Evolutionary machine learning meets marketing analytics
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In the past couple of years, we have been working with a genuinely…
What we do
Metageni is a London UK based provider of marketing optimisation expertise & technology, led by ex-Google Attribution inventor & pioneer, Gabriel Hughes. We help you use your data to make smarter marketing decisions. We collaborate with our clients’ organisations, helping marketing & data science teams create integrated on & offline investment analytics solutions for optimising sales growth.
Uniquely, we enable our clients to create and implement their own state-of-the-art machine learning algorithms, fully tailored to their unique business challenges. We enable our clients to use these algorithms for dynamic marketing intelligence, visualisations & recommendations driving peak marketing ROI (Return On Advertising Spend).
Supporting in-house marketing analytics
- Develop your own attribution model for optimum marketing ROI
- Smarter decisions: find sales drivers and actionable opportunities
- Plus optimal paid search bidding at keyword and device level
Solutions
We will create the right solution for you with options in multi-touch marketing attribution and search bid optimisation
Your custom attribution algorithm in the cloud
Machine learning trained exclusively on your data.
Digital Attribution
Highly accurate custom multi-touch attribution for marketing efficiency and sales growth, using machine learning trained exclusively on your data
Marketing Mix Modelling
For integrating offline channels we produce classic econometric market mix modelling to analyse and link TV, outdoor and print media to digital attribution, leveraging additional modelling and reconciliation
Cloud data integration
Embedded within your cloud analytics linking to all major cloud providers and analytics APIs
Cross device attribution
Attribution by device leveraging your own tracking and our cross device inference model
Sales growth actions
Reports highlight ROI optimisation opportunities with models which predict sales
Store sales
We can attribute offline store level sales to marketing as part of an integrated custom approach
Digital channel ROI
Attribute to custom digital channel groups e.g. social, affiliate, search, email and display
Live custom reports for all major visualisation tools
A library of template dynamic reports for all major visualisation engines plus additional reports custom to your business
Display & Social Impressions
Analyse impressions as well as clicks for a full multi touch model replacing faulty last click and view through attribution
Optimal channel mix solution
Constrained scenario modelling to work out a realistic channel budget allocation which will achieves more sales for the same total budget
Call centre sales
If you track call centre sales, we can attribute these just as well as ecommerce transactions, including the of offline marketing
‘What if’ spend analysis
Reports to understand for each channel how different changes in spend will yield different changes in sales, using your predictive model
Custom build with insights in weeks – you own the final solution
Search bid optimisation
Machine learning for keyword bid recommendations.
Profit maximising bid
Keyword and device level optimum bid + modifier for maximum profit on daily basis
Attributed click value
Link multi touch attribution to your search bidding to maximise efficiency and sales growth
Non search channel influence
If your attribution model includes other channels then these will shape the final modelled solution
Device + modifier
We model by device and incorporate device bid modifiers
CTR
Search click throughs used to define click value
Conversion Rate
Apply search conversion rate and attributed sales value throughout the whole conversion funnel
Average position
Modelling how bids affect position, actual CPC and clicks, to fine tune the bid decision
Impressions
Modelling how search impressions and queries drive clicks and affect optimal bid decision
Impression share
Modelling how search impressions share and competitor behaviour drive clicks and the optimal bid decision
Seasonality
Modelling historic patterns in seasonality as drivers of search value and optimal bid decision
Day of the week
Modelling how day by day behaviour patterns affect search value and optimal bid decision
About Metageni
Your customer journey algorithm
Metageni was founded in 2015 by Gabriel and Amit with the aim of creating a new kind of analytics capability serving the needs of senior decision makers. With over 20 years experience in quantitative analytics research, we believe we are at a turning point where intelligent analytical systems can unlock the full value of big data.
Dr. Gabriel Hughes
Founder and CEO
Before founding Metageni, Gabriel was SVP of Analytics for two years at Elsevier, the world’s largest science publisher, and before that was Head of Attribution at Google for six years. Notably at Google he developed and patented the first attribution modelling solution deployed in Google Analytics, and worked with business leaders to make sense of cross-channel advertising data to grow sales. Gabriel was previously Global Solution Development Director at TNS Plc (now WPP / Kantar) building end to end online market research solutions. Gabriel has a PhD in Applied Economics from Imperial College, London.
Amit Maheshwari
Founding Partner and COO
Amit is an MBA research, analytics and computer science expert. Prior to founding Metageni, he has held leadership roles at Opinion Health and Kantar. Amit is passionate about Data Science and loves to turn data into meaningful actionable insights. He strongly believes that the success of a project can only be measured by the success of its client’s business. Amit helps Metageni clients explore better ways of doing things and is always eager to embrace new technological developments that have the potential to improve business performance. Amit has an MBA from Manchester Business School and a degree in Computer Science.
Most organisations cannot make sense of their marketing data and so only achieve a fraction of their full potential. Machine learning has the power to accelerate business growth but only if applied intelligently, and with the decision maker in mind.
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