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Innkeepr

Paid
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About

Innkeepr is an audience optimization platform leveraging causal AI to improve ad spend efficiency by identifying optimal online audiences. It helps businesses reach new customers through profitable lookalike audiences built using data from web and mobile apps and focuses retargeting efforts on high-conversion-likelihood customers for increased ROI. Innkeepr integrates with major platforms like Meta, Google, TikTok, and Klaviyo, offering various pricing plans including a platform fee and a per-audience fee. Customer support is provided through a private channel, and no coding knowledge is required for implementation.

Platform
Web
Task
audience optimization

Features

retargeting

lookalikes

FAQs

What is causal AI?

Causal inference, also known as causal AI, is a machine learning approach that helps isolate and measure the individual impact of a single treatment, such as an ad, on an individual user basis.

Do you offer any discounts?

Yes! When you choose to pre-pay for a year of service, you'll receive a 15% discount.

What’s the difference between Innkeepr and custom audiences?

Innkeepr's AI-driven audiences excel in identifying relevant users for your marketing signals, enabling precise targeting and superior ROI compared to traditional custom audiences.

What platforms does Innkeepr support?

Innkeepr seamlessly integrates with Meta, Google, TikTok, and Klaviyo.

What is the minimum amount of data required to get started?

For us to begin building predictive audiences, we recommend having approximately 100 conversions and a dataset of 70,000 to 80,000 profiles.

Do I need to know how to code?

No! Innkeepr is easy to implement without being a developer. Additionally, we offer private channels with technical support for each customer.

Pricing Plans

Platform
750.00 / per month

Incl. 3 predictive audiences

Integrates with Meta, Google, TikTok & Klaviyo

Tailored onboarding with founders

Private support channel

Job Opportunities

There are currently no job postings for this AI tool.

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