Most pipeline reviews run on the numbers that are easiest to pull, not the numbers that matter. After 19 years of building RevOps reporting architectures for B2B companies, TPG has narrowed the essential list to 12 metrics. Each one has a definition, a benchmark, and a specific HubSpot report to build. Build all 12 and your weekly revenue review runs on signal, not noise.
Definition: Total pipeline value in your CRM divided by your revenue target for the period.
Why it matters: Pipeline coverage tells you whether you have enough deals in progress to hit your number, accounting for the fact that you will not close everything in your pipeline. A 3:1 ratio means you need $3 of pipeline for every $1 of revenue target.
Benchmark: 3:1 minimum for most B2B sales motions. Enterprise sales with long cycles and lower win rates need 4:1 or higher. If you are running below 2.5:1 entering a quarter, you are almost certainly going to miss your number.
HubSpot report to build: Deal pipeline report filtered by expected close date within the current quarter. Group by deal stage. Sum deal amount. Compare to quota. Update this weekly—stale close dates make the ratio meaningless.
Definition: The percentage of new leads that reach Marketing Qualified Lead status within a defined time window (typically 30 or 90 days).
Why it matters: This metric tells you whether your top-of-funnel marketing is attracting buyers or browsers. A high lead volume with a low Lead-to-MQL rate means your targeting is off or your MQL definition is too loose.
Benchmark: Varies significantly by industry and lead source. For inbound-dominated programs in B2B SaaS, 10-25% is typical. For content-heavy programs with broad top-of-funnel content, 5-15% is normal. The benchmark that matters is your own trend—are you improving quarter over quarter?
HubSpot report to build: Contact lifecycle report comparing Leads created versus Leads that reached MQL status within 90 days of creation. Segment by original source to identify which channels produce the highest-quality leads, not just the highest volume.
Definition: The percentage of Marketing Qualified Leads that sales accepts and converts to Sales Qualified Leads (or Opportunities, depending on your stage model).
Why it matters: This is the primary alignment metric between marketing and sales. A low MQL-to-SQL rate (below 15%) signals that either marketing is sending unqualified leads or sales is not following up on good ones. Both possibilities require investigation.
Benchmark: 15-25% is strong for B2B. Under 10% indicates a systemic handoff problem. Over 40% may mean your MQL bar is too high and you are qualifying work that sales should be doing.
HubSpot report to build: Contact lifecycle report showing MQL date versus SQL date. Track the rate monthly. Add a secondary report showing MQL-to-SQL rate by lead source—this identifies which channels produce sales-ready leads versus which produce marketing metrics.
Definition: The percentage of Sales Qualified Leads that result in a formal opportunity being opened in the CRM.
Why it matters: This is the first metric that sales fully owns. A low SQL-to-Opportunity rate means sales reps are accepting leads and then not progressing them—either because the leads are not ready for a formal opportunity or because deal creation hygiene is poor.
Benchmark: 50-70% is the typical range for B2B with a defined qualification process. Below 40% is a signal to investigate whether SQLs are being genuinely qualified or just accepted to meet SLA requirements.
HubSpot report to build: CRM report tracking SQL-date to Deal create date. Add rep-level breakdown to identify whether the problem is systemic or concentrated with specific reps.
Definition: The average number of days from opportunity creation to closed-won.
Why it matters: Sales cycle length determines how much pipeline you need to maintain at any time. A 90-day average sales cycle means every deal you close this month was opened three months ago. If sales cycles are lengthening, you need to know before it shows up in a missed quarter.
Benchmark: Varies enormously by deal size and segment. SMB: 14-45 days. Mid-market: 45-90 days. Enterprise: 90-180 days. Benchmark against your own segments rather than industry averages.
HubSpot report to build: Deal report tracking close date minus create date for all closed-won deals, averaged by month. Segment by deal size tier, company size, and rep. Lengthening cycles are a leading indicator of pipeline health problems—surface them before they become revenue problems.
