Data buyers

Real-time European and US transaction data for Marketing and Advertising_

Gain access to real-time, anonymized consumer spend data from millions of debit and credit cards across thousands of brands to understand, target and build your marketing audience.

Use the powerful combination of consumer spend, location and demographic information to fine tune your personalisation and targeting.

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Extract actionable insights on consumer buying behaviour

Turn consumer intelligence into increased market share and revenue growth with access to the most comprehensive anonymized dataset of European and US banking and credit card transactions.

Use cases 

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Understand and plan

  • Understand the audience: who consumers are, how they spend and where to find them
  • Create custom audience segments based on spending behaviour, demographics and location
  • Identify high value and high frequency shoppers to target, as well as new acquisition opportunities  
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Target and convert

  • Target advertising to shoppers at named competitors
  • Segment by category and brand to personalize offers based on individual purchase history
  • Target products and services to audience segments by demographic factors e.g. location, age, income  
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Measure and improve

  • Measure impact on market share, cross shopping, churn, loyalty and acquisition
  • Identify and monitor consumer behaviours that will help predict future performance
  • Calculate sales lift and measure campaign success using spending history to identify changes over time across merchants and brands

CASE STUDY

Using Consumer Purchase Audiences:
Budget Supermarket Shoppers

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1. Create your audience

Obtain your brand-specific audience using card transaction history to find consumers frequently shopping at Lidl, Aldi and Costco.

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2. Refine your audience

Identify over-indexing postcode sectors in this segment to build the strongest audience of consumers.

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3. Activate your campaign

Enable this segment via preferred Demand-Side-Platform (Fable audiences are available via all major DSPs)

4. Measure results

Use transaction data to measure results and see a noticeable
uplift in market share.


The latest from the Insights Centre_

Fable’s data is trusted by many of the world’s most influential organizations including…

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nottingham

FAQs

It is sourced directly from banks and credit card issuers. We are proud of the long- term partnerships we have built with global banks, who trust us to handle, share and commercialize their data.

We serve data-sophisticated businesses and organisations wanting to see market dynamics, merchant performance and consumer trends in real time. This includes governments, central banks, institutional investors, consumer technology businesses and retailers.

While the organisations we work with are human-driven, the interface between our data and their operations is automated. We think of ourselves as supplying a raw material to AI-powered systems that can detect and act on the signals within the data.

We have over seven years of history for demand forecasting and trend analysis, and we cover the performance of a high volume of merchants including listed and private companies. Our data portfolio is constantly updated as we onboard new data partners from across the world. Please contact us for the latest information on global coverage and scale.

Our data covers Europe and the US. We are continuously growing the number of countries we cover and the amount of data we hold for each. For a detailed breakdown, please get in touch.

No. We have strict onboarding and quality assurance practices in place to ensure all our data at onboarding states is PD free. Our rigorous quality assurance processes ensure this remains the case.

Yes, we offer a 30day trial of our live feed and full history. Trials are available on allย products. Please get in touch to find out more.

Our proprietary data platform processes billions of consumer transactions, with AI embedded across the production process but always with human review at key checkpoints. AI supports onboarding of new datasets, product testing, data quality assurance, and anonymisation checks, helping us scale securely without compromising accuracy or compliance. We use AI to accelerate merchant discovery and ownership research, and to support the curation and quality control of training data behind our enrichment models.

Note: Consumer data is always anonymised before it enters our processing pipeline. We work with transaction-level patterns and trends, not personally identifiable information and our tools and workflows are designed to operate on this anonymised, aggregated data. We donโ€™t use client or consumer data to train third-party AI models.

Yes. Our products come with additional material to enable all technical teams and allow them to get the most out of our data.

In addition, our team of researchers, data scientists and analysists are always on hand to support with the onboarding of our data at the start, and analysis during evaluation.

We offer annual subscriptions to our data products.

We offer row level transaction data (Fable Signal), which provides the most granular view of the economy. ย We offer a daily live feed of individual transaction by individual user, formatted similarly to the rows on a credit or debit card statement.

We offer a range of different price points to suit all our clients depending on the sectors and geographies that most interest them.ย ย  Please get in touch if youโ€™d like to find out more.

 

Our data is typically delivered via AWS S3 and we are constantly reviewing other access methods so that our clients can access and get the most value out of our data in a way that suits them. Please get in touch if you would like to discuss your preferences for accessing our data.