Scaling B2B software sales: four stages from founder-led selling to a sales machine

Scaling B2B software sales runs through four stages in my model, and a different number matters at each one: whether the founder's close repeats, how far apart the first account executives' results are, how long new hires take to ramp, and, at the fourth stage, net revenue retention (NRR) of the installed base. In 2026, Bridge Group finds 48 percent of account executives at quota, down from 51 percent in 2024, with a ramp of 6.2 months, the longest in the study's history ^[1]. Buyers commit early. According to 6sense, 94 percent of buying groups have a ranked shortlist before they contact a vendor, and their first choice wins 77 percent of the time ^[2].

In my first co-founder role, I was effectively the sales team. My piece on multipliers covers what comes after: how sales grows beyond your own team.

How has scaling B2B software sales changed since 2024?

Forrester's survey of nearly 18,000 business buyers counts an average of 13 internal and nine external participants per purchase decision ^[3]. According to 6sense, buyers first reach out to a seller once they're 61 percent of the way through their journey, earlier than the 69 percent measured in 2024 ^[2].

Performance among sellers is lopsided. Across 655,000 opportunities, Ebsta and Pavilion find that 14 percent of sellers bring in 80 percent of revenue ^[4]. A team average hides how few people carry most of the result.

Sales is also the top bottleneck for German startups. In the German Startup Monitor 2025, 63.5 percent of founders name sales and customer acquisition as their central challenge, with product development second at 40.9 percent ^[5].

The four stages and what counts at each

I separate four operating modes, each with its own question. A company that takes on the next stage's question before solving the current one hires people for a problem it doesn't have yet.

Stage 1: Founder-led selling

The founder sells, and what matters is whether the close repeats. Bain Capital Ventures asked four founders about the switch. One reached a million dollars in ARR before hiring the first account executive; another hired at 1.5 million and says in hindsight that 500,000 would have been the right point ^[6]. The piece explicitly declines to name a fixed threshold for hiring salespeople ^[6].

Lenny Rachitsky looked at the first hires of around 20 B2B companies. A salesperson was rarely among the first three, and among the first 10, sales is the second most common function after engineering ^[7]. My own time as a founder tells me why. As long as the storyline changes with every conversation, only the founder can sell it.

Stage 2: The first account executives

Once the first account executives are on board, the spread between them is the number to watch. Ebsta measures an elevenfold performance gap between the best and the weakest sellers ^[4]. In the multipliers piece I described a case: the first account executive booked 1.2 million in ARR a year, the third one in the same market 280,000. A result like that depends on individual people.

Every hire at this stage is expensive. In 2026 an account executive costs a median of 200,000 dollars in on-target earnings against a quota of 960,000 dollars, and ramp takes 6.2 months on average ^[1]. A bad hire therefore costs at least that ramp plus the pipeline that sits idle meanwhile (my own estimate).

Stage 3: The sales machine

In the sales machine, ramp is the number that matters: the time until new account executives perform at full capacity. ICONIQ finds at more than 150 software companies that 62 percent of ramped account executives hit quota ^[8], while Bridge Group puts the figure at 48 percent across all account executives ^[1]. The two studies draw on different samples. I read the gap as a hint of how much performance sits in onboarding.

Stage 4: Specialization and multipliers

At the fourth stage, the installed base carries growth. The classic setup split roles into SDR, account executive and customer success, and Bridge Group has counted a steady one SDR per 2.4 account executives since 2018 ^[9]. A shift back is now visible. Ebsta sees 46 percent of companies returning to full-cycle sellers who own the whole process ^[4], and at Bridge Group 38 percent of account executives are responsible for renewal and expansion, nearly double the 2024 share ^[1].

Net revenue retention is the number for this stage. SaaS Capital measures a median of 101 percent across more than 1,000 private B2B SaaS companies; companies above 130 percent grow at a median of 50 percent a year, those below 90 percent at 15 ^[10].

Multipliers come in here too. In a platform mandate in the energy sector, the eight-person sales team of a Swiss utility became the multiplier and brought in 80 new customers in the Swiss market, as described in the multipliers piece.

How can you tell which stage your sales team is at?

The stage shows in what the result depends on. If the pipeline stalls as soon as the founder stops selling for two weeks, it's stage 1, however many sellers are on payroll. If two of four account executives make their number and the other two don't, it's stage 2. If new sellers deliver the same number after six months as the veterans, it's stage 3.