Definition: The percentage of opportunities that close won, segmented by the lead source that originated them.
Why it matters: Not all pipeline is created equal. A deal sourced through an outbound sequence from a target account list may win at 35%. A deal sourced through a generic content download may win at 12%. Knowing win rate by source allows RevOps to prioritize pipeline quality over pipeline volume.
Benchmark: Overall B2B win rates of 20-30% are common. Inbound demo requests typically win at 25-40%. Partner-sourced deals often win at 35-50%. Outbound cold pipeline wins at 10-20%.
HubSpot report to build: Deal report grouped by original source, showing closed-won versus total closed (won + lost) for each source. Run quarterly rather than monthly to have enough sample size in each source bucket.
Definition: The percentage of total open pipeline that was originated by a marketing activity (as opposed to outbound prospecting, partner referral, or executive relationship).
Why it matters: This is marketing's primary accountability metric in a RevOps framework. Marketing-sourced pipeline percentage tells you whether marketing investments are generating revenue contribution, not just awareness.
Benchmark: 30-50% marketing-sourced pipeline is a reasonable target for most B2B companies with active demand generation programs. Companies with heavy enterprise sales motions run lower (20-30%). Companies with strong inbound programs run higher (50-70%).
HubSpot report to build: Deal report filtered by original source attribution. Group by source type (marketing versus sales versus partner) and sum deal amount. Present as a percentage of total open pipeline. This requires clean lead source taxonomy—if original source fields are inconsistently populated, the report is unreliable.
Definition: The percentage of total pipeline where at least one contact associated with the deal had a marketing touchpoint before or during the sales process.
Why it matters: Marketing-sourced measures origination. Marketing-influenced measures contribution—deals that sales originated but where marketing activities (email, events, ads, content) supported the buying process.
Benchmark: 60-80% marketing-influenced pipeline is typical for companies with active demand generation. Low marketing influence suggests the sales team is operating in isolation from marketing programs.
HubSpot report to build: Use HubSpot's attribution reporting or a custom deal-contact association report. For each closed-won deal, identify whether any associated contact had a marketing engagement (email open, content download, event attendance) during the sales cycle. This report is most valuable when run against closed-won versus closed-lost to see if marketing touchpoints correlate with win rate.
Definition: Total sales and marketing spend for a period divided by the number of new customers acquired in that period.
Why it matters: CAC is the economic unit that determines whether your growth is sustainable. If it costs $50,000 to acquire a customer with a $30,000 average contract value, the unit economics require either a significant LTV contribution from renewals or a fundamental change in how you go to market.
Benchmark: CAC benchmarks vary too much by industry and segment to be meaningful without context. What matters is CAC trend (is it improving or worsening as you scale?) and CAC by segment (is enterprise acquisition cost-efficient relative to LTV?).
HubSpot report to build: This requires integration with your finance system. Pull total sales and marketing spend from your accounting system monthly. Divide by new customers closed won. Build as a 12-month trailing average to smooth seasonal variation.
Definition: Customer lifetime value divided by customer acquisition cost.
Why it matters: This is the single most important unit economics metric for any subscription or recurring revenue business. A 3:1 LTV:CAC ratio means every dollar spent acquiring a customer returns three dollars over the customer's life. Below 3:1, your growth model is not self-sustaining. Above 5:1, you are likely under-investing in growth.
Benchmark: 3:1 is the widely accepted minimum for SaaS and B2B subscription businesses. 4:1-5:1 is healthy and sustainable. Below 2:1 signals a structural problem in either pricing, retention, or acquisition cost.
HubSpot report to build: LTV requires retention data. Calculate average contract value multiplied by average customer lifespan (in years). Divide by your CAC figure. This is typically a quarterly calculation. Build it as a running metric tracked alongside pipeline health, not just at board meeting time.
Definition: Revenue retained from existing customers including expansions (upsells, cross-sells) minus contractions and churn, expressed as a percentage of starting-period revenue from those customers.
