Connectors / Integration
Better Braze Campaigns Start with Clearbit Enrichment
Automatically enrich every user profile in Braze with firmographic and demographic data from Clearbit, so your messaging runs on real intelligence instead of guesswork.
Braze + Clearbit integration
Braze is a powerful customer engagement platform for personalized, cross-channel messaging at scale — but it's only as good as the data behind each user profile. Clearbit is a B2B data enrichment provider offering real-time firmographic, technographic, and demographic intelligence on companies and contacts. Together, they fix a common problem: Clearbit fills the gaps in your Braze user attributes so every message, segment, and campaign runs on accurate data rather than incomplete records.
Most marketing teams collect only surface-level data at sign-up — an email address, a name, maybe a job title. That leaves Braze user profiles thin and limits your ability to build meaningful segments or trigger contextually relevant messages. By connecting Clearbit with Braze via tray.ai, you can automatically enrich new and existing user profiles with company size, industry, revenue, technology stack, seniority, and hundreds of other attributes the moment a contact enters your system. Sales and marketing teams can immediately segment high-value prospects, trigger onboarding flows tailored to company size, suppress irrelevant messaging for small businesses if you sell enterprise, and personalize every touchpoint without doing it manually. The result is higher engagement, better conversion, and a marketing engine that doesn't slowly drift out of date.
Automate & integrate Braze + Clearbit
Automating Braze and Clearbit business processes or integrating data is made easy with Tray.ai.
Use case
Real-Time User Enrichment on Sign-Up
When a new user registers or provides their email in Braze, tray.ai instantly calls the Clearbit Enrichment API and writes the returned firmographic and demographic attributes back to the user's Braze profile. Every new contact is fully enriched before they receive their first communication, so segmentation and personalization work from day one.
- Eliminate manual data entry and CSV imports by enriching profiles automatically at the moment of sign-up
- Personalize onboarding email sequences based on company size, industry, or role without asking users to fill out long forms
- Immediately qualify leads in Braze by appending revenue, employee count, and technology stack data
Use case
Dynamic Audience Segmentation by Firmographics
Use Clearbit-enriched attributes stored in Braze to build precise audience segments — enterprise SaaS companies with over 500 employees using Salesforce, or SMB e-commerce brands in North America. tray.ai keeps these segments current by re-enriching profiles on a schedule or when key attributes change, so your Braze campaigns always reach the right audience.
- Create highly specific Braze segments without relying on self-reported data from users
- Reduce wasted send volume by excluding profiles that don't match your ideal customer profile
- Improve campaign ROI by delivering messages that match each segment's actual business context
Use case
Triggered Campaigns Based on Company Intelligence
Automatically trigger targeted Braze campaigns when Clearbit reveals a user belongs to a high-value company tier, uses a specific technology, or matches a defined ICP segment. If Clearbit identifies a user as a VP at a Series B SaaS company, tray.ai can immediately add them to a Braze campaign built for enterprise decision-makers.
- Shorten time-to-engagement by triggering the right campaign the moment enrichment data is available
- Increase demo request and trial conversion rates by sending ICP-matched users a tailored call-to-action
- Cut reliance on manual segmentation reviews by automating campaign enrollment based on enriched attributes
Use case
Lead Scoring and Suppression Automation
Use Clearbit company and contact data flowing into Braze to automatically score inbound leads and suppress low-fit contacts from campaigns. tray.ai evaluates enriched attributes against your ICP rules, assigns a score to each user in Braze, and excludes contacts that fall below a defined threshold from expensive or high-touch campaign sequences.
- Focus sales and marketing resources on prospects most likely to convert by scoring leads automatically
- Reduce unsubscribe and spam complaint rates by suppressing irrelevant messaging for poor-fit contacts
- Keep Braze message costs under control by removing non-ICP users from high-frequency campaign tracks
Use case
Personalized In-App Messaging Using Job Role and Seniority
Enrich Braze user profiles with Clearbit's person-level data — job title, seniority level, and department — and use these attributes to deliver relevant in-app messages and content recommendations. A C-suite executive and an individual contributor at the same company can receive entirely different in-app experiences based on their role.
