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Mergers & Acquisitions

M&A is often driven by the desire to provide new products or services to existing customers or conversely to expand audiences for existing products. But given the value of customer data during these sensitive transactions neither buyer or seller is willing to share data pre-close.

Both the suitability and quality of this critical asset is often judged through a small sample set or a segmented profile of the base - neither of which offer a complete match between the datasets. InfoSum offers a timely and secure solution.

View M&A Use Cases »

Connect and compare customer data effortlessly and inexpensively

Timely information

InfoSum allows M&A participating parties to gain an early understanding of the combined customer knowledge.

Retain ownership and control

Ownership or access to the data never moves from the data controller.

Audit the quality of data

Without sharing sensitive information. Companies can securely audit the quality and completeness of data.

Minimal technical investment

InfoSum's technology overcomes variations in data formats without either company needing to adapt source data.

Software as a Service

InfoSum doesn’t process the company’s data, only provides the technology platform.

GDPR compliant

No further customer consent is required for profiling activity.

Merger & Acquisitions use cases

Extend customer knowledge

  • InfoSum’s flexible identification process looks for optimal customer matches using numerous forms of personal data.
  • Third party datasets can be added to enable more accurate identity mapping and enhance profiling knowledge.

Identify commercial opportunities

  • Find the common attributes between the two bases and quantity ‘lookalike’ customers in the non-user group.
  • Understand how the seller’s unique customers differ from those that the seller and buyer share.

Evaluate media and data sets

  • Establish shared data fields and audit the completeness of both parties data and potential synergies of merging.
  • Compare contact details and methods of communication e.g. email, postal, mobile. Understand types of consent.

Quantify integration effort vs. reward

  • Translate data formats for both buyer and seller, and map data into a global schema, without a technical team.
  • Better understand technical challenges relating to customer data integration and potential customer impact early.

Safe data exchange

Once the seller has uploaded and normalised their customer data, they can invite any potential buyer to compare their datasets to understand the combined knowledge.

It may be that a 'try before you buy' approach with a number of companies enables a maximum sale price to be achieved. Plus, a seller can see the company which most appeals to their existing customers.