Ogee story

Lifetime value prediction can be a challenge.

But for Ogee, it was a necessity. They were growing fast and needed to know which audiences to prioritize.

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Ogee and Faraday

Ogee was seeing a spike in growth.

Only a rock solid strategy could sustain it.

After acquiring a swell of new customers using Facebook’s built-in targeting capabilities, this skincare brand wanted to optimize their ROAS by reaching higher-LTV customers.

With Faraday, Ogee was able to generate custom lookalike audiences based on existing high-LTV customers, allowing them to expand their reach among people more likely to buy their products. In the end, a lower cost-per-result and higher average order value for their enhanced Facebook campaigns led to a 33.5% lift in ROAS.

Download the full case study for an in-depth look at Ogee's story.

34% lift

ROAS.

Portable lookalikes enabled Ogee to target likely customers on Facebook, resulting in improved return on ad spend and higher AOV.

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Brands.

Connect with your customers like never before. Since 2012, Faraday has helped hundreds of brands find their edge through responsible data and ethical AI.

Ogee's Use Cases

Portable lookalikes

use case

Custom lookalike audiences delivered to your favorite channels. Finally, an easy way to expand your reach without sacrificing performance.

Categories

Acquisition

Predictions

Propensity
Persona

Integrations

Paid social

Customer profiles

Use Case

Online behavior is misleading. Basic demographics don't cut it. With Faraday, you can reach a level of insight that most brands only dream of.

Categories

Insights

Predictions

Persona
CLV
Propensity

Integrations

Faraday

Their Integrations

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Paid social

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Using a predictive churn model, Marley Spoon identified their risky customers faster than traditional retention methods.

Categories

Engagement

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Database