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Big Data for Humans

Powering Growth with Marketing AI

We harness the power of Artificial Intelligence to support growth for retailers around the world. From Luxury to C-store, The Customer Graph™ enables smarter data-driven business decision making and marketing that delivers incremental sales across all channels.

Rapidly generate a Customer-Centric strategy for today’s multi-channel customers.

What we do?

  • Transform data into money making insight
  • Support the Customer Strategy
  • Support Customer-Centric Marketing Plans
  • Optimise Marketing Efficiency

How we do it?

  • Data Science as a Service
  • Deliver ready to use insights and support hypothesis within weeks.
  • Power multi-channel performance
  • Measure multi-channel sales uplifts
  • Support best practice with experts
  1. Generate a Unified Customer View: using data from online and offline channels in a matter of weeks.
  2. Uses the Power of Networks: automate business intelligence and create dynamic individual lifecycle and behavioural models.
  3. Identify Opportunities: The Customer Graph™ identifies the Customers where the best sales opportunities exist.
  4. Predict the Sales Gains: Customer marketing opportunities are identified across Communities and can be prioritised by the type of opportunity, the number of impacted customers, or the targeted revenue.
  5. Launch campaigns: Target groups of customers are created directly from the insights view and can be pushed into any execution channel via our integrations.
  6. Measure Sales Increases: Measure the results from single/ multi-channel campaigns in real revenue terms across all channels.

By obtaining and connecting data across all online and offline touchpoints, marketers can effectively allocate budgets, optimise campaigns, and make informed cross-channel marketing decisions.

Generate a 2-5 year Customer Strategy, managing how many customers you must acquire and retain to hit plan.

Identify communities of customers who come back to repurchase and increase their LTV.

Use Customers previous purchasing behaviour to contact them based on their current lifecycle stage with the right content. E.G. reactivate lapsed customers with a promotion.

Use Customers previous purchasing behaviour to include the right products and content.

Assess how customers purchasing habits change and see how they migrate across communities.

Learn which channels you acquire the most customers and understand how they migrate to become multi-channel shoppers.

Understand which channel shoppers purchase in after receiving targeted communication.


Case Study Video:




Big Data for Humans was founded in 2014, not by a typical team of ‘tech guys’ but by a group of highly experienced retailers with decades of shop floor customer experience under their belts. They are on a mission to harness the power of big data to bring an unprecedented depth of insight into customers – not just as lines on a spreadsheet but as ‘humans’ with unique tastes, needs, life cycles and spending habits.

Big Data for Humans is an alumni of Techstars London and has a 40 strong team across four offices in London, Glasgow, Singapore and Malaysia. The business received $1.2 million investment funding in June 2015 and a further $3 million in July 2016. Clients include Air Asia, Tesco and Selfridges Ltd.

Big Data for Humans Ltd
Sheraton House,
16 Great Chapel St, Soho,
London W1F 8FL
Tel: +44 7951 700 669

Big Data for Humans Ltd
One Lochrin Square
92 Fountainbridge
Tel: +44 (0)131 357 4000

Big Data for Humans (APAC)
The Working Capitol
1 Keong Saik Road
Singapore 089109
Tel: +65 6805 4028

Big Data for Humans (APAC)
Unit 19-07-01 Wisma Tune
19 Lorong Dungun
Bukit Damansara
50490 Kuala Lumpur

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