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A Guide to Tracking the Demand Generation Metrics That Matter

Teams responsible for measuring marketing performance should be careful not to mistake movement with effectiveness. Growth is measured by how often leads turn into revenue, not just by the volume of leads produced. That’s where understanding the concept of demand generation metrics is important. When KPIs and performance dashboards reflect SQOs, pipeline contribution, win rates, and CAC payback, you’re measuring both the volume of activity, as well as the net impact. 

Those metrics connect marketing and finance, as they show how demand ultimately turns into cash flow and profits. In this guide, we detail how to define each metric, conduct necessary computations, and ensure teams are in alignment with growth targets. 

Make Demand Generation Metrics Revenue-safe: the Four that Matter Most

Revenue-safe metrics should tie directly to cash flow to ensure they stand up to scrutiny from finance leaders. Show how demand creates a pipeline, and how that pipeline ultimately generates revenue. While many metrics can be selected, four have been time-tested to indicate the effectiveness of a demand engine: SQOs, pipeline contribution, win rates, and CAC payback. Collectively, they measure quality, efficiency, and the net impact on your company’s bottom line. 

SQOs are a measure of how well aligned marketing and sales teams are when it comes to qualified intent. Pipeline contribution is an indicator of the value created by marketing. Win rate measures the effectiveness of your targeting. Finally, CAC payback is an indicator of financial health based on how long it takes to break even. 

Teams wanting to implement this quickly but don’t want to go it alone can also enlist the help of a B2B Demand Generation Agency to ensure a streamlined process. In the sections that follow, we’ll detail and define each of these metrics, provide formulas, and provide insight on how they can be calculated and tested to suit your needs. 

Sales Qualified Opportunities (SQOs)

SQOs are the beginning of where real revenue potential is seen. An SQO means there is a validated fit between a buyer’s needs and the product being offered, with a next step having been scheduled. Measure your SQO rate here by taking your SQOs and dividing by SQLs. For instance, 100 SQOs out of 200 SQLs gives us a 50% rate. You can then take this and compare it against other channels to identify where leads are more likely to convert. 

Review three quarters’ worth of data and identify underperforming channels. Target a boost of 5 to 10 points of improvement for these non-winners. Utilize mutual action next-steps to ensure teams have ownership and accountability. Lastly, be cognizant of common pitfalls such as pushing weak fits forward in the process simply to build a pipeline. Our discussion on what is demand generation provides more context on how qualified leads and intent signals affect the bigger picture of a funnel.  

Pipeline Contribution (Marketing-sourced and Influenced)

Pipeline contribution is where activity is converted into revenue, as it shows how marketing-sourced and marketing-influenced accounts advance through the B2B Demand Generation Funnel. Marketing-sourced pipeline is the value seen from a first touch by marketing, the ratio of which can be calculated by taking the value of opportunities and dividing it by the total pipeline created. For example, if $5 million in pipeline was created in the last quarter, with $1 million resulting from a marketing first touch, that would give us 20% that was marketing-sourced. 

Marketing-influenced pipeline is the opportunities touched by marketing before qualifying them. This ratio can be calculated by taking the value of opportunities with a marketing touch pre-SQO, and dividing it by the total pipeline created. If $4 million had any marketing touch in the prior example, we would have a ratio of 80% influenced. 

Both metrics are important, but use the marketing-sourced pipeline as your budgeting north star. It can also be helpful to track pipeline coverage by looking at the open pipeline and dividing it by the bookings target. Above all else, though, avoid the temptation to credit late-stage touches to make KPIs or metrics appear more beneficial. Clean, unbiased data can give finance leaders transparent insights into marketing investments and their contribution to revenue generation.  

Win Rate (Opportunity-to-close)

A high win rate is indicative of a high-quality pipeline. Win rate is calculated as Closed-won divided by (Closed-won + Closed-lost) for the time period. Win rates can serve as indicators of where to allocate your budget. If, for instance, you see that 32 of 120 paid search opportunities close versus 24 of 40 partner deals, you can conclude that more of your budget should be shifted to the higher-converting channel. 

Track win rate by source, segment, product, and deal size. This can help identify trends and common challenges that need to be overcome. Review stage-level losses weekly, along with an evaluation of the underlying reasons. Lastly, avoid combining new business with renewals or upsells and ignoring how long it takes to close deals. Measured properly, win rate can become the strongest indicator of whether you’re targeting the right market. 

CAC Payback (Months)

CAC payback provides insight into financial durability by looking at how long it takes to recoup costs spent to acquire a customer. This can be measured by taking CAC and dividing it by the average monthly gross margin per new customer. For SaaS, use ARPA multiplied by gross margin percentage. 

For instance, given a CAC of $6,000 and an ARPA of $800, you’d arrive at a margin of 75%. The payback period would then be calculated as $6,000 divided by the product of $800 and 75%, for a final figure of 10 months. That’s a sign of a healthy and efficient marketing engine, as the break-even is 10 months for every new customer obtained. With that said, time frames are relative. SMB motions can regularly achieve sub-12-month figures, while enterprises typically see 18 to 24 months. Following a structured SaaS Demand Generation Strategy is instrumental in further reducing payback periods. 

