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Insights·The Shift

Why "Make More Calls" Fails: 93,181 Dials, Just 161 Leads

2026-10-228 min read

A blue pen sketch of a company connected to people and a handshake, with a dashed connection to another contact and phone symbols nearby.
Map the reachable market before asking for more activity.

93,181 attempts, 161 leads, and why more activity won't fix your pipeline · White paper by Steve Schilling · October 8, 2026

The client gave us 46,655 contacts for outreach. Deduplication reduced that list to 8,757 companies. After excluding businesses we could not call and those unable to buy, the workable market stood at 4,921 companies.

Our team spent 29 weeks calling into that market: 93,181 attempts yielded 161 leads.

At each weekly review, leadership continued to ask for more calls and more leads. We followed through. But dialing wasn't what held the program back. Our review pointed to constraints in the reachable market and list supply. More activity alone did not address those constraints.

When pipeline stalls, the usual prescription is more activity. It is also the wrong prescription.

More is everyone's first answer

Ask leaders how to close a pipeline shortfall and the answers sound familiar: add leads, hire reps, expand sequences, upgrade the dialer or buy another data tool. AI is the latest addition, writing and sending far beyond the volume any team could manage.

These investments share an appeal: speed, visibility and straightforward reporting. Leadership can point the board to additional hires, a new platform and a steadily rising dial count.

Yet the returns have not followed. In its 2026 survey of chief sales officers, Gartner describes spending on "talent, tools and processes" producing "stubbornly flat returns." The Bridge Group studied 351 B2B companies for its 2025 benchmark and put SDR quota attainment at 60%, a record low. Those benchmarks do not, by themselves, establish the financial return from additional activity.

It started with a hole in the pipeline

A large public software company had completed a major acquisition. When its team examined the acquired pipeline, it discovered the pipeline was missing. The transaction had closed, the public company still had its number to hit, and a gap now stood in the way.

The company hired us to generate a few hundred new opportunities within six months. The plan called for each rep to deliver two qualified leads per week from 80 or more daily dials. Staffing grew from four reps to ten.

Before anything else, I asked if the available market could support that opportunity target. Leadership readily said yes, pointing to its tens of thousands of contacts.

The initial list was strong. It accounted for most of what the program would ultimately produce. Later deliveries looked different. A batch of 1,464 contacts represented just 56 companies, or 26 people per company. In three subsequent batches, fewer than one in five records represented a company still available to call. The remainder repeated companies we had worked, duplicated records or businesses on a do-not-call list.

Contacts aren't companies

The arithmetic leadership resisted was simple: for this client, a company could buy only once.

A complex technology purchase may involve plenty of database names, but one or two people at the company make the decision. Suppose I call 15 contacts and locate the decision-maker. The remaining 14 fall out of contention, serving as influencers at most. If that decision-maker has already declined because of a lack of interest or an existing contract, adding 10 colleagues to the call list creates no new opportunity. Every route leads back to the same answer.

Companies therefore define the market, and there are only so many of them. Our strongest list yielded roughly 4.6 leads per 100 workable companies. To produce two leads weekly, each rep required about 180 new companies per month; ten reps required about 1,800. With only 4,921 companies in the cleaned market, a fully staffed team would exhaust it in less than three months.

We explained that in our November update. Every workable company was already being worked. Unless new companies arrived, December would mean cycling through the same accounts again.

Leadership would not accept the finding. New contact batches continued to arrive monthly, mostly adding people at companies we had already covered.

Effort is not evidence

The reps put in the work leadership expected. Calls happened, conversations happened, and reporting accurately reflected both. What needed scrutiny was the choice of measures.

The client's reports captured contacts, calls and leads: measures of effort. They never measured the available market. That kept the program looking busy week after week, even as it reached the end of its company list.

List-level results exposed the difference. The first list accounted for 30% of companies worked but 62% of leads. Another list contributed 13% of companies and only 1% of leads. Rep capability and effort had stayed constant. Market quality had changed.

Every engagement since has reinforced that lesson for me. Dials, sequences, booked meetings and stage changes describe your team's actions. Evidence describes a buyer's action at a business able to purchase, measured against the full market you should have reached. Increasing activity raises the effort count. It does not increase the evidence.

