Opendata, web and dolomites
  1. home
  2. trasparenza
  3. open h2020
  4. paylead

PayLead

Smart Loyalty Program: Using Data Science to Inspire the Next Purchase

Total Cost €

0

EC-Contrib. €

0

Partnership

0

Views

0
 Outcomes and results

 PayLead project word cloud

Explore the words cloud of the PayLead project. It provides you a very rough idea of what is the project "PayLead" about.

payment    loyalty    accuracy    programs    speed    decision    stakeholders    off    customers    habits    accurately    model    classifiers    merchant    historic    ing    ready    histories    basic    strategy    solution    alo    merchants    customer    tech    offers    bnp    linear    sources    big    deploying    engine    europe    2023    patterns    create    machine    spend    fragmented    2016    marketing    commercial    recommandations    reg    source    groupama    basis    propensity    consolidation    bank    finalized    flow    party    limited    performance    purchase    learning    algorithms    critical    scaling    clo    platform    sme    principles    personalized    owners    cross    paribas    external    13m    23m    validated    accessible    first    promotional    ebitda    relevance    competitive    paylead    credit    solutions    group    mass    smart    legitimize    bidding    french    debit    collected    valuable    card    insurance    checking    founded    transaction    intelligence    cards    payments    profiling    linked    revenue    coupon    prepared    market    data    nature    precise    prediction    centric   

Project "PayLead" data sheet

The following table provides information about the project.

Coordinator		 PAYLEAD 

Organization address
address: 24 COURS DU MARÉCHAL FOCH
city: BORDEAUX
postcode: 33000
website: n.a.

contact info
title: n.a.
name: n.a.
surname: n.a.
function: n.a.
email: n.a.
telephone: n.a.
fax: n.a.
 Coordinator Country France [FR]
 Project website http://www.paylead.fr
 Total cost 71˙429 €
 EC max contribution 50˙000 € (70%)
 Programme 1. H2020-EU.3. (PRIORITY 'Societal challenges)
2. H2020-EU.2.3. (INDUSTRIAL LEADERSHIP - Innovation In SMEs)
3. H2020-EU.2.1. (INDUSTRIAL LEADERSHIP - Leadership in enabling and industrial technologies)
 Code Call H2020-SMEInst-2018-2020-1
 Funding Scheme SME-1
 Starting year 2019
 Duration (year-month-day) from 2019-06-01   to  2019-09-30

 Partnership

Take a look of project's partnership.

# participants  country  role  EC contrib. [€] 
1    PAYLEAD FR (BORDEAUX) coordinator 50˙000.00

Map

 Project objective

Credit and debit card transaction histories are a valuable source of information about their owners’ purchase patterns. This information can be used to accurately address promotional offers, called Card Linked Offers (CLO). Today, CLO performance is limited due to the nature of accessible information from credit cards: it is often fragmented and and is not customer-centric as it does not take into account habits / historic of purchase to develop personalized recommandations. It is basic coupon with no intelligence. PayLead is a French SME founded in 2016 developing a new approach - called Account-Linked Offer (ALO®) - that allows all transaction data to be collected, not only bank card payments. ALO is based on cross-checking transaction data with several external sources making it possible to improve prediction relevance and accuracy. This allows us to create smart loyalty programs based on precise patterns of spend propensity. The bidding of offers is based on profiling and targeting resulting from customer payment flow analysis at both the bank level and external partners (merchants, third-party solutions). Profiling is done on the basis of big data principles through machine learning algorithms and non-linear classifiers. The first commercial partnerships have been finalized to allow speed, critical mass of customers, users and partners in order to legitimize the offer in a very competitive market in terms of marketing and loyalty solution. We have validated our model, developing a profiling and decision-making engine for merchant based on machine learning, and we prepared us for scaling. We have built our tech platform and we are now ready to take off through the consolidation of stakeholders. We are currently deploying our solution with a major bank (BNP Paribas) and a major insurance group (Groupama). In 2023 we expect the have €23M of revenue and €13M of EBITDA. This phase I project will support further the development of our go-to-market strategy in Europe

Are you the coordinator (or a participant) of this project? Plaese send me more information about the "PAYLEAD" project.

For instance: the website url (it has not provided by EU-opendata yet), the logo, a more detailed description of the project (in plain text as a rtf file or a word file), some pictures (as picture files, not embedded into any word file), twitter account, linkedin page, etc.

Send me an  email (fabio@fabiodisconzi.com) and I put them in your project's page as son as possible.

Thanks. And then put a link of this page into your project's website.

The information about "PAYLEAD" are provided by the European Opendata Portal: CORDIS opendata.

More projects from the same programme (H2020-EU.3.;H2020-EU.2.3.;H2020-EU.2.1.)

ERGOVIAkinematix (2018)

New wearable measurement devices for Industry 4.0 based on gaming motion-capture system

Read More  

VINOQUANT11SUPERPLUS (2019)

A digital based system for measuring, showing and regulation of the complexe system of wine feremtation with high precision via a Bluetooth -Refractometer, a Software and a Bluetooth Thermostat

Read More  

Click and Spray (2020)

A SIMPLER, CHEAPER AND EASIER TO RECYCLE AEROSOL CONTAINER

Read More