Chief Revenue Officer (CRO)

Decisions You Can Trust. Insights You Can Explain.

Challenge

As a CRO, you’re responsible for driving revenue across acquisition, retention, and monetization — but the data needed to guide those decisions is often scattered, delayed, or unreliable.

  • Questions go into a queue for analysts
  • Dashboards break when models or metrics change
  • Revenue drops get spotted too late
  • You can’t always explain the “why” behind the number

You need speed and trust — not just data, but clarity.

How Walt Helps

Walt gives you a natural language interface to ask revenue-impacting questions and get fast, context-aware, verified answers, grounded in the latest data definitions. Behind every response is an agentic system working to ensure the answer is accurate, explainable, and reliable — no matter how your data changes underneath.

What Walt’s Agentic System Does for CROs

Capability How It Helps
Natural Language Interface Ask business questions like “Why did ROAS drop last week?” and get answers in seconds — no dashboards or SQL needed.
Verified Metrics & Definitions Every metric is backed by context-aware logic aligned with how your business defines it — no misalignment between teams.
Anomaly Detection & Trend Analysis Walt surfaces shifts in performance and suggests possible explanations — helping you diagnose revenue changes early.
Change Awareness When underlying metrics, models, or data definitions change, Walt flags the impact — keeping your insights safe from silent errors.
Cross-Team Visibility Ensures Sales, Marketing, Finance, and Product operate from the same accurate, explainable view of the numbers.
Sample CRO Workflow

Scenario:

Paid ad performance dipped 15% week-over-week, and ROAS dropped — but you don’t know if it’s spend inefficiency, discount leakage, or attribution changes.

With Walt:

  • You ask: “Why did ROAS drop last week?”
  • Walt instantly pulls campaign, spend, conversion, and margin data
  • It explains: “Discounting behavior increased by 30%, lowering net revenue per conversion. Attribution model also changed mid-week in Meta Ads.”
  • Walt shows a side-by-side chart of before/after impact and tags all affected metrics.

• Answer in seconds

• Root cause explained

• Revenue leakage identified and mitigated