Customer journey orchestration that keeps up with your customers
Coordinate welcome, post-purchase, and retention programs using a shared understanding of your customers. Amperity brings resolved profiles and available customer behavior into audience rules, helping teams choose who enters a journey and what happens next.
Request a demo
Customer journey orchestration for the moments that drive growth
Win and retain more high-value customers
Use customer history and available predictions to prioritize audiences and design offers for their stage in the relationship.
Act while the opportunity is still live
Give teams audience-building and journey tools that reduce routine list requests. Choose scheduled batch or configured real-time journeys to fit the response your program needs.
Cut the waste without cutting the reach
Use resolved profiles and exclusion rules to reduce duplicate outreach and avoid including customers who no longer qualify.
Prove the impact and scale what works
Compare results using the measurement approach supported by your journey type. Configure batch goals or analyze real-time travel logs with control paths, then decide which approach to change or expand.
From first welcome to lasting loyalty and every journey in between

Welcome and onboarding
Build an introductory sequence using the customer attributes and history available to your team. Choose entry criteria and content that fit the customer’s stage in the relationship.
Welcome & onboarding
Post-purchase
Use purchase history and available profile attributes to plan education, service, and cross-sell follow-ups through configured destinations.
Post-purchase journey
Retention and win-back
Define audiences using available engagement, purchase, and predictive attributes. Set the timing and paths for the retention or win-back program you want to test.
Retention and win-back
Abandonment recovery
Define when cart, browse, or booking activity counts as abandonment, then use a configured real-time journey to follow up through supported destinations. Combine available history with the abandonment state, and configure exclusions and exit conditions for purchases or other changes that should stop the messages.
Abandoned cart recoveryHow it works, from trusted customer context to automated omnichannel journeys

Ground journey rules in resolved customer profiles
Bring together records from the sources you connect so journey audiences can draw on more of the customer relationship. Available attributes may include transactions, loyalty activity, engagement, and configured predictions.
Define audiences from available customer context
Use the visual segment builder or, where available, the AI Assistant to define the audience. Segment membership depends on your criteria and the data available when it refreshes.
Build journey paths without writing code
Use the drag-and-drop canvas to arrange delays, splits, and activation steps. Where available, the AI Assistant can help authorized users create a journey in plain language. Review its audience rules and channel configuration before launch.
Match journey timing to the customer moment
Use scheduled batch journeys for programs built on database audiences, or configured real-time journeys that respond as customers join real-time segments. Define entry, branching, and exit rules for the path you choose. Data freshness and supported destinations determine what each journey can act on.
Activate to supported destinations and evaluate results
Send journey audiences and selected attributes to configured destinations. For batch journeys, configure goals and test and control paths to assess results. For real-time journeys, export the travel log and compare treatment paths with a control group in your analysis tools. Use the findings to refine your next program.
Plan your next journey with Pér
Explore an idea for your next lifecycle program. Where enabled, Pér, Amperity’s AI agent for customer data, can help you understand available customer data and propose work for review. You approve changes before Pér carries them out in Amperity.
Explore Pér promptsCustomer results built on unified data

Alaska Airlines
In its initial Amperity use cases in 2017, Alaska Airlines reported a 198% increase in loyalty conversion rates and a 30% reduction in online advertising costs.
Learn more
Virgin Atlantic
Virgin Atlantic unified more than two million profiles across booking, loyalty, and complaints data, reaching a unified customer profile in fewer than four days.
Learn more
New Look
New Look uncovered 3.4 million customer profiles previously fragmented across records. Its customer story reports £1 million in media savings and a 50% ROAS improvement using an Amperity-built audience.
Learn moreMore ways to put customer context to work
Customer Segmentation
Build audiences from resolved profiles and available behavioral, transaction, and predictive attributes.
Customer SegmentationReal-Time Personalization
Give connected experiences customer context from real-time profiles and supported event signals.
Real-Time PersonalizationLoyalty & Retention
Prioritize retention opportunities using customer history, available predictions, and program results.
Loyalty & RetentionPaid Media Optimization
Send first-party audiences and supported conversion signals to your connected advertising platforms.
Paid Media OptimizationReady to build your next customer journey?
See how trusted customer context can help your team choose the audience, path, and timing for its next lifecycle program.
Request a demoContact SalesFrequently asked questions
What is customer journey orchestration?
How is customer journey orchestration different from marketing automation?
How is customer journey orchestration different from a CDP?
Why does identity resolution matter for customer journey orchestration?
What channels does customer journey orchestration work across?
How does Amperity keep customer journeys current as behavior changes?
Recommended Content

Blog
Oct 23
The Identity Problem Behind Slow Customer Decisions
Slow customer decisions often start with fragmented identity. See how connecting customer data reduces delays and improves decision-making.

Blog
Oct 21
The Customer Decision Gap: What It Is and How to Close It
Customer data is everywhere. Timely decisions are harder to come by. Learn how brands can close the gap between customer insight and action.

Blog
Oct 8
Your AI Knows Marketing. Does It Understand Your Customer?
Trusted customer context is the foundation for AI decisions you can stand behind.