Added volume scales the sales motion already in place, including its targeting problems. In Gartner's June 2025 report on 632 B2B buyers surveyed in August–September 2024, 73% said they actively avoid suppliers whose outreach is irrelevant. Gong's analysis of more than 300 million cold calls applied different observed rates to an assumed 800 monthly dials, producing modeled estimates of roughly 2 versus 18 meetings. That illustration does not isolate targeting as the sole cause of individual reps' results.

AI makes "more" almost free

The activities described here are about to cost less.

Researching, writing and sending through AI can already exceed any team's output. Gartner forecasts that AI agents will outnumber sellers ten to one by 2028. Historically, each push for "more" carried a price: another salary, a dialer agreement or a data subscription. Those expenses imposed some discipline. AI removes much of that constraint.

Apply that capacity to an unchecked sales motion and its errors repeat alongside everything else, at a scale a rep team could never achieve. As the price of "more" falls, the destination of that effort matters even more.

What to do instead: check your aim before you buy more

When the next pipeline gap prompts a request for more, answer "not yet," rather than refusing outright. Use 30 to 60 days to establish where today's effort actually goes. Growth Orbit uses the following check.

1. Build a clean TAM

Define a company that can purchase: its size, industry, location and the condition that determines genuine qualification. Use a company database to assemble that market, instead of starting with the CRM. Count each business once, at the parent-company level.

The standard: criteria written clearly enough for anyone to apply, plus a deduplicated company count. Perfection is unnecessary; an honest account of what remains unknown is essential.

2. Audit last quarter's activity against it

Export the previous quarter's calls, emails and meetings. Attribute each activity to a company and match those businesses to your TAM. Then work out the proportion of activity directed at companies within your market.

The standard: you can state that proportion. Across client programs I have measured, roughly half the activity or less reached the market. Be prepared for an unexpected result.

3. Count companies, not contacts

Make companies worked the reported unit, rather than contacts reached. Monitor the supply of new, workable companies still in the market and the rate at which your team consumes it.

The standard: at any point, you can express your remaining market in months at the team's current work rate.

4. Take list-building away from the reps

Left to build lists themselves, reps gravitate toward people easiest to reach. Instead, create and allocate a central target list drawn from the TAM. Let reps suggest additions, with each company checked against the qualification criteria before admission.

The standard: each account being worked was assigned from the target list or cleared the criteria check.

5. Lead with where effort lands, not how much there is

Continue measuring dials and connects. Give the dashboard's top positions to three other measures: activity share within the market, activity share directed at best-fit companies, and lead rate by fit.

The standard: the proportion of activity on market rises each month.

6. Test aim against volume before you buy more

Before approving extra reps, a dialer, data seats or AI outreach software, test the proposal. Over 60 to 90 days, keep part of the team at current volume using only the cleaned, on-market list. Have another group increase volume through the existing approach. Compare meetings held and opportunities at companies that meet the fit criteria.

The standard: buyer behavior determines the investment decision, rather than vendor assurances.

The trap: buying more data instead of better aim

Too often, a targeting diagnosis triggers the purchase of a larger contact database. Our software client did exactly that, supplying new contacts at familiar companies month after month. The label changed; the extra volume did not. Resolving the problem takes a documented market definition, a company list built to that definition and measurement of where outreach goes.

A one-time audit is the next trap. Targeting slips over time, so recalculate the on-market share monthly.

The question for your next pipeline review

What proportion of last quarter's activity reached companies suited to your offer, and how did those buyers respond?

Until you know where the activity landed, you cannot tell whether increasing it will improve results. You can only be certain it will add cost.

Keep these points in view:

Leaders reach for higher activity because it is quick, visible and simple to report. That does not establish that it works.

A contact count does not define a market. Companies do, and that finite supply disappears faster as volume rises.

Measure evidence, not just effort. Before expanding, define and clean the TAM, audit the prior quarter's targeting, count companies, centralize list building, prioritize on-market measures and compare better aim with higher volume.

Work out what additional activity will buy before you pay for it.

Diagnose the motion before buying more activity

Scope a GTM Assessment →

Growth Orbit's GTM Assessment examines the market, data and sales motion together so the next investment addresses the problem the evidence identifies. For the narrower question of which companies in your market are missing from your CRM, use Coverage-Gap Analysis.