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A tremendous amount of time and money is wasted within organizations because they (1) are not able to collect the data they need to make decisions (2) spend too much time solving the marketing data collection problem.

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The Data Collection Problem

Marketing teams are faced with one of the most challenging data collection problems of nearly an business unit:
  • There data is spread across many different platforms and reports
  • The data comes in many different formats
  • There is no standardization for how data is collected, organized, or stored (for event similar types of data sources)
Often times, marketing teams recognize the inefficiency of this problem and pull resource from data and analytics teams to drive towards an automated solution to this problem. While this is often initially successful, it typically leads to long-term maintenance and non-ideal, cross-team dependencies.

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Organizational Dependencies

These dependencies are often not sustainable and lead to a diversion of resources away from the core engineering and analytics problems their respective teams are trying to solve.

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Efficiency

Integrations drive efficiency via two mechanisms:
  1. Automated Data Collection: The integrations Rockerbox builds empower marketing teams to independently launch and onboard new platforms and data sources.
  2. Operational Efficiency: The integrations Rockerbox builds empower marketing teams to independently launch and onboard new platforms and data sources.