Our client is a leader in the consumer goods industry that discovers, develops, and launches successful products to elevate the customer experience.

The Challenge

Historically, our client’s success was based on direct to consumer advertising using television commercials. Their mission is to take simple ideas and turn them into the next big thing. Our goal was to introduce their product in the social media landscape to assess the demand, and analyze that data and analytics driven by consumers’ behavior to determine product viability.

How we did it

Starting at ground zero, we launched an array of interest and behavior-based audiences to gauge the market’s appetite. The audience research process involved analyzing competitors, characteristics including age, gender, and shopping preferences of possible customers to profile our client’s ideal customer.

We initiated a traffic campaign so that we could segment our audiences based their expressed intent in our funnel, and direct all website visitors to our concurrent conversions campaign that was optimized for purchases. Using an ongoing data-driven approach, we analyzed the data in real-time from our campaigns, continuously adjusting and tweaking to optimize our ads for maximum return.

Naturally, to keep costs down, we created a series of lookalike audiences based on consumer interaction with the brand, and we were able to reduce our cost per acquisition significantly once we surpassed our desired threshold of action-based events on the website.

Our Results

With a variable budget that incrementally increased as we achieved scale, we drove conversions from 0 sales per to more than 10+ sales a day, while reducing unit costs from $47.17 to $8.29 in a mere four weeks. Our cost per acquisition dropped by 80% and produced a 3X positive return from marketing to only cold traffic.