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AI & Automation
Amplitude Experiment
Amplitude Experiment logo
AI & Automation

Amplitude Experiment

Amplitude Experiment is an AI assistant for marketing and growth teams, focused on campaigns, content, and journey optimisation. It is designed for organisations that want agents to work inside real workflows rather than standalone demos. With Amplitude Experiment, teams can connect existing systems, define guardrails, and give the agent clear responsibilities so it behaves consistently over time. Marketers use it to draft copy, segment audiences, and analyse performance across channels while keeping data inside their existing tools. In practice, Amplitude Experiment is most effective when it is rolled out gradually, starting with a narrow set of use cases and clear success metrics, then expanded as trust and understanding grow.

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πŸ“Š At a Glance

Pricing
Freemium
Reviews
No reviews
Traffic
N/A
Engagement
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Categories
AI & Automation
Agents & Bots

Key Features

AI-assisted copywriting

Draft on-brand copy for ads, emails, and landing pages.

Audience segmentation

Suggest audience segments based on behaviour and attributes.

Journey orchestration

Recommend or automate journeys across channels where supported.

Performance analysis

Summarise campaign performance and surface key insights.

Role-based access control

Control who can configure, deploy, or use the agent.

Logging and audit trails

Keep records of conversations and actions for compliance and debugging.

Template and workflow library

Start from prebuilt flows or playbooks for common scenarios.

Multi-language support

Support for multiple languages where the vendor offers it.

Custom branding

Brand the experience to match your organisation’s identity.

APIs and SDKs

Integrate the agent into custom applications or back-end systems.

Pricing

Trial or starter

Often includes a free trial or limited starter tier intended for evaluation and small teams.
  • βœ“Access to core features suitable for pilots and proof-of-concept projects.
  • βœ“Constrained limits on users, conversations, or workflows so experimentation remains low risk.
  • βœ“Standard documentation and community or email support.

Business or professional

Paid subscription where pricing depends on seats, usage volume, or both; see the vendor's site for current figures.
  • βœ“Full feature set suitable for everyday use in a team or department.
  • βœ“Higher limits on conversations, automations, or connected apps.
  • βœ“Additional admin controls, security options, and reporting features.

Enterprise

Custom pricing negotiated based on scale, regions, and specific requirements.
  • βœ“Advanced security, compliance, and governance capabilities where available.
  • βœ“Dedicated onboarding, customer success, and integration support.
  • βœ“Volume discounts or committed-use pricing for large deployments.

Use Cases

1

Campaign ideation

Brainstorm and refine campaign ideas across channels.

2

Copy and creative testing

Produce multiple variants of messages for A/B testing.

3

Lifecycle optimisation

Help tune lifecycle flows like onboarding, reactivation, and win-back.

4

Internal knowledge assistant

Answer questions from internal documents, wikis, and runbooks.

5

Workflow documentation helper

Turn conversations and activities into updated documentation.

6

Meeting summarisation

Summarise meetings and extract action items for follow-up.

7

Experimentation sandbox

Try new automation ideas before committing engineering time.

8

Cross-functional helper

Assist multiple teams with similar questions or processes.

9

Training and onboarding

Help new hires ramp up faster on tools and processes.

10

Quality and compliance checks

Pre-screen content or workflows for policy issues.

How to Use

  1. Start by reviewing the official documentation and onboarding guides for Amplitude Experiment on https://amplitude.com/ so you understand supported channels, integrations, and limits.
  2. Connect Amplitude Experiment to your marketing stack (email, ads, CRM, CDP) so it can understand audiences, campaigns, and performance data.
  3. Create guidelines for tone, brand voice, and compliance and encode them into prompts and templates.
  4. Test AI-generated content internally and via small experiments before rolling out at campaign scale.
  5. Create internal guidelines on when to use Amplitude Experiment, how to escalate issues, and how to provide feedback so the agent and configuration improve over time.

Reviews & Ratings

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At a Glance

Pricing Model
Freemium
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