Why it matters: NRR above 100% means your existing customer base grows revenue even without new customer acquisition. It is the defining metric of product-market fit in recurring revenue businesses. Companies with NRR above 120% can sustain growth even with a slowdown in new logo acquisition.
Benchmark: 100% is the floor for a healthy SaaS business. 110-120% is strong. Above 120% puts you in the top tier of B2B SaaS. Below 90% indicates churn is outpacing expansion and the business will shrink without continuous new customer acquisition.
HubSpot report to build: Track revenue by customer at period start and period end. Categorize changes as expansion, contraction, or churn. Requires integration between HubSpot deals and your billing system. This is one metric where a BI tool or data warehouse often adds real value—HubSpot's native reporting makes NRR calculations require manual steps unless you have a dedicated revenue operations configuration in place.
Definition: The number of days from a new sales rep's start date to their first closed-won deal, or alternatively, to reaching 75% of quota for the first time.
Why it matters: Ramp time is a RevOps accountability metric because it is largely determined by the systems, processes, and enablement that RevOps owns. If new reps cannot find their accounts in the CRM, do not understand the deal stages, or lack visibility into marketing activity on their accounts, ramp time lengthens—and the cost is real.
Benchmark: SMB reps: 45-90 days to first deal. Mid-market reps: 90-120 days. Enterprise reps: 120-180 days. Anything significantly longer than these benchmarks is a RevOps and enablement problem, not just a talent problem.
HubSpot report to build: Track hire date as a contact property for sales reps in HubSpot (or sync from your HRIS). Report on first closed-won deal date per rep. Calculate average across cohorts. Compare cohorts over time to determine whether RevOps and enablement improvements are improving ramp speed.
"The best RevOps teams do not report metrics—they own them. If a metric is moving in the wrong direction, RevOps identifies why before anyone asks."
Building the RevOps Dashboard
Do not build a dashboard with all 12 metrics on one page. Build three dashboards: one for executive reporting (pipeline coverage, win rate, NRR, LTV:CAC), one for marketing ops (Lead-to-MQL, MQL-to-SQL, marketing-sourced and influenced pipeline, CAC), and one for sales ops (SQL-to-opportunity, average sales cycle, win rate by source, rep productivity). Each audience gets the metrics they are accountable for—not a wall of numbers that no one reads.
Talk to a RevOps Reporting Specialist
How often should we review these metrics? Pipeline coverage, deal progression metrics, and average sales cycle: weekly. Win rate, MQL-to-SQL, and marketing pipeline contribution: monthly. CAC, LTV:CAC, NRR, and rep productivity: quarterly. Daily reviews of lagging indicators add workload without insight. Weekly and monthly rhythms allow for meaningful trend analysis.
What is the most important single metric for RevOps to own? Pipeline coverage ratio. It is the leading indicator of whether the business will hit its revenue target, it requires cross-functional data quality to be accurate, and it surfaces problems 60-90 days before they become revenue misses. If RevOps can produce a reliable pipeline coverage ratio, every other metric follows from the same data foundation.
What do we do if our HubSpot data cannot support these reports? Data cleanup comes before reporting. If your original source fields are empty on 50% of contacts, your marketing attribution reports will not be trustworthy. If deal stage definitions are applied inconsistently, your sales cycle calculation will be distorted. Before building any of these reports, audit the underlying data fields for completeness and consistency. Most companies need 6-12 weeks of data cleanup before they can trust the output.
How do these metrics change at different company sizes? The metrics themselves do not change—they are universal. The benchmarks and the weighting of each metric in executive reporting shift as you scale. Under $10M ARR, pipeline coverage and sales cycle are the critical metrics. At $50M-$100M ARR, NRR and LTV:CAC become as important as new business metrics. Above $200M ARR, rep productivity and time-to-productivity metrics get significant board-level attention because headcount costs are material.
The Pedowitz Group | pedowitzgroup.com | Revenue Marketing Experts Since 2007