- Increase in-app engagement by surfacing features, content, and CTAs relevant to each user's job function
- Reduce churn risk by proactively engaging decision-makers with ROI-focused messaging while guiding end-users with product tips
- Retire one-size-fits-all in-app experiences that don't connect with diverse user personas
Use case
CRM and Braze Profile Sync with Enrichment Layer
When enriched contact data is updated in Clearbit Prospector or via webhook reveals, tray.ai syncs those changes back to the corresponding Braze user profile and pushes updates downstream to your CRM at the same time. You get a single, consistent view of every contact across your marketing, sales, and engagement tools.
- Maintain data consistency across Braze, your CRM, and other tools without manual reconciliation
- Ensure Braze campaigns always use the most current company and contact intelligence available
- Give sales teams confidence that their CRM records match what marketing is using in Braze
Challenges Tray.ai solves
Common obstacles when integrating Braze and Clearbit — and how Tray.ai handles them.
Challenge
Mapping Clearbit's Data Schema to Braze Custom Attributes
Clearbit returns hundreds of data points across nested company and person objects, while Braze requires flat custom attributes with specific data types. Building and maintaining this field mapping by hand is error-prone and slow, especially as Clearbit's API schema changes.
How Tray.ai helps
tray.ai's visual data mapper makes it straightforward to define and maintain the translation between Clearbit's nested JSON response and Braze's custom attribute schema. Transformations, type casting, and conditional field mappings can all be configured without code and updated in minutes when schemas change, so you're not waiting on engineering every time something shifts.
Challenge
Handling Clearbit API Rate Limits During Bulk Enrichment
When enriching large Braze user bases — tens or hundreds of thousands of contacts — workflows can quickly hit Clearbit's API rate limits, causing failures, incomplete enrichment, and data gaps that undermine the accuracy of your Braze segments.
How Tray.ai helps
tray.ai includes built-in rate limiting controls, retry logic, and queue management that automatically throttle Clearbit API calls to stay within allowed limits. Bulk enrichment workflows can be configured to process contacts in controlled batches with configurable delays, so every profile gets enriched reliably without manual intervention.
Challenge
Keeping Braze Profiles Fresh as Clearbit Data Changes Over Time
B2B contact data degrades fast — people change jobs, companies get acquired, and technology stacks evolve. Without a proactive re-enrichment strategy, Braze user profiles go stale, leading to misdirected campaigns, poor segmentation, and budget spent targeting the wrong people.
How Tray.ai helps
tray.ai runs scheduled re-enrichment workflows that periodically audit Braze user profiles, identify records where Clearbit attributes are outdated or missing, and refresh them automatically. Timestamp tracking and conditional logic ensure only profiles that actually need updating are re-queried, keeping API costs low while your audience data stays current.
Templates
Pre-built workflows for Braze and Clearbit you can deploy in minutes.
Enrich New Braze Users with Clearbit on Sign-Up
Braze 
Clearbit Automatically triggers when a new user is created in Braze, calls the Clearbit Enrichment API with the user's email address, and writes all returned company and person-level attributes back to custom attributes on the Braze user profile in real time.
Scheduled Bulk Re-Enrichment of Braze User Profiles
Braze Clearbit Runs on a defined schedule to identify Braze user profiles with stale or missing Clearbit enrichment data, re-queries Clearbit for updated information, and patches the Braze user records with fresh firmographic and contact intelligence.
Trigger Braze Canvas from Clearbit Company Intelligence
Braze Clearbit Monitors Clearbit Reveal or Prospector data for contacts matching a defined ICP profile and automatically enrolls matched users into a targeted Braze Canvas built for enterprise, mid-market, or SMB audiences based on their company tier.
Suppress Non-ICP Users from Braze Campaigns Using Clearbit Data
Braze Clearbit Automatically identifies Braze users whose Clearbit-enriched profiles don't match your ideal customer profile and adds them to a suppression list or removes them from active campaign segments to reduce irrelevant sends and protect deliverability.
Sync Clearbit Enrichment Updates to Braze and CRM Simultaneously
Braze Clearbit When Clearbit detects a significant change in a contact's firmographic data — a new job title, company, or funding round — tray.ai propagates those updates to both the Braze user profile and the corresponding CRM contact record in a single automated workflow.
Personalize Braze Onboarding Flow by Clearbit Industry and Company Size
Braze Clearbit After enriching a new user's Braze profile with Clearbit data, this template routes users into industry-specific and company-size-specific onboarding Canvas flows, so every new sign-up gets messaging that actually fits their business context from the first touchpoint.
How Tray.ai makes this work
Braze + Clearbit runs on the full Tray.ai platform
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