
At $5M ARR, founders close deals on relationships and referrals. At $20M, you need a system. SaaS companies that scale past $50M have a repeatable acquisition engine – not a collection of tactics. We help you build it.
Acquisition Is a Collection of Tactics, Not a System
Most SaaS companies at $10M-$30M ARR are running acquisition through a patchwork – some paid, some content, some outbound, some referrals – with no clear understanding of which channels are actually driving profitable growth. Each channel is managed separately, optimized in isolation, and measured against different benchmarks. There's no unified acquisition model. That means no real understanding of CAC by cohort or payback period by channel, and no ability to make capital allocation decisions with confidence.
Paid Channels Work Until They Don't
Paid acquisition scales well until you hit audience saturation, CPM inflation, or a platform algorithm shift. Companies that built their acquisition engine entirely on Meta or Google wake up to a 40% increase in CAC overnight with no alternative channel ready to absorb the volume. Single-channel dependence is a structural risk, not a tactical inconvenience. It compounds as you push into growth stages where the board expects pipeline predictability.
The ICP Is Defined Too Broadly to Drive Precise Acquisition
When your ICP is 'SMB software companies with 10-200 employees,' your acquisition targeting is too wide to be efficient. Precise acquisition requires knowing which firmographic and behavioral attributes predict your best customers – the ones who activate fast, expand revenue, and churn at the lowest rate. Without that definition, you're acquiring users across the full range and hoping the right ones stick. Hoping is expensive.
CAC Is Tracked but Payback Period Isn't
Many SaaS teams track CAC as a point-in-time metric but don't track payback period by channel and cohort. The result: you think you know what acquisition costs, but you don't know which channels are actually profitable at your churn rate and expansion revenue mix. Channels that look expensive on day one are sometimes your best investment. Channels that look cheap produce customers who churn in month four and drag your cohort LTV down with them.
Customer acquisition for SaaS companies starts with the unit economics, not the tactics. Before we touch a channel, we establish your target CAC by segment, your current payback period by channel where the data exists, and what a profitable acquisition model looks like at your ACV and churn rate. If those numbers aren't available, building them is the first deliverable. Running acquisition without this foundation is spending money on tactics that may or may not be profitable – and you won't know which until the damage is done.
From the economics baseline, we build the acquisition architecture – which channels make sense given your ACV, sales motion, and target segment, and how they work together. A $10K ACV product with a 14-day trial and product-led conversion has a very different channel mix than a $50K ACV enterprise product requiring a demo and a six-week sales cycle. We don't apply a template. We build the right architecture for your specific motion and your specific numbers.
The [growth strategy](/services/strategy/) work informs the sequencing. We don't try to launch six channels at once. We identify the one or two channels most likely to produce repeatable, measurable results fastest, get them to a stable and optimized baseline, then expand from there. Chasing multiple channels simultaneously before any are working is one of the most common and expensive acquisition mistakes at the $10M-$30M stage.
Paid acquisition – search, social, display – is typically the fastest channel to get clean data from, so we often start there. We build the campaign architecture, develop or brief [creative](/services/creative/) assets, set up measurement infrastructure, and run the first two to three weeks of testing with defined success criteria. We're looking for signal: what messages convert, what audiences respond, what the real CPL and CAC look like against our model.
Outbound and ABM work runs alongside paid for higher-ACV products. We identify the target account list, build the outreach sequences, and set up the infrastructure. We don't build generic blast sequences – we build tiered outreach that matches message specificity to account priority. Your top fifty accounts get a different treatment than your next five hundred.
Content and SEO compound over time but don't produce quick results. We build this channel in parallel – identifying the high-intent keywords your ICP searches when they're in buying mode, mapping the content assets needed to capture that intent, and building the publishing cadence. The payoff is typically six to twelve months out, but the work needs to start now to be there when you need it.