Ground your calculations on gross margin rather than revenue, and remember to include all variable costs. Common examples include salaries and overhead. Factor in seasonality as figures can be inflated if omitted. Remember the importance of CAC, as it is frequently evaluated by CFOs and finance leaders because it informs them of how team efforts are translating into cash flow. 

Build a Dependable Measurement System: Definitions, Data, and Attribution

Clean data is a prerequisite for accurate reporting. Reliable tracking and consistency of definitions are a must to ensure demand generation metrics are not misleading. Every field in your CRM or MAP should tell the same story among teams. You can use frameworks from HubSpot or Winning by Design for pipeline velocity and structuring lifecycle stages, as they’re both proven models that work well. 

Success here is measured by whether finance teams can rely on the four core metrics. Outline who owns each metric, how the data is captured, update responsibilities, and how exceptions to standard processes are handled. This allows for quicker decision-making and eliminates the possibility of internal debates on which team has more accurate figures. 

Standardize Lifecycle & Stage Definitions

Clarity across teams is fundamental to having trustworthy metrics. Create a simple one-page glossary laying out each stage with the relevant exit and entry criteria. Stages should include lead, MQL, SQL, SQO, opportunity, and closed-won/lost. Each stage should cover ICP fit, verification of needs, expected timelines, and next steps to encourage proper measurement of progression, rather than the illusion or assumption of advancement. 

Utilize the RACI model to ensure ownership and accountability. RevOps should maintain definitions so that Demand Gen and SDRs can consistently apply them. Sales then verifies the quality of leads, with an executive sponsor, such as a CRO or CMO, enforcing adoption. Implement required field validation tools to avoid incomplete data during handoffs, along with a mutual action plan template to standardize expectations. Consistency here establishes trust in the metrics being tracked and can eliminate confusion that may cause setbacks. 

Instrumentation and Data Integrity

Consistency in how data is captured is key to ensuring trust and reliability. Utilize timestamps, and ensure the presence of fields for Created Date, Date Entered Stage, Time in Stage, Primary Source, Channel, and Campaign. Without them, you won’t be able to feed data into key metrics like CAC and win rate accuracy. 

Use tools like a UTM naming guide, nightly validation jobs, and exception reports to more easily highlight and identify missing, deleted, or critical data. Using a sandbox model to test items is also helpful before going live. Be thorough in implementing each stage to avoid common pitfalls such as missing timestamps, campaign fields being overwritten, and the presence of free-text source fields. 

Attribution that Supports Decisions (Not Debates)

Attribution should allow teams to make smarter investment choices. First-touch attribution should be used to determine which channels create opportunities, whereas multi-touch attribution should be used to determine what moves deals along once they’ve been identified. This distinction is discussed in greater detail in Demand Generation vs. Lead Generation. Allow leads to self-report where they made the initial discovery. Once completed, you can then compare SQOs, win rates, CAC, and payback on a channel level. Based on that evaluation, determine where spending should be directed. 

Here, Marketing should run models and document nuances and downsides. Finance teams should verify totals to ensure pipelines don’t appear to be artificially inflated. Results should be reviewed regularly, but don’t make the mistake of switching models too frequently. Perfection is not the goal. Rather, it is to establish the correct direction. 

30‑Day Steps Playbook to Operationalize Revenue‑centric Measurement

Using metrics as the foundation for a working system can be done in just one month. With proper structure, you can have revenue-ready reporting by arranging it into the following four weekly sprints:

  • Week 1: Get all teams aligned on definitions, as well as finalizing entry and exit stage criteria for lead, MQL, SQL, SQO, opportunity, and closed-won/lost. 
  • Week 2: Tidy up your data. Audit your CRM or MAP for missing fields, check for broken UTMs, and ensure each stage has timestamps to ensure velocity can be accurately measured. 
  • Week 3: Build dashboards along with views for SQO rate, win rate, CAC payback, and pipeline contribution. To measure how quickly revenue moves through, utilize HubSpot’s sales velocity formula: number of opportunities x average deal size x win rate, divided by length of the sales cycle. 
  • Week 4: Run tests and finalize your metrics and models. Evaluate the consistency of reporting across systems. By the end of the first month, your system should be capable of capturing and producing data that can reliably guide revenue decisions. 

QA & Common Pitfalls Checklist

Before you consider everything completed, a final quality check should be done. Verify all definitions are consistent, have been acknowledged by each department, and have been formally approved. Check that CRM fields are locked so that they can’t be accidentally changed. Verify timestamps are present and functioning, and also test your tracking links. 

Avoid common mistakes like overlooking executive leadership approvals or spending too much time trying to perfect attribution this early on. Remember, perfection is not the goal. Finally, make sure to separate new business from existing renewals. Completing a final quality check run-through to ensure your metrics work as intended can give teams a greater degree of confidence in being able to rely on and interpret the data they see. 

