AI Data Analyst
for RevOps
Instant answers on pipeline health, forecast accuracy, and sales team performance — so you can run the revenue engine, not just report on it.
Every revenue question, answered on demand.
Pipeline coverage to rep performance — ask in plain English and get the answer your CRO needs right now.
Know your pipeline before your next call
Get a real-time view of where every deal stands — by stage, owner, segment, and close date. Identify at-risk opportunities and coverage gaps without pulling a CRM report.
- Pipeline coverage ratio and weighted forecast at a glance
- Deals stuck in stage for 30+ days surfaced automatically
- Side-by-side comparison across reps and territories
Forecast you can actually stand behind
Stop building forecasts in spreadsheets. Ask Sequel for commit vs best-case vs pipeline by segment, track how your forecast changes week over week, and align your team on a single source of truth.
- Commit, best-case, and pipeline breakdown in seconds
- Compare forecast accuracy against actuals historically
- Track NRR, GRR, and expansion revenue trends
Built for RevOps teams
Pipeline Health Monitoring
Get a live view of pipeline by stage, owner, and close date — and instantly spot deals at risk of slipping.
Deal Risk Signals
Identify stalled opportunities, missed follow-ups, and at-risk accounts before they fall out of the forecast.
Sales Cycle Analysis
Compare time-to-close across segments, deal sizes, and rep cohorts to find where time is being lost.
Revenue Forecasting
Ask for forecast accuracy against quota, track NRR and GRR trends, and build confidence in your revenue projections.
Expansion & Churn Tracking
Monitor upsell, cross-sell, and churn metrics side by side to understand net revenue movement at a glance.
Rep Performance
Compare quota attainment, win rates, and activity metrics across your sales team — identify top performers and coaching opportunities.
Territory Analytics
Measure pipeline and revenue by territory, segment, and vertical to allocate resources where they'll have the most impact.
Win / Loss Analysis
Break down win and loss reasons by rep, deal size, and competitor to understand exactly what drives your close rate.
Frequently asked questions
We have complex Salesforce data with custom objects — can Sequel handle that?
Yes. Sequel connects to the database or warehouse where your Salesforce data lives — whether synced via Fivetran, Stitch, or a custom ETL — and reads your schema automatically, including custom objects and fields. You can ask about any object or relationship in plain English and Sequel will construct the right query.
How do we prevent the AI from giving wrong pipeline numbers to leadership?
Sequel always exposes the SQL it ran so you can verify what it queried before sharing results. You control which tables and views it has access to, so you can point Sequel at validated, clean reporting tables rather than raw CRM data. This means the numbers come from your own source of truth, not AI estimation.
Can Sequel replace our CRM reporting tool entirely?
For ad-hoc questions and exploratory analysis, yes — most RevOps teams find they spend less time in static CRM reports once Sequel is connected. For polished, scheduled dashboards shared with the whole sales org, many teams keep their existing BI layer and use Sequel to answer one-off questions and investigate anomalies.
Our CRM data is often dirty and incomplete — how does Sequel deal with that?
Sequel queries exactly what's in your database, so if data is missing or inconsistent, the results will reflect that. The advantage is that you can ask Sequel to help you find the gaps: 'Which opportunities are missing a close date?' or 'Which accounts have no activity in 60 days?' — turning data quality questions into actionable cleanup tasks.
We use multiple CRMs and data sources — can Sequel join them?
Yes. If your data sources are connected to the same warehouse or database, Sequel can join across them in a single query. If they're separate databases, you can connect multiple sources and query each independently. Cross-source joins work wherever your data is already unified.
How does Sequel help with forecast accuracy, not just pipeline reporting?
Beyond showing current pipeline, Sequel can compare historical forecasts against actual closed revenue, calculate the average slippage rate by segment or rep, and show how pipeline coverage has changed week over week. This lets you identify systematic forecast biases and course-correct before the quarter ends.
Can individual reps use Sequel, or is it just for RevOps managers?
Both. Reps can ask questions about their own pipeline — 'Which of my deals are most at risk?' or 'What's my average deal size this quarter?' — while managers get team-level views and forecast analysis. Sequel's permissions model lets you control which data each user can query.
Your CRO will thank you
Connect your CRM data and get pipeline answers in under two minutes.