Every channel connects back to [measurement](/services/measurement/) infrastructure from day one. We set up UTM tracking, close the loop between ad click and CRM entry, and build a CAC dashboard by channel that updates weekly. The goal is a current, accurate view of what acquisition costs by channel, cohort, and ICP segment – not a quarterly spreadsheet exercise that tells you last quarter's news.
Acquisition efficiency is not about finding cheaper clicks – it's about acquiring the right customers at a cost your unit economics can support, through channels that don't collapse overnight.
The first 30 days are diagnostic and infrastructure. We establish the unit economics baseline, refine the ICP with acquisition-predictive attributes, audit existing channel performance, and build measurement infrastructure. We don't launch new campaigns before we know what we're measuring and what success looks like. Starting with execution before completing the diagnostic is how companies spend $200K on paid ads and have no idea whether it worked.
Days 31 through 60 are launch and early optimization. We launch the priority channels with defined test parameters, monitor performance daily in the early weeks, and make rapid adjustments based on real data. We run weekly reviews with your team covering what's live, what's working, and what's changing. No status meetings without decisions attached. The [marketing](/services/marketing/) system needs to be live and generating signal by the end of this phase.
Days 61 through 90 are scaling and iteration. Channels producing results get additional budget and creative variation. Channels that aren't get paused or restructured – no sentimental attachment to tactics that don't perform. We build secondary channels during this phase while primary channels stabilize. The 90-day output is a working acquisition engine with documented channel playbooks, not just a performance report that requires another quarter of work to act on.
Every engagement starts with a two-week diagnostic covering your current unit economics, existing channel performance, ICP definition, and competitive acquisition landscape. This isn't a formality – building acquisition strategy on top of incomplete data is one of the most expensive mistakes a growing SaaS company makes. We've seen companies six months into paid programs that had never modeled their actual payback period by channel.
After the diagnostic, we deliver an acquisition architecture document that lays out the recommended channel mix, sequencing, budget allocation, and success criteria for the first 90 days. We walk through it with your leadership team before anything gets built. No surprises after 60 days of execution.
Execution runs in two-week sprints, each with defined deliverables, launch dates, and measurement checkpoints. You get a weekly performance summary covering active channels, current CAC by channel, what we're testing, and what decisions we need from you. The summary is designed to be read in five minutes, not a 40-slide deck.
At 90 days we deliver the full acquisition playbook – channel-by-channel documentation, campaign templates, targeting parameters, and the measurement dashboard – so your internal team can operate and optimize the system independently. You shouldn't need us to run what we built.
If your saas / tech company needs customer acquisition leadership, we should talk.

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.
It comes from the intersection of three inputs: your ACV, your sales motion, and where your best existing customers came from. High-ACV enterprise products need outbound and ABM as primary channels – paid social rarely produces $50K ACV deals efficiently at scale.
Paid channels produce data quickly – you'll have meaningful signal on cost and conversion within three to four weeks. Outbound takes six to eight weeks to show results at scale because sequences take time to run and reply rates accumulate over multiple touches.
Carefully and explicitly. The ICP for a PLG motion is different from the ICP for a sales-led motion – different company sizes, different buyer personas, different price sensitivity and evaluation behavior.
The right acquisition budget is a function of your target growth rate, your current CAC, and your target payback period. If you need to add $3M ARR this year, you need enough budget to acquire that volume at your current CAC – or enough investment in CAC reduction to hit the number more efficiently.
They're the same problem viewed from different ends. Acquisition brings people into the funnel.
Yes. Referral and partnership channels are often the highest-quality acquisition sources for SaaS companies because customers arrive with pre-existing trust in the referring party.
A performance marketing agency optimizes within paid channels. We build the full acquisition architecture – paid, outbound, content, partnerships, and referral – tied to a unit economics model that tells you whether what you're running is actually profitable. We also connect acquisition to the [measurement](/services/measurement/) infrastructure and the broader [growth strategy](/services/strategy/) so you're not optimizing paid CPL while ignoring 60-day payback period by cohort. The scope is different: we're building a system, not managing campaigns.
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