Optimize Spend with Cohort Views: Channel Efficiency, Velocity, and Mix

Optimizing spend should be about putting money where it will return revenue quickly. Cohort views allow you to see which groups consistently generate SQOs that close fast and also pay back quickly. Don’t judge performance based solely on volume. Also look at factors like SQO rates, win rates, and CAC payback. 

Pipeline velocity is another key metric to calculate, evaluate, and track. It’s an indicator of how quickly deals move through the funnel. Take the number of qualified opportunities, multiply it by average deal size and win rate, then divide the resulting figure by sales cycle length. With all of these insights, leaders can not only allocate budgets to channels capable of generating the most revenue, but they can also cut costs by minimizing spend in avenues that have lower win rates. 

Evaluate Channels by SQO Rate, Win Rate, and CAC Payback

When evaluating channel performance, remember that high volume doesn’t necessarily mean it’s performing well. Having lots of leads that don’t convert means very little. Instead, rank each channel by SQO rate by taking SQOs and dividing it by SQLs. Then evaluate your win rate by taking Closed-won and then dividing it by the sum of Closed-won and Closed-lost. Finally, review CAC payback to determine overall efficiency by taking CAC and dividing it by the product of ARPA and Margin. Use a scorecard to more easily view and track traffic movement within the funnel, and notate changes in a monthly memo. 

Use Pipeline Velocity to Find Bottlenecks and Accelerate Revenue 

Pipeline velocity is a marker of how efficiently you generate revenue. See how much revenue is generated daily by taking the quantity of qualified opportunities, multiplying it by average deal size and win rate, then dividing the resulting figure by sales cycle length. For example, if you have 120 opportunities x $20,000 average deal size and a win rate of 25%, a 90-day cycle would show that you’re earning $6,667 per day. Shortening the sales cycle to 75 days boosts daily revenue to $8,000 without any increase in spending. 

Looking at it through this lens helps you identify bottlenecks, whether it’s slow follow-ups or late-stage delays. A stage-aging heatmap can help pinpoint such delays. Other tools that can be useful to boost these metrics include a mutual action plan template to streamline closings, as well as a pre-sales checklist to speed up legal review and approval. 

Executive Reporting: Translate Metrics into Budget, Targets, and Hiring

Every month, your executive leadership team should be briefed on each of the core metrics: SQOs, pipeline contribution, win rate, and CAC payback. Dedicate one slide for each. These metrics should address the issue of how marketing performance is contributing to budgeting items such as revenue and expenses. Tangible steps should be discussed, such as reallocating portions of the budget toward channels with higher win rates or faster payback periods. 

Slides should be kept simple while still addressing key items such as trends and financial impacts. Utilize visuals and touch on measurable outcomes. Ultimately, a board-ready report should address three main questions. Are we on track to hit revenue targets? What actions generated the most revenue? And what area should be next on the list for investment? 

Set Pipeline and Coverage Targets Backed by Win Rate

To set pipeline and coverage targets, work backward by starting with your bookings goals. For instance, if you want to hit $5 million in quarterly bookings with a 25% win rate, you’d need to target $20 million in pipeline. If you have a 90-day cycle, it means that all of that pipeline must be generated by the end of the first month to meet your quarterly bookings goal. You can then assign responsibility to different teams, such as having Marketing take ownership of 35% as marketing-sourced, with the remainder being handled by Sales. 

For transparency, use a coverage calculator that can break down progress and math by segment. Ensure teams are aligned on what they’re overseeing. RevOps should track weekly progress, CRO should set overall targets, and Demand Gen and the CMO should own marketing’s share. Focus on getting timing right. To keep forecasting accurately, recognize that the pipeline generated too late in the quarter won’t be able to close on time. 

Use CAC Payback and LTV:CAC to Prioritize Investment

To determine how you should allocate your budget, begin with payback and LTV:CAC. These are indicators of which channels drive the most amount of growth. Low payback and high LTV:CAC figures equate to faster returns and better value in the long run. For instance, consider a scenario where partner programs show a 9-month payback with a 5:1 LTV:CAC ratio, while paid display has a 22-month payback and a 2:1 ratio. Here, it would be more beneficial to redirect more of the budget to partners. Use a dashboard to rank performance for all channels, including ROI, and then provide summaries of recommended actions in your monthly slide deck. 

To understand how your company’s current performance compares and identify where efficiency gains can be made, request a Demand Gen KPI Audit today.

Andrew Wan is a finance writer with more than a decade of experience in lending and 8 years of professional writing expertise. He has a Master of Studies in Law from the University of Southern California and an MBA from the University of California, Irvine, utilizing that combination to bring a unique blend of legal, financial, and business acumen to his articles. He’s also a licensed real estate broker in California, knowledgeable about housing markets and investment strategies. Andrew’s experiences in these various topic areas allow him to translate complex financial topics into authoritative and accessible content for a wide range of audiences.

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