Omni Channel Analytics [Case Study]

13% More Revenue in 3 months with AI Optimized Marketing

“Companies who adopt data-driven marketing are more likely to have an advantage over the competition and increase profitability. In fact… they are 6 times more likely to be profitable YoY.” -Forbes

Marketing Optimization

13%

Increase in Revenue in 3 months

15%

Savings on marketing costs

Goal

A mid-sized global retail company’s marketing team wanted to become fully data-driven to keep up with fierce competition. After chatting with their team, Valex experts defined the goals as follows:
• Customize content for multiple channels
• Improve content quality and customer engagement
• Social listening and sentiment analysis to pinpoint the attitude towards the brand and its competitors on different social media outlets.

Insights & Action

We used their history of marketing data across all channels to build two machine learning models: one to recommend content based on historical performance and another to optimize content based on the underlying patterns in their most successful campaigns. As a result of these insights, we were able to refine strategies for how to customize content on each social media platform. We built an algorithm to scan Twitter, Instagram, YouTube, and Amazon reviews to detect keywords to gauge consumer attitude towards the brand and its competitors. These metrics and derrived analytics were funneled into a visualization dashboard built for the Client.

Results

Marketing costs decreased by 15% in five months as a result of refining the relevant content for each platform. The company increased bottom-line revenue by 13% in three months due to greater consumer engagement. The brand established recognition as a leader in its niche based off of targeting social media campaigns due to social listening.