If the only thing a sales lead generation kpi does to measure performance, then it doesn’t help at all if you’re losing money with your actual lead pipeline. B2B growth leaders do not record random email lists as their lead generation supplier. Rather, they will track the cost, time, and conversion rate for each dollar of quality revenue coming into their business.
A complete breakdown is provided with respect to the precise conversion rates, channel benchmarks, and operational service levels that must be maintained in order to operate a highly profitable revenue engine.
Core Sales Lead Generation KPI Benchmarks
Many companies compute and track metrics that do not accurately reflect the health of sales and marketing operations. When looking to quickly evaluate the health of your operation, we recommend that you compare your existing sales lead generation kpi performance against these verified mean benchmarks from within your industry.
To have confidence in your sales-reporting metrics, you should have at minimum 95 percent accuracy in the data captured within your CRM system. If you do not have accurate data to draw from, then every calculation made thereafter will be inaccurate as well.
Within the B2B realm, the average conversion rate from marketing qualified leads (MQL) to sales qualified leads (SQL) holds steady at the 13 percent mark. Organisations rated higher than the stated means, based on the use of advanced and predictive scoring techniques, have consistently realised actual conversion rates approaching between 35% and 40%.
To maintain the likelihood of converting inbound requests into leads, your company needs to respond to inbound inquiries within five minutes or less. If you wait longer than five minutes, then you have a 67 percent chance of no longer converting as an inbound lead.
A healthy sales pipeline should contain a sales coverage ratio with a range of 3 to 5 times your total sales quota.
Data Quality and Team Service Level Agreements
Conversion rates can never be optimised until the process that captures your sales lead generation kpi metrics is improved. High-performance, revenue-generating companies maintain stringent OSLAs that clearly delineate the line between marketing and sales departments and hold salespeople strictly accountable for appropriately handling each and every prospect.
Accuracy of System Data
Inaccurate data has the potential to destroy your ability to make sound financial decisions. The tracking of your data accuracy rate is a key indicator of your company's operational performance with an established target accuracy rate of 95% or above. Anything below 85% means your organization is currently flying blind.
There are specific rules that must be adhered to when entering data into your system. An organization must establish an appropriate deduplication schedule and ensure that both the sales and marketing teams have completed all required fields before moving any lead to the next stage.
If an organization allows reps to manually type in company names with various spellings, it will lead to inaccuracies within the attribution models employed by the business. There should be automated controls in place that will block any lead that is missing information from being entered into the database.
Without having clean data, a business cannot rely on their cost and velocity metrics later in the funnel.
Lead Response Timing
Time is the enemy of all deals. The most significant SLA a business must impose on its sales team to protect every sales lead generation kpi is the lead response timing.
The defined hard target for responding to any request received via a web form should be five minutes or less. Once a time period exceeding five minutes passes after an SDR has made first contact with a new lead via phone or email, the likelihood of that lead actually entering the sales pipeline dramatically decreases.
To achieve this rapid response time, organizations should closely monitor the daily activities of their SDRs. An SDR should ideally be handling 15–20 highly qualified conversations per day and an account executive (AE) should handle 8–12 conversations per day.
If your organization is allowing SDRs to become bogged down with administrative tasks, then it is likely wasting marketing dollars by not maintaining the five-minute lead response window.
Sales Acceptance Rates and Working Rates
It will do no good for marketing to just "throw bad contacts over the fence" and claim to have met their goals. The number of leads that are actually accepted and worked by sales must be tracked.
The typical sales acceptance rate is about 75-85%. Once a lead has been accepted, the working rate (that is, the percentage of accepted leads actively engaged by way of a sequence) needs to be higher than 90%.
The recycle rate (the percentage of leads that were not ready to purchase now, but were sent back to marketing for continued nurturing) should typically be between 10-20%. If the acceptance rate falls below 70%, it is highly likely that the marketing team is not targeting the correct profile of buyer.
Conversion Rates and Efficiency
Measuring the volume of top-of-funnel traffic is not a useful exercise for any business. The real measurement of success is how well your internal processes convert initial interest into engaging conversations with your sales team.
MQL to SQL Conversion
The well-known 13% median conversion rate from MQL to SQL is a good guideline, but it is not correct to apply that number throughout an entire business without hardship. A better way to understand MQL to SQL conversion rates is by acquisition channel.
The channel through which traffic is driven determines intent. SEO-generated leads converted to SQLs at a staggering 51% because buyers were actively searching for a solution.
