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.


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.


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.

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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.

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