# A worked SaaS marketing strategy example > A complete strategy for a 4M ARR, 24K ACV company: the decisions, the numbers, the channel plan and the quarter by quarter targets, written out in full. Source: https://saas-marketing.net/examples/saas-marketing-strategy-walkthrough/ Topic: SaaS Marketing Type: example Published: 2026-09-11 Last updated: 2026-09-11 Publisher: SaaS Marketing (saas-marketing.net) License: CC BY 4.0. Quote or republish with attribution and a link to https://saas-marketing.net/examples/saas-marketing-strategy-walkthrough/ ## Short answer A workable SaaS marketing strategy at 4M ARR fits on six pages: company context and constraints, a written ICP with a negative ICP beside it, a positioning summary the homepage inherits, a motion decision, a pipeline model that converts the ARR target into a monthly opportunity count, and a channel plan where every line has a budget, an owner and a stop rule. The example below shows all six for a company needing 1.2M in net new ARR from 96 qualified opportunities. ## Key takeaways - Turn the ARR target into an opportunity count before choosing a single channel, or the channel plan is decoration. - A negative ICP earns its page because it ends the weekly argument between sales and marketing about which leads counted. - Every channel line needs a stop rule with a date and a number, otherwise nothing is ever killed and budget drifts. - At 24K ACV a hybrid motion beats pure self serve, because buyers want a call before signing an annual contract. - 104% NRR on 4M ARR contributes 160K, so 1.04M of the 1.2M target has to come from new logos. - Strategies fail for missing the section that names what the team will not do this year. --- Most published strategy advice tells you how to write the document. Almost nobody shows the finished document, because the finished document exposes the numbers and the numbers are arguable. So here is one in full. The company below is a composite of three real plans, anonymised and rounded, for a vertical workflow product sold to finance teams at mid market logistics operators. Call it Ledgerline. **96** Qualified opportunities the plan needs across the year to hit 1.2M in net new ARR ## The company context that constrains everything else Ledgerline ended last year at 4.0M ARR, growing 22 percent, with a 24K average contract value and 14 month CAC payback. Net revenue retention is 104 percent. Three people in marketing, two SDRs, four account executives, one solutions engineer shared with support. Two of those numbers set the plan. The 14 month payback means the board will fund growth but not a 12 month brand programme with no pipeline attached. The 104 percent NRR means expansion covers very little of the target, so new logos have to carry it. If NRR were 118 percent the whole plan would be different and most of this budget would go to customer marketing instead. The target for the year is 30 percent growth: 5.2M exit ARR, so 1.2M net new. That single number drives every section that follows. If you want the blank version of this document to fill in yourself, the [SaaS marketing plan template](/templates/saas-marketing-plan/) mirrors the same six sections. ## The ICP as it is actually written in the doc Not a persona card with a stock photo. Three account filters and two people. Account filters: freight brokerage, third party logistics or regional carrier; between 80 and 900 employees; already running NetSuite, Sage Intacct or Microsoft Dynamics as the accounting system of record. That third filter matters more than the first two, because the integration is what makes the product install in two weeks instead of five months. Buyer: VP Finance or Controller, who owns the pain. Technical approver: a single IT generalist who will ask about SOC 2 and SSO and then approve. Economic buyer is the CFO at the larger end, the same VP Finance below about 300 employees. The full [buying committee](/playbooks/enterprise-saas-marketing/) work only kicks in above 500 seats, which is a small slice of this pipeline. Run your last 20 closed won deals through the filters. If fewer than 14 pass, the ICP is aspirational rather than descriptive. Ledgerline's first draft caught 11 of 20, which is how the employee range moved from 200 to 2,000 down to 80 to 900. ## The negative ICP, and the argument it ended This is the section most plans skip, and the one the sales team read first. Ledgerline will not pursue: freight tech startups under 80 employees (they have no finance team to sell to, and churn ran above 4 percent monthly in that cohort), enterprise carriers over 2,000 employees (the security review added 11 weeks and two of three deals died in procurement), and any account running a homegrown ERP (integration scoping consumed the solutions engineer for weeks with a 20 percent close rate). Those exclusions went straight into three systems on the same afternoon: the LinkedIn ads exclusion list, the demo request routing rules in Chili Piper, and the