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AI Decisioning

Take your lifecycle marketing beyond human scale

AI Decisioning uses continuous experimentation and machine learning to find the most effective way to engage every customer.

Customer receiving a personalized loyalty email that results in a product purchase.

If AI has changed everything,
why is lifecycle marketing the same?

Right now, as you read this, a fleet of robot taxis is shuttling passengers across San Francisco and an AI can plan your vacation or proof-read your novel.

So, then why do we still send e-mails, SMS, and push like it’s 2003?

AI Decisioning uses machine learning and automated experimentation to remove the guesswork of manual segmentation, content planning, and A/B testing. It uses all your data to determine and deliver optimal marketing for every customer.

The result? A higher impact program that contributes more revenue and delivers a better customer experience.

The
old way

Traditional marketing

Overly broad targeting

Ineffective, audience-level user journeys.

Generic messaging

Broad messaging that lacks resonance.

Manual A/B testing

Infrequent and resource-intensive optimization.

The
new way

AI Decisioning

Precise targeting

Deliver the most relevant campaigns to every individual customer.

Hyper-personalized campaigns

Unique content tailored to each person’s real preferences and behavior.

Automated AI testing

Continuous, scaled experimentation to find the best way to improve lifecycle performance.

The
old way

Traditional marketing

Overly broad targeting

Ineffective, audience-level user journeys.

Generic messaging

Broad messaging that lacks resonance.

Manual A/B testing

Infrequent and resource-intensive optimization.

The
new way

AI Decisioning

Precise targeting

Deliver the most relevant campaigns to every individual customer.

Hyper-personalized campaigns

Unique content tailored to each person’s real preferences and behavior.

Automated AI testing

Continuous, scaled experimentation to find the best way to improve lifecycle performance.

AI Decisioning is not a fun AI toy. It’s how you beat your competitors.

Drive repeat purchases

Engage your customers with perfect campaigns at the perfect time and place.

Increase average order value

Offer each customer high propensity, high margin products and services.

Improve customer experience

Give each customer unique experiences that fit their unique journey.

Spotify.
NBA.
PetSmart.
Weight Watchers.
Ramp.
Calendly.
GitLab.
Grammarly.
Spotify.
Betterment.
NBA.
PetSmart.
Tripadvisor.
GameStop.
Cars.com.
Weight Watchers.
Iterable.
Ramp.
Plaid.
Calendly.
GitLab.
Malwarebytes.
Greenhouse.
Grammarly.

What does AI Decisioning actually do?

Customer data for John Doe, displaying loyalty customer, age, state, LTV, and last purchase values.

All you need is your existing data, content, and tools.

Product Showcase
UI displaying selectable channels like emails, SMS, and push notifications with corresponding messages linked to different campaigns.
UI displaying selectable channels like emails, SMS, and push notifications with corresponding messages linked to different campaigns.

Use your existing content and tools

You're in control of your message. AI Decisioning can use campaign templates in your ESP, SMS, and notification platforms, and can also inject dynamic content to personalize for each customer.

It’s an AI that you don’t need to stay up at night worrying about.

You create the content

You're fully in control. AI Decisioning only uses content that you explicitly provide.

Data stays in your infrastructure

AI Decisioning sits directly on top of your data warehouse. The only thing that leaves is your sent campaigns.

Set guardrails for customer journeys

Define rules to make sure you only reach the customers you want, at frequencies and with message variants that meet your brand standards.

Connect to 200+ tools

Send any data to any tool. Skip building and maintaining pipelines, uploading CSVs, and having data silos across marketing, sales, customer success, finance, and analytics.

PostHog
Facebook Custom Audiences
PostgreSQL
Slack
Redis
Retention Science
Oracle DB
Adobe Target
Stripe
MongoDB
Salesforce Pardot (Sandbox)
HubSpot
MariaDB
NCR Advanced Marketing Solution
Salesforce (Sandbox)
Amazon Ads DSP and AMC
Zoho CRM
Gladly

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