Success stories

Volkswagen Group (SEAT, CUPRA, Audi, Volkswagen)

MARKETING AND SALES GROWTH AND ACCELERATION

Customer Insights & Social Listening

Challenge

Companies face enormous challenges in the processes of customer attraction, interaction and loyalty. With this project, we have the challenge of improving each of these stages by improving customer knowledge through data extracted from social listening.

Solution

Cross internal information with extracted from external sources to modulate our advisory according to the needs of the company, offering 360 º coverage (business strategy, brand and reputation, product, services, communication…)

Result

Apply our business consulting knowledge to the ongoing analysis of the client’s voice across different digital spaces to bring our clients to an insight driven organizational culture.

Impact

+12

Millions of mentions analyzed (3 years)

+200

follow-up reports

managed reputation crises

The project with RocaSalvatella brings us the user's voice in the digital environment through insights that allow us to streamline decision making and create action plans based on them, thus fostering the culture of insight driven organization within SEAT.

Albert Fontanals, Digital Marketing & Social Media Manager at SEAT and CUPRA Spain

Transforming data into actionable insights that have an impact on our clients' business is the best reward in projects of this style.

Enrique Hidalgo, Social Listening Analyst at RocaSalvatella

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Next exit case

Food & Beverage

Beyond the possibilities that data offers to companies to optimize their internal processes and evolve towards improving the experience offered, they represent a lever to generate additional income. The value attributed to data is increasing, and for this reason, certain organizations are considering generating disruptive strategies that move away from their main activity and propose new ways of extracting profitability from the information they generate by their very nature.

Identifying business opportunities in an innovative field and, in many cases, unexplored, is a great opportunity to diversify sources of income and engage in a new business: the sale of value-added information. For this, the main tasks are:

Review the data that the company currently has.
Locate the company’s assets that allow data to be collected that provide valuable information.
Study the possibility of collecting new potential data from the internal resources that the organization has at its disposal or from the incorporation of technological elements.
List what other external data, whether open data or purchased data, may be interesting to combine with those that the company already has.
Analyze potential data and analytics clients who do not have access to them or who require help in generating insights, to combine different business models that add value to different interest groups.
Consider companies that offer similar solutions to find a differential value proposition.
Define the data and the level of treatment of those data likely to be commercialized, applying descriptive, predictive and prescriptive analytical models, being aware of the risks that it may entail and avoiding in any case damaging the main activity of the company.
Decide the best way to reflect the value of that data, whether it is sending the raw data, generating reports or creating dashboards with tables and graphs.
Ensure the fit of the new business model with the core activity of the company, considering both external agents and the internal culture of the organization around data.