Media Company Improves Customer Acquisition by 38% and Reduces Costs by 37% through Data-Driven Marketing

Client Overview

A leading media company in Finland seeking to leverage data-driven strategies to enhance marketing effectiveness and acquire new customers.

Industry

Media and Publishing

Business Processes

Digital Marketing, Customer Segmentation, Data Analytics

Problem

The client faced challenges in reaching potential customers effectively through their digital marketing campaigns. Despite a broad online presence, their marketing efforts were not translating into desired conversion rates and new customer acquisitions:

  • Limited targeting accuracy led to marketing spend on less responsive customer segments.
  • High costs per acquisition made it difficult to justify larger marketing investments.
  • Ineffective engagement with passive customers, who had previously interacted but did not convert, reduced overall campaign performance.

The company recognized the need to optimize their digital marketing strategy by leveraging customer data to achieve more precise targeting and lower acquisition costs.

Solution

Data Design partnered with the client to develop a data-driven marketing strategy, focusing on enhancing customer segmentation and refining marketing efforts.

Analyze Customer Data

Analyzed historical marketing data, identifying customers who were more likely to engage with email and social media campaigns. Segmentation included factors such as location, primary interests, and past engagement scores.

Develop Lookalike Audience Profiles

Created lookalike audience profiles using Facebook and Google’s targeting tools, focusing on customers with similar attributes to the most engaged segments. A primary focus was on individuals in densely populated areas who showed an interest in the client’s media offerings.

Launch Targeted Campaigns

Launched pilot campaigns on Facebook targeting these lookalike audiences, using optimized content tailored to resonate with their interests, especially in regions where initial engagement was highest.

Optimize Campaigns in Real-Time

Monitored campaign performance, adjusting budgets and ad content based on early results to maximize reach and engagement. Real-time analysis allowed the client to refine messaging for better alignment with audience needs.

See also our other data insights case studies

Supplier Lead Time Prediction

Uses machine learning to accurately forecast supplier lead times, reducing delays and improving overall supply chain efficiency.

Purchasing Cost Estimation

Leverages historical data to predict supplier purchase prices, enabling better supplier negotiations and strategic sourcing decisions.

Promised Delivery Time Accuracy

Combines multiple data sources to predict delivery dates more precisely, enhancing customer satisfaction and reducing shipping disruptions.

Results

Looking for more impactful marketing?

Let’s harness the power of AI to optimize your campaigns, enhance customer targeting, and drive growth through precise data insights. Transform your marketing strategy and see the difference in customer engagement and ROI!

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