CASE STUDY

Apparel Manufacturer Improves Social Media Marketing ROI Through Multiple Regression Analytics

Sep 23, 2016

Business Challenge

Quantifying the effects of social media marketing spend.

A leading apparel manufacturer wanted to assess the impact of its efforts on social media activities and improve effectiveness.

Speak with our analytics experts today to know more about multiple regression analytics and how it helps organizations reduce risks, identify opportunities, plan strategic next steps, forecast growth, fuel innovation, and increase sales, profitability, and market share.

Situation

The rising need for evaluation of performance parameters.

The client wanted to improve its advertisement investment in social media by assessing and evaluating parameters such as impressions, click ratio, user reachability, and conversion rate.

Solution/Approach

Multiple regression analytics for the development of robust statistical models.

We used multiple regressions to assess the relative weightage of each of the significant factors and developed and deployed robust statistical models to derive a mathematical representation of the set of correlated variables.

Don’t know where to begin? Request a free proposal to learn about Quantzig’s multiple regression analytics solutions and how they will drive tangible results for your organization.

Impact

Improved social media marketing ROI.

The client was able to increase revenue by designing an efficient advertising strategy for targeting the right social media sites and restructuring its advertisement spend strategies.

Recent Case Studies

Industries

Our advanced analytics expertise spans across industries, sectors, and functions, which enables us to deliver robust, agile solutions to all our clients. These are our core competencies, formed through years of experience.

Insights

Our free resources shed light on our extensive expertise and equip you with information to accelerate decision-making, growth, and innovation.

Talk to us
Talk to us