Case Studies

We respect our clients privacy with their data analysis so the case studies below do not contain any client identifying information.

Entelligence has engaged with many differing businesses all with similar yet differing requirements. Although the case studies below are not exhaustive they show some of the types of engagements we have conducted. The culmination of some of these requirements resulted in the creation of the digital marketing dashboard. If you want a deeper understanding of your data then get in contact with us to see how we can help make your business more profitable

Entelligence Dashboard

The creation of the Entelligence online marketing dashboard has been instrumental in the successful delivery of profitable results for our clients. The updated design has allowed for data driven decisions and trend analysis on marketing objectives and metrics. The approach taken has been data led and business centric allowing decisions to be made and implemented quickly to ensure successful campaigns.

The dashboard has been developed to be delivered as either a self-managed or fully managed approach to digital marketing.

Marketing Persona Vs Online Data Persona

Through the use of advanced demographic reporting and segmentation, the Entelligence team was able to dissect the online customer for a national FMCG brand to better understand the customers they were attracting allowing them to compare and improve their online/offline marketing objectives.

This study undertook a deep dive through their big data to provide a demographic and business report based off the metrics that mattered to this business.

Online Persona Derivation

Entelligence employed a time delay analysis and segmented demographic groups to successfully map the online persona for a national brand to better understand who they were attracting online. This information provided a basis of comparison to their target persona's and helped them to align their strategic objectives with their online audience.

This analysis provided a baseline from which subsequent analysis could be compared and tracked over time.

Advertising Effectiveness

Using demographic groups, day groupings and session derivatives, Entelligence analysed a brick and mortar company’s data to determine the effectiveness of their traditional marketing campaigns.

The methodology employed provided a data driven approach using website metrics to determine the effectiveness of their traditional marketing allowing them to make future decisions on publications to advertise in.

This approach was different to the information provided by the marketing companies allowing this business to make objective decisions on marketing effectiveness and put more money in marketing that was shown empirically to be effective.

Business Metrics

In all of the companies Entelligence deals with, we use a scientific hypothesis driven methodology which is based on creating good data sets with baselines from which to measure a change in future performance. This baseline uses segmentation and metrics that align with the business objectives. Once this baseline is established and tracked over time, a deeper understanding of the true values of common metrics such as bounce rate and conversion rate can be made allowing a more accurate measure of the performance of the website.

Entelligence employs statistical analysis to provide insight into the amount of variation of metrics and if the metrics are moving within an acceptable range. If a large variation is identified, additional external factors can be analysed to determine their influence on the variance.

The businesses Entelligence engages with use these metrics to verify their data over time and ensure the business is operating within agreed boundaries. If the metrics start to deviate from these boundaries action can be taken. By using well defined and sanitised metrics based off business requirements ensures the business doesn't react to events caused by noise in the data or one-off occurrences.

This was particularly important for one client who was using standard analytics reporting to track business performance which was showing large fluctuations. This was causing reactive analysis to be done internally within the business to identify the cause. Through the use of segmentation of their defined business metrics this fluctuation disappeared allowing critical analysis to be done on relevant fluctuations.