
Demand Gen Playbook for Series B Companies
Series B is where most demand generation programs break. The growth tactics that got a company to $5M-$10M ARR – founder-led outbound, product virality, word-of-mouth, and a narrow paid channel – do not scale to the pipeline targets that a $20M-$50M ARR business requires. This playbook covers the structural demand gen changes that Series B companies need to make, the metrics that matter at this stage, and the most common ways the transition from startup demand gen to scalable demand gen goes wrong.
The fundamental change at Series B is that demand generation becomes an infrastructure problem rather than a tactics problem. At Seed and Series A, the questions are: which channels work for our ICP? What messaging converts? How do we get the first 100 customers? At Series B, the question is: how do we build a demand engine that reliably produces qualified pipeline at the volume the sales team requires, month after month? That infrastructure shift requires two things that most Series A companies do not have: a documented demand generation process with defined inputs and outputs, and a measurement system that attributes pipeline to the programs that generated it. Without process documentation, demand gen at scale depends on the specific people running it rather than on a repeatable system. Without attribution, it is impossible to make rational channel allocation decisions when CAC is rising or pipeline is short. The team change is also significant. The marketing generalist who ran demand gen at Series A and did everything from writing blog posts to managing paid spend to running events typically cannot scale to the specialization required at Series B.
Series B demand gen is an infrastructure problem. The shift from tactics to repeatable systems is what separates companies that scale efficiently from those that thrash.
Most Series B companies arrive with one or two channels that are working and a plan to add channels during the Series B period. The priority sequencing for channel expansion should be driven by where your ICP actually spends time and makes purchasing decisions – not by what channels your competitors are using or what the latest marketing trends suggest. For B2B companies at the Series B stage, the three most consistently productive demand generation programs are: content-led SEO (slow to build but high-quality pipeline once established), outbound with strong intent data (expensive to run well but controllable at volume), and targeted paid acquisition in channels where your ICP is making research decisions (LinkedIn for enterprise B2B, Google Search for high-intent product-adjacent queries). Each of these requires different team capabilities and different time horizons to show results. Channel diversification at Series B should be sequential, not simultaneous. Adding three new channels in the same quarter means you have three channels that are underfunded, under-resourced, and not yet optimized – and you have no way to know which of the three failed to work because of the channel and which failed because of inadequate investment.
Add one channel at a time and bring it to a working baseline before adding the next. Three simultaneous new channels means three underfunded experiments.
Series B companies typically see CAC rise as they scale demand gen because the easiest-to-reach, most-intent buyers were captured during the Series A period. Scaling to a larger addressable audience means reaching buyers who are less far along in their evaluation process, which requires more touches, longer sales cycles, and more expensive programs to convert. CAC inflation at Series B is normal; uncontrolled CAC inflation is a problem. CAC management requires three things: accurate attribution (so you know where CAC is rising and by how much), program-level CAC tracking (not just blended CAC, but CAC by channel so you can identify where to reallocate), and a payback period target that the business can sustain. A 12-month CAC payback period is common at Series B; some businesses with high NRR and expansion revenue can sustain 18-24 months. Know your target before you set program budgets. The most common CAC management failure at Series B is scaling programs without understanding their CAC contribution. A company that triples its marketing budget and doubles its pipeline without knowing the CAC by program cannot make rational decisions about where to invest the next dollar.
Track CAC by program, not just blended. Blended CAC hides the programs that are destroying unit economics.
Series B companies often make the mistake of optimizing demand gen for pipeline volume – meetings booked, leads generated, MQLs created – without tracking whether that pipeline is converting to revenue. A demand gen program that generates 200 MQLs per month with a 3% sales-qualified lead conversion rate is producing 6 SQLs. A program that generates 80 MQLs with a 15% SQL conversion rate is producing 12 SQLs. Volume metrics optimize for the wrong thing. Pipeline quality is measured through the funnel: MQL-to-SQL conversion rate, SQL-to-opportunity conversion rate, opportunity close rate, and average deal size by program source. These metrics tell you whether the leads your demand gen programs are generating are actually turning into revenue – and they reveal which programs are generating activity that wastes sales team time. Sales team feedback on pipeline quality is a critical input that most marketing teams collect inconsistently. A structured biweekly review with sales leadership – 'which programs this week sent us leads worth talking to, and which sent us leads we should not have called?' – is more actionable than any report.
Measuring demand gen on MQL volume optimizes for activity. Measuring on sourced ARR and pipeline conversion optimizes for revenue.
Marketing and sales misalignment at Series B is a revenue problem, not a cultural problem. The symptoms – sales complaining about lead quality, marketing complaining that sales does not follow up on leads, no shared definition of a qualified lead – have specific structural fixes that most companies treat as relationship problems. The shared lead definition is the first fix. Marketing and sales need to jointly define what constitutes a Marketing Qualified Lead, a Sales Qualified Lead, and a Sales Accepted Lead, and those definitions need to be specific enough that they can be applied consistently. 'A decision-maker at a company in our ICP who has shown intent' is not specific enough. 'A VP or above at a company with 100-500 employees in these five verticals who has consumed at least two pieces of content and has a contact in our CRM with a verified email address' is specific enough. The lead follow-up SLA is the second fix.
Marketing-sales misalignment is a structural problem with structural fixes. Shared lead definitions, written SLAs, and closed-loop attribution resolve most of it.

Let us take a custom approach to your growth goals by assembling and leading the best-in-class marketing team to support your next stage.
Founder-led outbound, product virality, and word-of-mouth are high-trust, low-volume channels that work well at early ARR but cannot generate the pipeline volume a Series B business requires. The structural problem is that these motions are not repeatable at the headcount and spend levels needed to hit $20M – $50M ARR targets.
The right move is to audit which single channel drove the majority of pipeline to date, fully instrument it with attribution before adding new channels, and expand into one adjacent channel at a time with a defined 90-day test budget and a clear pass/fail metric. Spreading budget across four channels simultaneously is the most common mistake at this stage – it produces noise, not signal.
Blended CAC is useful for board reporting but dangerous for channel decisions – it masks which programs are efficient and which are subsidized by organic. At Series B, the metrics that drive decisions are CAC by channel, CAC payback period by segment, and the ratio of pipeline generated to pipeline needed to hit the ARR target.
Tuesday, September 15, 2026
Frank Growth – Episode 237 – Stop Buying Users Who Leave with Michelle Matthews
Tuesday, September 8, 2026
Frank Growth – Episode 236 – Turn Marketers Into AI Strategists with Elyssa Steiner
Tuesday, June 16, 2026
Frank Growth – Episode 224 – The Bootstrapper’s Revenge with Alex Roy
Tuesday, July 21, 2026
Frank Growth – Episode 229 – Longevity Medicine’s Dirty Secret with Jim Donnelly
Ready to unlock your growth?
Book Free Call