• By relying on the optimization features of online ad platforms, Macmerise lacked a competitive advantage resulting in stagnant growth.
• Alavi used artificial intelligence (AI) to identify profitable audiences, marketing workflows and target 2x revenue growth.

An Indian Pioneer

‍Macmerise is a rising star in India’s tech gadgets and accessories industry. It is best known as India’s first decal manufacturer and the first company in the country to be awarded licensing rights by major Hollywood studios including Disney, Marvel, Lucas Films and Warner Bros (DC Comics).

Like most online retailers, Macmerise invested significantly in pay-per-click (PPC) marketing to grow its business. While initial results were good, increased competition eventually resulted in soaring acquisition costs, diminishing returns and, worst of all, stagnant revenue growth.

The Need for an Advantage

‍To optimize its PPC marketing, Macmerise relied heavily on the targeting and conversion features offered by online ad platforms, like Facebook and Google These are tools every advertiser has access to, which meant Macmerise and its competitors were using similar strategies. Macmerise CEO, Sahil Shah realised that the company’s digital marketing did not have any competitive advantage.

To differentiate its strategies, Sahil and the company’s digital agency, Omnikon, searched for new marketing technologies. They wanted an application that would deliver a deeper understanding of how customers were engaging with their products and content and then identify new audiences that have a high probability of buying from Macmerise versus the competition. After an exhaustive search, they discovered Alavi.ai (Alavi), an online application whose artificial intelligence has helped brands across a broad range of industries greatly improve their digital marketing.

The Power of Artificial Intelligence

‍For Macmerise, setting up Alavi was simple and intuitive. In just a few of hours, Alavi was connected to all of the company’s ad platform analytics and automatically started searching for the company’s most profitable audiences. To do this, it used artificial intelligence to analyse the relationships between millions of data points. It then reverse engineered profitable conversion paths based on key metrics including cost per acquisition (CPA), return on ad spend (RoAS) and conversion rates.

Using Alavi’s cohort profiles and recommended workflows, Macmerise quickly launched a series of highly targeted campaigns via online platforms like Facebook and Google. The company also personalised each ad campaign’s creatives using the interests, affinities and demographic variables identified by Alavi.

Immediate Results

‍In just four weeks, Alavi-powered campaigns beat all of Macmerise’s previous benchmarks. Cost per Acquisition reduced by 42%, Conversion Rates increased by 42% and Return on Ad Spend improved by 25%.

Buoyed by this success, up to 70% of Macmerise’s campaigns are now driven by Alavi, and the company is on track to doubling its revenue.

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