Increase sales and improve operating performance by exploiting the full potential of new digital and data-based business models.
Develop customer engagement through a personalized omnichannel experience.
Make a positive impact on your digital and customer performance
PMP Strategy constantly strives to provide its customers with a high level of commitment, proven and constantly renewed expertise, and capitalization on best practices.
This is based on :
- the systematic mobilization of dual sector and business expertise to best meet the challenges of your sector
- strong expertise in digital performance and the optimization of the customer experience
- a pragmatic, actionable approach that works in partnership with your teams to ensure a seamless transition .
- an approach designed to highlight and maximize the impact on target business indicators and the ROI for each project
- end-to-end support, from design of the target vision to operational / go live implementation and measurement of results
- extensive experience in both B2C and B2B
Our offer
Digital strategy and transformation
PMP Strategy helps companies take advantage of the acceleration of digital and data technologies, and to succeed in their digital transformation:
- Building new e-commerce models: marketplaces, second-hand stores
- Design new revenue models: subscription, retail media
- Implement their data strategy
- Making acquisitions
We use collaborative approaches to build pragmatic digital and data strategies easily adoptable by management. Our highly structured methodologies enable us to produce a strategic framework in 6 to 8 weeks. We support you from start to finish, from operational implementation to launch.
Differentiated and personalized customer journeys, omnichannel, pro-active, human, autonomous and automated
Objective: improve customer satisfaction and NPS, gain 10-30% in operational performance.
PMP Strategy has developed specific methodologies to create a differentiating customer experience, to quantitatively analyze omnichannel performance and benchmark it against market best practices, and ultimately accelerate the transformation and deployment of the customer journey.
Our methods integrate technological innovations throughout the value chain (artificial intelligence & generative AI, natural language, augmented advisor, bots, …) to build personalized, pro-active, human, autonomous and automated customer relationships.
Customer relationship marketing strategy
Objective: contribute to sales growth through a relational marketing strategy aimed at strengthening customer commitment.
The methodologies developed by PMP Strategy are based on a segmentation of the customer base and the construction of a marketing strategy adapted to each segment/profile to generate greater value and knowledge of the customer.
We have developed a modular lifecycle approach to build a continuous relational experience, adapted to each key moment in order to increase customer engagement.
Voice of the customer
Objective: improve the sales performance of your distribution network.
PMP Strategy has developed a complete, operational solution for analyzing the voice of the customer, Google reviews, etc., monitoring the performance of your distribution network, and comparing your performance with that of your competitors at both the country and store level.
We develop our own NLP analysis engines, our own AI algorithms, and both standard and customizable analysis reports in business and decision-making visions to facilitate decision-making.
We also provide customized data in the form of C-Level presentations, raw data feeds for your BI tools, store – sector – region sheets, etc.
Adding value to data
Data has become a major corporate asset. PMP Strategy supports its customers in :
- Leveraging internal data to enhance performance
- Monetize data externally: data exchange platforms, retail media
- Exploiting the opportunities of Next Gen AI and GAI
With support from start to finish:
- Audit of the data ecosystem, definition of a data enhancement strategy and a business plan
- Identification and prioritization of use cases, data products
- Pilot implementation and feedback
- Implementation of data governance and deployment with data and business teams
