Entries by

Marketing effectiveness in the new age of eCommerce

The ability to measure success is key to optimising any business strategy and marketing campaigns are no exception for the marketing effectiveness. Marketing effectiveness = the measure of your marketing plan to optimise efficient sales growth and ROI. This is essential to achieving positive short and long-term results. Marketing teams typically adopt as many marketing […]

Business Development Manager

Hiring Now!  If you have a genuine interest in machine learning technology, digital marketing, and e-commerce, and have skills in B2B lead generation, marketing communications, and business development, then we might be interested in interviewing you.  Metageni has built up a small but impressive client list, providing brands with machine learning and analytics expertise and […]

giffgaff case study- Becoming data-driven with Metageni

Telefonica brand giffgaff have worked with Metageni to develop data-driven analytics which combines and offline and online marketing, and cross-device attribution. The complete solution combined both offline media and online user journey data in a system of machine learning algorithms designed to predict sales. “This is an awesome piece of work. The feedback internally has […]

AO.com used machine learning for marketing optimisation

Online retail giant AO.com has a market-leading position supplying an expanding range of household appliances throughout the UK and Europe. Cross channel and cross-device marketing are of critical importance to their sales growth. To optimise marketing spend the team at AO chose to develop a multi-touch attribution (MTA) model which is based on machine learning, […]

Loveholidays -huge growth with machine learning attribution

Loveholidays.com is a rapidly growing online travel agency. Travel is a sector that has a major marketing attribution challenge, facing all of the challenges that multi-touch attribution (MTA) tries to address – High levels of cross-device use with research on mobile and purchase on desktop Long complex customer journeys with extended research before booking Competitive […]

Machine learning meets marketing analytics

In the past couple of years, we have been working with a genuinely game-changing technique, which combines evolutionary computing with machine learning, to produce much more accurate predictive models. This allows us to achieve levels of predictive accuracy using ‘white box’ algorithms, which were previously unobtainable except by ensemble and non-transparent methods. For marketing analytics, […]

Cross-device attribution challenge you can’t ignore

Attribution across devices is one of the major measurement challenges for digital advertising particularly affecting how mobile and upper-funnel activity is valued. Many choose to ignore the problem and plump for guesswork. Is this wise? And what are the best strategies for dealing with this key source of measurement bias in cross-device marketing? What exactly […]