Clari RevDB | Turn Your Data into a Revenue Goldmine

Clari
21 Feb 202401:50

Summary

TLDRThe script discusses the challenges of fragmented, siloed data sources in legacy CRM systems, which hamper cross-functional visibility and cause revenue leakage. It introduces revDB, a new revenue database built specifically to support entire revenue teams with comprehensive, structured data. RevDB claims benefits including 95% forecast accuracy, 10% fewer slipped deals, and 67% greater sales productivity by surfacing insights, identifying risks, and boosting workflow efficiency.

Takeaways

  • 😟 Traditional CRM systems were not designed to support entire revenue teams, leading to data silos and poor cross-functional visibility.
  • 💡 Clari built the first purpose-built revenue database (revDB) to address these limitations and unify data across revenue workflows.
  • 📈 revDB cleans, formats and tailors customer data specifically for revenue teams to find insights.
  • 🤖 revDB uses AI and machine learning to analyze revenue workflows and customer data to identify revenue risks and better predict outcomes.
  • 🔎 revDB helps teams identify revenue leakage in processes and deals.
  • ✅ revDB customers saw 95% forecast accuracy, 10% fewer slipped deals, 67% more sales productivity.
  • 💰 revDB turns fragmented, untapped data into actionable revenue intelligence.
  • 🎯 revDB supports and enhances existing revenue cadences rather than requiring replacement.
  • 🤝 revDB brings together formerly disconnected teams and data sources (sales, marketing, etc).
  • 🚀 revDB helps revenue teams scale growth efficiently and effectively.

Q & A

  • What problem does the original CRM database have in supporting revenue teams?

    -The original CRM wasn't built to support an entire revenue team. Each department tracks different data in their own siloed tools, making cross-functional work and visibility difficult.

  • How can fragmented data sources impact revenue generation?

    -Fragmented data sources prevent companies from running revenue operations effectively. It causes revenue leakage due to lack of coordination and visibility across teams.

  • What does the revenue database Rev DB provide?

    -Rev DB provides the only database built specifically to support revenue teams' workflows and cadences. It cleans, formats, and tailors data to the revenue organization.

  • How does Rev DB train its AI?

    -Rev DB has a comprehensive database of revenue workflows to train its AI. It identifies meaningful patterns in workflows to help uncover revenue leakage and better predict outcomes.

  • What results have companies seen after implementing Rev DB?

    -Companies have seen 95% forecast accuracy, 10% reduction in slip deals, and 67% productivity boost for sales reps after implementing Rev DB.

  • Why can fragmented data sources cause revenue leakage?

    -Fragmented data prevents visibility across revenue processes. Issues can slip through the cracks undetected, causing deals to leak out of the pipeline.

  • How specifically does Rev DB tailor data to revenue teams?

    -Rev DB cleans and formats data, then structures it based on each revenue team's roles, workflows, metrics and processes to simplify their work.

  • What makes Rev DB's database comprehensive for AI training?

    -Rev DB's database includes extensive real-world revenue workflows, cadences and outcomes. This data breadth helps the AI uncover deeper insights.

  • How can Rev DB boost productivity for sales teams?

    -By structuring data to sales workflows, predicting outcomes with AI, and identifying revenue risks, Rev DB enables reps to focus on highest value activities.

  • What can companies do if they want to implement Rev DB?

    -Interested companies can schedule time with a Clary representative to learn more about Rev DB and Clary's full suite of revenue optimization tools.

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