Redshift Customer Data Platform
The world’s most innovative companies choose Hightouch and Redshift as their Composable CDP
Why Redshift should be your CDP
90%1 of marketers say their traditional CDP does not do what they need, so why do they keep buying them?
Fast time to value
Don’t implement a separate technology — bring your CDP to your data and turn Redshift into a marketing engine. Implement your first use case in weeks, not months.
Flexibility & security
Your data is unique, and you need a CDP that allows you to leverage all of your behavioral data, attributes, offline data, and custom data science models. All while keeping your data where it is most secure, in Redshift.
Complete customer view
The most complete view of your customer already lives in Redshift, so keep it there. Your CDP should act as an extension of your data infrastructure, not a separate entity that sits outside of your technology stack.
Redshift and Hightouch in action
M1 Finance securely powers 100+ marketing audiences with a Composable CDP
Turn Redshift into your customer data platform
Don’t copy your data to an incompatible and less secure data silo. Turn your existing data into a CDP instead.
Leverage any data point in Redshift – not just users, accounts, and events
Build and activate audiences directly from Redshift
Integrate with your existing data infrastructure
Maintain control over your data and eliminate duplicate storage
A complete CDP for Redshift
Composable CDPs are more secure
Hightouch doesn’t store your data. Instead, we simply read from Redshift, where it stays safe and sound.
Supported Redshift capabilities
Hightouch supports all the nuanced things about Redshift that you already know and love.
- SSH Tunneling
- External tables
- Apache Iceberg
- dbt integration
- Intelligent sampling
- Row-level security
- Column-level security
- Redshift Serverless
- Redshift Spectrum
- Looker
- Tableau
- Sigma
Built for modern data teams
Version control with Git allows you to manage pipelines using YAML files in a repo that syncs bidirectionally with Hightouch.
Integrate directly with dbt to import your models, publish exposures back to dbt, and trigger syncs as soon as dbt jobs finish.
Write logs back to Redshift for auditing or analysis, giving you full control and unlimited retention.
Step into the row-level debugger to trace every operation that occurs during a sync, including API calls for each processed row.
Detect anomalies and proactively receive alerts on sync throughput, data quality, destination errors, and other problems.
Build escalation flows with custom alerts that loop in stakeholders and help resolve data incidents more quickly.
Redshift CDP use cases
Lookalike audiences
Improve ROAS by building an audience of high-value customer profiles in Redshift and uploading it to your ad platforms.
Retargeting
Build an audience of customer profiles to retarget high-propensity users and drive conversions.
Suppression
Improve ROAS by maintaining a global opt-out list of all your customers in Redshift and suppressing existing customers on ad platforms.
Conversion APIs
Send conversion events from Redshift to your ad platforms to train ad algorithms and optimize targeting with data on successful conversions.
Commerce media networks
Build your media network on Redshift to create, activate, and monetize premium audiences across 50+ onsite & offsite channels for advertisers.
Attribution & measurement
Close the loop with attribution and incrementality testing in Redshift to improve campaign performance and financial outcomes.
Data clean rooms
Push data from Redshift to data clean rooms, syncing overlapping audiences to 250+ destinations for cross-brand and partner collaboration on 1st party data.
Omni-channel journeys
Use all of your customer data in Redshift to build personalized and dynamic journeys for each individual user to create a cohesive, personalized customer experience across every touchpoint.
Winback campaigns
Build custom audiences of dormant customers in Redshift to re-engage with targeted offers.
Cross-sell & upsell campaigns
Build audiences of existing, high-propensity customers to send to your marketing tools and retarget to maximize revenue and grow LTV.
Predictive campaigns
Use machine learning to predict behaviors and trigger proactive marketing interventions to drive business-specific outcomes (e.g., increasing LTV, reducing churn, etc.).
Loyalty programs
Build audiences using core metrics like spending habits, loyalty points, and predictive modeling to deliver personalized experiences to all loyalty members, maximizing LTV and incremental revenue.
Dynamic content personalization
Personalize app and web experiences based on individual user behavior to increase loyalty and conversions.
Sales
Enrich your CRM & sales tools with product usage data, behavioral data, & health scores from Redshift to give your sales reps better visibility into critical account and lead data so they take action in real time.
Support
Enrich your support tools with product usage data, behavioral data, & ticketing data from Redshift to help your support teams prioritize high-value customers and equip them with more context so they can resolve tickets faster.
Finance
Enrich your finance tools with core metrics like ARR, LTV, and additional product usage data from Redshift to provide your finance teams with more accurate and reconciled financial data so they can make better decisions.
Product teams
Enrich your analytics tools with product usage data from Redshift to enable your product teams to better understand what features and products are being used so they can optimize the customer experience.
Operations
Enrich your CRM, comms, and project management tools with product usage data, behavioral data, & health scores from Redshift to give business teams a complete customer view in the tools they use daily.