PPC generated leads yielded only about 26% conversions to SQL status, email marketing at 46% and webinars at only 30% conversion rates.
You are miscalculating the performance of your paid media manager by evaluating him or her against the 13 percent benchmark of your organic content teams. The leading SaaS companies ignore this blended overall average altogether.
Instead, they depend on high-intent behavioral signals to elevate their MQL-to-SQL sales lead generation kpi to approximately 40 percent.
Full Funnel Lead-to-Customer Rate
By understanding what your overall close rate is, you can backwards-engineer the total cost of your marketing organization. The traditional close rates of most B2B companies is between 2 and 5 percent.
For smaller SaaS companies, the average close rate is approximately 2.7 percent. This implies that a significant quantity of qualified traffic is required before any deals can be closed.
The percentage of sales qualified leads that convert to a firm opportunity typically ranges from 40 to 60 percent. The conversion of an opportunity to a closed-won revenue normally yields a 20 to 25 percent closing rate, although the upper quartile of sales teams can achieve closing rates greater than 30 percent.
If your company's lead-to-customer close rate falls below 2 percent, there is either a major product-market fit issue, or a broken sales narrative.
Marketing Sourced Pipeline Contribution
You must identify precisely what percentage of your company's total revenue comes from marketing-initiated sources versus outbound sales hunting activities.
Healthy businesses typically create marketing-generated sales pipelines that account for 30 to 50 percent of total sales pipeline activity. The disparity of inbound pipeline sources greater than 50% indicates the effectiveness of your inbound engine.
If the inbound pipeline source drops below 20%, then your sales team has taken on an excessive amount of quota because the sales team relies heavily on cold calls to create sales opportunities.
It is important to measure your pipeline velocity compared to your lead velocity rate (LVR). For SaaS companies with aggressive growth strategies, the LVR should be growing at 15% to 25% month-over-month.
Pipeline Velocity and Acquisition Cost
Revenue is a simple math equation. By understanding the cost of a qualified meeting and the speed at which that meeting converts into a signed contract, companies can confidently scale their business.
Cost Per Lead Versus Cost Per SQL
Blended CPLs obscure the expensive mistakes you've made. You should be tracking your organic leads separately from your paid media leads, and determining the cost of each lead.
The average B2B CPL across channels is approximately $84 per lead. When broken down per channel, the CPL from Google Ads is approximately $70 per lead compared to $110 per lead from LinkedIn.
B2B SaaS CPL is substantially higher due to the longer deal cycles, with blended CPLs of approximately $237. Tracking raw CPLs as a standalone sales lead generation kpi is dangerous.
Companies should be monitoring cost per SQL. Cost per SQL is typically between $150 and $600 in the B2B space. A $20 lead from Facebook who never picks up the phone is more costly than a $400 lead from LinkedIn who signs a contract.
Pipeline Coverage Ratio
You will never be able to close every opportunity, so you should always have more potential funding in your pipeline than the revenue targets you are trying to hit.
The standard pipeline coverage ratio is three to five times your quota. Best-in-class organizations will keep their pipeline coverage ratio closely managed at three to four times.
If an account executive (AE) has a monthly quota of $100,000, they need to have a minimum of $300,000 to $400,000 of open opportunities in their pipeline to ensure they can reach their target number.
If your coverage drops to 2x your quota, then your representatives may act desperate when making calls, they may heavily discount their product, and will not reach their target.
Pipeline Velocity Calculation
By calculating pipeline velocity, you can determine how fast your team moves potential dollars toward the opportunities that will eventually result in a sale.
To calculate pipeline velocity, you will need four variables: total open opportunities, total win rate, average contract value (ACV), and sales cycle length.
For example, if your team has 50 total open opportunities with a win rate of 25 percent, an average deal size of $10,000, and a sales cycle of 60 days, your velocity would be $2,083 per day.
A team can only increase its daily velocity by pulling on one of the four available levers like pulling more opportunities into the top of the funnel. Reducing your sales cycle from 90 days to 60 days will enable you to have a much larger and more immediate impact on your cash flow than anything else.
Stop Measuring Leads and Start Tracking Time to Revenue
If your dashboard shows the number of leads generated is high, and the true cost of those leads relative to how many qualified opportunities resulted, you are mistaken!
You need to ensure that your marketing and sales teams agree on how long they have to respond to a lead and an absolute minimum level of data accuracy before they will spend any more money on marketing.
If you cannot quantify the value of the pipeline velocity on a daily basis based on your current tracking system, what are you actually managing?