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Gabriel Hughes2020-09-09 20:36:452020-09-22 16:30:25Metageni and AO.com announced as finalists for the 2020 London eCommerce AwardsSolutions
Metageni is a London based provider of expert data analytics using AI to help companies grow online, founded by ex-Google Attribution inventor & pioneer, Gabriel Hughes PhD.
Our solutions include a unique approach to machine learning (AI) based data-driven attribution, custom multi-touch attribution (MTA) models, a cross-device attribution system and integrated econometrics with market mix modelling for offline attribution, as well as predictive conversion rate optimisation (CRO) and even bidding. Our results and client case studies prove that custom machine learning adapted to your data and business challenges is your best choice for data-driven marketing, ecommerce efficiency and online sales growth.
How we work
Expert collaboration + data analytics + custom AI machine learning
- Attribution and Conversion models are most accurate when customised and trained on your data: collaborate with experts to get it right.
- AI machine learning and predictive analytics has huge potential to leverage your data for growth, but must be deployed with care and expertise.
- We deliver results within 6 weeks of data access, with 3 to 9 months deployment to your cloud or production stack.
- Model quality first: transparent custom algorithms, trained on your unique data, adapted to your business needed, for maximum accuracy and impact.
Case studies and testimonials
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Gabriel Hughes
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Gabriel Hughes2020-09-09 20:36:452020-09-22 16:30:25Metageni and AO.com announced as finalists for the 2020 London eCommerce Awards
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Gabriel Hughes2019-09-30 10:23:282020-02-05 10:48:22Metageni help giffgaff become data-driven
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Gabriel Hughes2019-06-06 01:00:452020-02-05 10:47:09How AO.com used machine learning for marketing optimisation with Metageni
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Gabriel Hughes2019-06-05 13:23:352019-06-17 11:12:20Huge growth follows machine learning attribution at LoveholidaysMany companies struggle to analyse customers and marketing ROI, due to a shortage of data science skills, outdated and irrelevant models and weak underlying data.
As a result they miss out on the huge opportunity of machine learning and data driven decision making, and face rising aquisition and retention costs.
Insights
Research, opinion and advice
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Gabriel Hughes2020-09-21 12:28:152020-09-22 09:09:30Marketing effectiveness in the new age of eCommerce
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Gabriel Hughes2018-11-19 21:26:532020-02-10 17:21:48Why do companies waste millions on marketing?
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Gabriel Hughes2018-11-13 17:46:232020-02-10 17:22:42Cross-device marketing: the attribution challenge you cannot ignore
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Gabriel Hughes2018-09-03 13:29:332020-02-10 17:23:25Build your own attribution model with machine learning
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Gabriel Hughes2018-09-03 13:05:272020-02-10 17:24:03Just how bad is your analytics data?
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Gabriel Hughes2018-09-03 12:09:192020-02-10 17:24:28Your attribution model is unique
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stuart
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stuart2015-10-23 16:02:202020-02-10 17:25:06Find insight from the user journeyMachine Learning for Marketing – free PDF
Getting started on building your custom attribution model with the latest methods.
Get in touch
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