

Let’s look at how this plays out in the real world…

Say a retailer wants to try and bring back customers who haven’t purchased anything for the past 30 days. Using Contentsquare’s Product Analytics, they’re able to identify who those lapsed customers are, and start building out a segment.

With Contentsquare’s AI CoPilot, they then ask questions about this segment, including past engagement and purchase behaviors, to get a more holistic view and to find ways to re-engage with these users.

They then send this segment to Braze and start planning out a re-engagement campaign, leveraging Contentsquare data along the way. They decide to offer incentives alongside personalized offers to welcome these customers back.

“AI enables marketers to personalize and optimize experiences at scale—and tailor content, recommendations, and customer journeys that are relevant for every user at every touchpoint.”

Kelsey Nelson

VP of Product Marketing at Braze

FAQs about the Contentsquare-Braze partnership