SDR call disposition options. That is the point. A negative ICP that lives only in a slide changes nothing. ## Positioning summary and the headline it produced One paragraph, agreed by the founder, the VP Sales and marketing, and then inherited by every surface. The competitive alternative is not a competitor. It is a finance analyst reconciling carrier invoices in Excel for six days a month. The unique attribute is a two week install against three named ERPs. The value is closing the month four days earlier with audit ready backup. The category is freight settlement automation, which buyers already search for, rather than a new term invented in a workshop. Homepage headline that came out of it: "Close the month four days earlier, without a new ERP." Subhead names the three integrations. The old headline was "Modern financial operations for logistics," which tested at half the demo request rate on the same traffic. If you want the reasoning behind category choice rather than the output, [how to build a SaaS marketing strategy](/guides/saas-marketing-strategy/) covers the upstream work. ## Why hybrid, not product led and not pure sales led At 24K ACV, pure self serve does not clear the bar. Nobody puts an annual contract on a card without a conversation, and the ERP integration needs a scoping call regardless. Pure sales led wastes AE time on accounts that could have disqualified themselves in twenty minutes inside a sandbox. So: a guided sandbox loaded with anonymised sample carrier invoices, no credit card, no integration required. The activation event is a user running a reconciliation on the sample data and seeing the exception report. Sales gets notified on that event, not on the form fill. Between those two triggers the opportunity rate roughly doubled, from 19 percent of form fills to 38 percent of activated sandbox users. The trade off is real. The sandbox took 9 engineering weeks and delayed two roadmap items into the following quarter. It also produces a slower top of funnel, because fewer people finish a sandbox than fill in a form. The [product led versus sales led](/playbooks/saas-go-to-market/) decision here was made on ACV and integration complexity, not on ideology. ## The model: 1.2M in ARR becomes 96 opportunities This is the section that makes the rest of the plan arguable rather than decorative. | Step | Calculation | Result | | --- | --- | --- | | Net new ARR target | Board plan, 30% growth on 4.0M | 1,200,000 | | Net expansion at 104% NRR | 4% of 4.0M starting ARR | 160,000 | | New logo ARR required | 1,200,000 minus 160,000 | 1,040,000 | | New customers needed | 1,040,000 divided by 23.6K average new logo ACV | 44 | | Qualified opportunities | 44 divided by 46% win rate | 96 | | Opportunities per month | 96 divided by 12 | 8 | The 46 percent win rate looks high, and it is, because Ledgerline only counts an opportunity after a discovery call confirms a budget owner and an evaluation date. Teams that create an opportunity at demo request will see 20 to 25 percent and need roughly twice the volume. Neither definition is wrong. Mixing them inside one model is. Sources for those 96: 44 inbound, 30 outbound, 14 partner and referral, 8 from two field events. Inbound at a 38 percent sandbox activation to opportunity rate means 116 activated sandboxes, which at 31 percent of sandbox starts means about 375 sandbox starts across the year. That is the number the content and SEO work is actually accountable for. For the same model with the demand gen assumptions broken out by channel, see the [demand generation plan template](/templates/demand-generation-plan-template/). ## The channel plan: budget, owner, stop rule Total marketing spend is 560K against 4.0M ARR, which is 14 percent. About 340K is the three person team, 220K is programs. Every program line has a name against it and a condition under which it dies. Note that the largest opportunity target sits on the cheapest line. Outbound costs 34K in tooling and data because the two SDRs are carried in the sales budget. Presenting it any other way flatters the channel, and finance will find it eventually. The first draft gave paid search 90K and no stop rule, on the argument that competitor bidding was defensive. Three months in it was at 4,100 per opportunity against a 2,700 threshold that did not exist yet. Writing the stop rule after the spend starts is how budgets leak. ## The four quarterly targets **Ledgerline quarterly plan** Coverage assumption across all four quarters is 3.2x pipeline to quota, based on the 46 percent win rate plus slippage. Reporting is one dashboard, reviewed every second Monday, with three numbers on it: qualified opportunities by source, cost per opportunity by channel, and sandbox starts. Everything else lives one click deeper. The temptation to report 30 metrics at this stage is strong and should be resisted. ## What was cut, and why this is the section that matters Three things got a written no. No podcast. It was proposed