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Campaign data prep down 68%, with marketers acting on insight directly

Campaign data arrived in a different format from every channel and client, and analysts spent their time cleaning it. Automated pipelines and validation rules now handle that first.

68%
less prep time
87%
better reporting accuracy
72%
of the team self-serving

The workflow

What replaced the manual work

  • Campaign data by channel
  • Client-specific formats
One pipeline
  • Connect
  • Clean
  • Automate
  • Share

Recorded once, re-run on a schedule.

  • Consistent campaign reports
  • Marketers acting without an analyst

Outcomes

What changed

  • 68% less time spent preparing campaign data
  • 87% improvement in accuracy through automated validation rules
  • 72% of marketing team members access and act on insights without an analyst
  • Consistent reports across every campaign, whatever the channel or client format

What they used

The parts of Mammoth involved

  • Data Engine
  • Automated validation
  • Scheduled refresh
  • Free viewers

More case studies

Starbucks · 20 days → hours20 days of report assembly, down to hours — across 17 countriesRethinkFirst · 10x50+ hours a month saved, and new analysts productive in under two weeksMUFG · 19KYC standardised across 19 countries, and a week of Excel became 20 minutes

Start with one source and one question.

That's how this deployment began too. Twenty minutes on the free plan is a fair test.

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