Aampe

Aampe: Agentic Personalization Infrastructure

Aampe offers an agentic infrastructure designed to deliver continuously personalized experiences by turning your app into a data factory. It integrates with your existing marketing stack to learn user preferences across channels and optimize messaging in real time through a combination of experimentation and machine learning.

What it is

• Aampe provides AI-driven, agentic personalization that orchestrates personalized messaging across multiple channels (web push, mobile push, in-app messages, SMS, WhatsApp, email, etc.).
• It integrates with your CDP (customer data platform) and CPaaS (communications platform as a service) to leverage user data and deliver targeted content.
• The platform emphasizes actionable experimentation, transparency, and control, enabling data-driven messaging without requiring prior journey setup.

How it works

• Your app already collects data; Aampe layers structured ML and reinforcement learning to generate user-level preferences and enrich internal metadata.
• It runs controlled, parallelized experiments with tagged messages to learn which messages, timing, and channels drive desired actions.
• Aampe blends experimentation with machine learning to generalize findings and apply them across messages, audiences, and channels while preserving control for your team.

Why it matters

• Improves e-commerce conversions, engagement, and reach by delivering the right message at the right time.
• Reduces reliance on large, rigid customer journeys; you can start optimizing with minimal setup and scale over time.
• Helps marketing and data science teams focus on high-value work while Aampe automates test-driven optimization.

Core capabilities

• Cross-channel learning: Learn across Push, Web Push, SMS, WhatsApp, In-App, and more.
• Data integration: Seamless connection with existing martech stack, CDP, and CPaaS without disruption.
• Controlled experimentation: Parallel experiments with tagged messages to infer impact and optimize the right actions.
• Content generation: Supports creating and managing thousands of instrumented messages; can assist with GPT-3 copywriting.
• Human-in-the-loop control: Users retain the ability to adjust messages, time windows, ad hoc sends, or halt campaigns.
• Accessibility for teams of any size: Works with or without a dedicated data science team; designed to be usable by non-technical users as well.
• Transparency: Detailed explanations of how personalization works; whitepapers available for technical audiences.

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How to Use Aampe

1. Connect your CDP and CPaaS API keys.
2. Define your goals (e.g., clicks, sessions, conversions).
3. Start writing or upload messages; Aampe begins running experiments and optimizing delivery.
4. Monitor results and adjust constraints as needed; continue to iterate.

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Use Cases

• Personalizing customer communications across channels to boost engagement and conversions.
• Replacing or augmenting traditional CRM workflows with data-driven messaging experimentation.
• Generating and organizing a large library of messages for testing and deployment.

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Safety, Privacy, and Compliance

• Aampe emphasizes transparency and user control; you can review how models work and adjust settings.
• Data handling adheres to standard privacy practices; integration relies on your CDP/CPaaS configurations.

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Core Features

• Cross-channel personalization across Push, Web Push, SMS, WhatsApp, In-App, and more
• Easy integration with existing CDP and CPaaS without disrupting current workflows
• Experiment-driven optimization with controlled, parallelized messaging tests
• Hybrid AI approach combining real-world experiments with machine learning
• Large messaging library creation and management with possible GPT-3 copywriting support
• Full user control over messages, timing windows, ad hoc sends, and global pause
• Scalable for apps with any size of user base; works with fewer than 10,000 users
• Transparent methodology with documentation and whitepapers for technical audiences