My diagnosis rests on four rules of thumb:

1. Spread: if the best account executive's new ARR over four quarters is more than three times the weakest one's in the same market, sales is at stage 2.
2. Ramp: if the ramp curves of the last four hires look alike month by month, onboarding follows a program.
3. Pipeline source: at Ebsta, account executives generate 19 percent of pipeline themselves and BDRs (business development representatives) 27 percent ^[4]. If the founder still brings in around half, the machine isn't finished.
4. Net retention: below the 101 percent median ^[10], the installed base can't yet carry stage 4.

How do you turn the first account executives into a sales machine?

For the move from stage 2 to stage 3, I'd suggest this sequence.

1. Measure the spread before you hire anyone: new ARR, win rate and pipeline per account executive, four quarters back. The result shows whether the problem sits with people or with the process.
2. Draw the ideal customer profile tight enough that your weakest account executive can serve it, and clear out pipeline with no activity.
3. End every meeting with the next one booked. The method is called Book a Meeting from a Meeting, and it's in the method catalog under BAMFAM.
4. Build the ramp as a program: a library of good calls to listen to, a question-based script, daily role-play in the first two weeks, then half a pipeline and a daily review of your own calls. Bridge Group's 6.2 months is an industry average ^[1].
5. Run every deal with several contacts, since Forrester counts an average of 13 internal participants per purchase decision ^[3]. A deal with one champion has a single point of failure.
6. Management needs a fixed cadence as well, with a weekly pipeline review, a 14-day forecast and a quarterly review.

Does AI replace sales in B2B software?

In the data I know of, AI doesn't replace sellers so far. Gartner surveyed around 650 business buyers in late summer 2025: 45 percent use generative AI while buying, and 67 percent prefer a rep-free experience ^[12]. In a second analysis of the same survey, 69 percent say they want to validate AI-generated insights with a sales rep ^[13]. Buyers who spent more time with supplier reps reported the least dysfunction in their buying group, and low-dysfunction groups were 13 times more likely to report a high-quality deal ^[13].

For sellers, the evidence so far is correlation. Bridge Group sees 57 percent quota attainment in the tercile with the highest AI engagement and 39 percent in the lowest ^[1]. At ICONIQ, 67 percent of ramped account executives with high AI adoption hit quota, compared with 59 percent of the rest ^[8]. Neither study can rule out that well-run teams simply do both, use AI and make their number.

The only peer-reviewed study I know of comes from customer support. Brynjolfsson, Li and Raymond studied 5,172 support agents and found that an AI assistant raised issues resolved per hour by 15 percent on average, and by 30 percent for less experienced and lower-skilled agents ^[14]. The most experienced agents got only slightly faster, and their quality dipped a little ^[14]. If that mechanism carries over to sales, the lever is onboarding, which puts it in stage 3.

Solid data on autonomous sellers is missing. Bridge Group lists AI SDRs as a category for the first time in 2025, at one percent of respondents ^[9]. Gartner expects more than 40 percent of agentic AI projects to be canceled by the end of 2027, citing rising costs, unclear business value or inadequate risk controls ^[15]. The research turned up no independent measurements of AI SDR results, only vendor figures without disclosed methodology.

In Germany, AI in sales is still early. In September 2026, Bitkom reports that for the first time a majority of companies, 57 percent, use AI; of these, 14 percent use it in sales and 72 percent in customer contact ^[16].

My Take

Getting ahead of your stage costs a lot, for example stage-3 leadership in a stage-1 company. A seasoned CRO arrives with the playbook of a scaled company, meets a storyline that still changes every week, and builds structure before demand repeats. Understandable enough, a ready-made playbook feels safe. A year later, that apparatus may mostly administer pipeline while the ramp curves of the new sellers keep drifting apart.

For owners and investors, the pressure is rising. Bain calculates that for the same return on capital, a buyout in 2015 needed about 5 percent annual EBITDA growth; today it needs 10 to 12 percent, under the same assumptions for entry multiple, debt and target return ^[17]. In my view, growth at that level only becomes plannable with a sales team whose results are spread across several ramped sellers. How investors now raise these questions in valuation is covered in the piece on AI due diligence for software deals.

If you'd like to talk through the ramp curves of your sales team, book 30 minutes in my calendar.