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

Projektinformationen

PayLead

ID Finanzhilfevereinbarung: 864220

DOI

10.3030/864220

Projekt abgeschlossen

EK-Unterschriftsdatum 27 Mai 2019

Startdatum 1 Juni 2019

Enddatum 30 September 2019

Finanziert unter

• INDUSTRIAL LEADERSHIP - Innovation In SMEs

Gesamtkosten

€ 71 429,00

EU-Beitrag

€ 50 000,00

Koordiniert durch

PAYLEAD
France

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

Berichtszeitraum: 2019-06-01 bis 2019-09-30

Zusammenfassung vom Kontext und den Gesamtzielen des Projekts

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.

Arbeit, die ab Beginn des Projekts bis zum Ende des durch den Bericht erfassten Berichtszeitraums geleistet wurde, und die wichtigsten bis dahin erzielten Ergebnisse

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.

Fortschritte, die über den aktuellen Stand der Technik hinausgehen und voraussichtliche potenzielle Auswirkungen (einschließlich der bis dato erzielten sozioökonomischen Auswirkungen und weiter gefassten gesellschaftlichen Auswirkungen des Projekts)

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