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

Project Information

PayLead

Grant agreement ID: 864220

DOI

10.3030/864220

Project closed

EC signature date 27 May 2019

Start date 1 June 2019

End date 30 September 2019

Funded under

• INDUSTRIAL LEADERSHIP - Innovation In SMEs

Total cost

€ 71 429,00

EU contribution

€ 50 000,00

Coordinated by

PAYLEAD
France

Periodic Reporting for period 1 - PayLead (Smart Loyalty Program: Using Data Science to Inspire the Next Purchase)

Reporting period: 2019-06-01 to 2019-09-30

Summary of the context and overall objectives of the project

This Phase 1 project was executed from June to September, 2019.

Feasibility study in this Phase 1 project aimed at completing the validation of:
- commercial viability with key stakeholders;
- financial strategy definition
- IPR strategy of our solution.

For the commercial feasibility, the detailed objectives of this Phase 1 project were the assessment of strategic alliances with our stakeholders, and the internationalization strategy.
The key objectives of the financial feasibility were to determine final operational cost estimations, revenue projections, and profitability roadmap, but also to refine the final business model and pricing strategy and sharpen the detailed business plan.
In terms of IPR and regulations, this Phase 1 project aimed at the validation of the IPR strategy and updated competitors analysis, and the confirmation of regulatory and technical setup for tokenized assets.

Work performed from the beginning of the project to the end of the period covered by the report and main results achieved so far

The qualitative survey interviews were conducted by Business Crescendo – a French consulting company specialized in strategy and market analysis and business development support.
The survey was addressed to 30 individual representatives of the companies which were in our initially defined target group.

Main results achieved :
First of all, the qualitative survey helps us to put into perspective customers' expectations from our domestic market with international customers' expectations. As a result, key market drivers were more precisely identified and it also helps us to determine both (i) critical factor of success, (ii) and potential barrier of entry for our solution in banking and retail.

Progress beyond the state of the art and expected potential impact (including the socio-economic impact and the wider societal implications of the project so far)

Two analysis have been conducted in this Phase 1 project.

1/ First a PESTLE analysis, that highlights precisely all related Political, Economical, Social, Technological, Legal en Environmental factors.
2/ And a SWOT analysis, that precisely identifies PayLead's Strengths, Weaknesses, Opportunities and Threats.

Overall it results in a much more mature and global perception of our ecosystem, with a clear strategy on how to conduct next steps.

Figure 1. Factors which push a shift towards the omnibusinesses and stimulate the need for customer

Figure 2. Customers’ expectations regarding loyalty.

Figure 3. Competitors