as a way to build relationships with logistics CFOs, and it might have worked. It also needed roughly 6 hours a week from a three person team for a payback nobody could model inside 18 months. If Ledgerline had 12 months of runway and 40 percent NRR expansion, the answer changes. No second vertical. Retail distribution came up twice because two inbound deals closed there. Two deals is not a market, and the ERP integration work for a new vertical is a quarter of engineering time. Revisit at 8M ARR. No G2 category push beyond the free profile and a review drive with existing customers. Paid category presence quoted at 45K for the year, against a category with 60 monthly searches. That is a 12M ARR decision, not a 4M one. Each of those had a champion who was not obviously wrong. That is exactly why the section exists. A strategy that names only what it will do is a wish list, because it never forces the trade. Read [SaaS marketing examples](/guides/saas-marketing-examples/) alongside this and you will notice the same pattern: the legible ones are legible because something was refused. ## What to do with this Copy the six section structure, not the numbers. Start with your own version of the model table, because every other section gets easier once the opportunity count is fixed. Then write the negative ICP before the channel plan, and route it into your ad exclusions and lead routing the same week. If you are starting from zero rather than rewriting, work through the [B2B SaaS go to market plan template](/templates/b2b-saas-gtm-plan/) first, then come back to this page to pressure test the numbers. Benchmarks for the conversion rates used above sit in the [SaaS marketing statistics](/research/saas-marketing-statistics/) reference, and the underlying structure is explained in [the SaaS marketing framework](/guides/saas-marketing-framework/). The whole category overview lives at [SaaS marketing](/saas-marketing/). ## Frequently asked questions ### What does a SaaS marketing strategy actually look like on paper? Six sections and no more than six pages: company context with the constraining numbers, the ICP and negative ICP, a positioning summary, the go to market motion and why it was chosen, a pipeline model that works backwards from the ARR target to a monthly opportunity count, and a channel plan with budget, owner and stop rule per line. Anything longer stops being read by the people who execute it. ### How do you turn an ARR target into a marketing plan? Work backwards. Subtract expected net expansion from the net new ARR target to get the new logo number, divide by average new logo ACV to get customer count, divide by win rate to get qualified opportunities, then split those opportunities across sources. Only then assign budget. Teams that pick channels first end up with a plan whose totals do not reach the number. ### What marketing budget is normal for a 4M ARR B2B SaaS company? Marketing alone typically runs 10 to 15 percent of ARR at this stage, with sales and marketing combined often between 40 and 60 percent for companies still growing above 20 percent. The example here spends 560K against 4M ARR, which is 14 percent, split roughly 60 percent people and 40 percent programs. Lower is possible with a heavy founder led or product led motion. ### How many qualified opportunities does a SaaS company need per month? Divide the new logo ARR target by average ACV, then by win rate. In this example 1.04M of new logo ARR at 24K ACV is 44 customers, and a 46 percent win rate on tightly qualified opportunities means 96 opportunities a year, or eight a month. If your team counts opportunities earlier in the funnel, expect a 20 to 25 percent win rate and roughly double the volume requirement. ### What is a negative ICP and why write one? A negative ICP lists the account types you will not pursue, with the reason stated. It is the fastest way to stop repeated arguments between sales and marketing about whether a lead was any good. In practice it also cleans up ad targeting, form routing and demo qualification at the same time, because all three can inherit the same exclusion list. ### Should a 24K ACV SaaS company run product led or sales led? Hybrid, in most cases. At 24K annual contract value buyers rarely sign without talking to someone, but they also will not sit through a six week evaluation for a mid market tool. A free trial or guided sandbox that produces a usable artefact, followed by a sales conversation triggered by usage rather than by a form fill, converts better than either extreme on its own. ### What is a stop rule in a marketing plan? A written condition that ends an experiment. It names a date, a threshold and a decision, for example: if paid search has not produced 6 opportunities at under 2,500 cost per opportunity by 30 April, cut the budget to zero and move it to partner sourced events. Without stop rules, underperforming channels survive on sunk cost and the plan loses its ability to reallocate.