AI-Powered

AI Marketing Strategy Generator for B2B SaaS

Generate a complete, channel-prioritized marketing strategy in one prompt. Enter your company stage, ICP, growth goals, and budget and get a full strategy with channel priorities, budget allocation percentages, 90-day action plan, and KPI targets built for your ARR range.

How it works

Five inputs. One complete strategy.

Your inputs
Company stage + ARR
Series B — $28M ARR, growing 65% YoY
ICP description
VP Operations at 200-500 person logistics SaaS companies struggling with manual dispatch workflows
Top 3 growth goals
1. Reduce SMB CAC from $4,200 to $2,800. 2. Push marketing-sourced pipeline to 55%. 3. Launch partner channel.
Current channels
Google Ads, LinkedIn Ads, content/SEO (early), SDR outbound
Budget range
$2.1M annual marketing budget
Strategy output
Channel priority ranking
1
Paid Search (Google)32%

High-intent demand capture for logistics workflow queries. Expand beyond brand to competitor + category terms.

2
Content / SEO22%

Underfunded vs. benchmark. 12-month compounding returns. 3 content hubs mapped to ICP pain points.

3
SDR Outbound20%

Proven channel. Optimize sequencing toward VP Ops at target accounts, not broad titles.

4
LinkedIn Ads18%

Narrow ICP targeting effective but CPCs high. Shift to retargeting + ABM lists vs. cold prospecting.

5
Partner / Referral8%

New channel build. Logistics integration partners as referral sources. 6-month ramp expected.

30-day action plan (excerpt)
  • Audit Google Ads negative keywords — target 15% spend reduction
  • Brief 3 content hubs based on ICP pain point mapping
  • Launch LinkedIn retargeting against CRM contact list
  • Define partner referral program terms + 5 target partners
About this tool

Why most B2B SaaS marketing strategies fail at the prioritization step

An AI marketing strategy is a data-driven plan that maps your ICP, ARR stage, and growth goals to specific channel investments, budget splits, and time-bound execution milestones. At the $10M to $200M ARR range, the most common failure mode is not a lack of channels but a lack of prioritization: companies spread budget across seven channels simultaneously, hit mediocre CAC on all of them, and never build the compounding advantage that comes from going deep on two or three that fit their motion.

Industry benchmarks from the 2024 Benchmarkit SaaS Marketing Report show that companies with a documented channel strategy achieve 23% lower blended CAC than those running ad-hoc programs, and companies that align marketing KPIs to ARR stage hit their targets at 1.6x the rate of those using generic benchmarks.

How to use

Four steps to your AI-generated strategy

Step 1

Describe your company stage and ARR

Enter your current ARR range, growth rate, and company stage. This calibrates the strategy to your actual resource constraints and growth expectations.

Step 2

Define your ICP and top three growth goals

Enter a specific ICP description (title, company size, industry, pain point) and your top three goals for the next 12 months. Specific goals produce actionable prioritization recommendations.

Step 3

Enter current channels and budget range

List the channels you are currently running and your total marketing budget range. The tool uses this to identify gaps, flag over-investment, and recommend reallocation percentages.

Step 4

Review and apply the strategy output

The output includes channel priority ranking with rationale, a budget allocation breakdown by percentage, a 90-day action plan with specific milestones, and KPI targets benchmarked to your ARR stage.

FAQ

AI marketing strategy questions, answered.

What inputs does the AI marketing strategy generator need?

The generator needs five inputs: your company stage and ARR range, a description of your ICP including title, company size, and primary pain point, your top three growth goals for the next 12 months, the channels you are currently running, and your total marketing budget range. The more specific your inputs, the more specific the output.

What does a good AI marketing strategy output look like for a B2B SaaS company?

A strong output for a $30M ARR B2B SaaS company in an outbound-heavy motion would typically show two to three primary channels, a budget split weighted 50-60% toward demand generation, 20-25% toward content and SEO, and 15-20% toward brand and events. The 90-day plan should have specific deliverables per month, not vague themes.

What are realistic CAC benchmarks for B2B SaaS at different ARR stages?

The 2024 Benchmarkit SaaS Benchmarks report shows median blended CAC for B2B SaaS companies at $10M to $30M ARR is $4,100 to $6,800 per new logo. At $50M to $100M ARR, median blended CAC rises to $7,200 to $12,500 due to upmarket deal sizes. Enterprise-focused companies run CAC of $18,000 to $40,000+.

How should I allocate marketing budget by channel at $20M to $50M ARR?

High-growth B2B SaaS companies at $20M to $50M ARR allocate roughly 35-45% of marketing budget to performance and paid channels, 20-30% to content and organic, 15-20% to field and events, and 10-15% to brand and awareness.

What KPIs should a B2B SaaS marketing team track at Series B?

At Series B, which typically corresponds to $15M to $50M ARR, the KPIs that matter most to investors are MQL-to-SQL conversion rate (benchmark: 15-25%), pipeline coverage ratio (benchmark: 3-4x), blended CAC payback period (benchmark: 12-18 months), and marketing-sourced pipeline percentage (benchmark: 40-60%).

How is an AI marketing strategy different for PLG vs. sales-led SaaS?

PLG strategies weight the top of funnel around free trial acquisition, in-product activation, and expansion revenue. Channel priority shifts toward content, SEO, community, and product virality loops. Sales-led strategies weight outbound SDR, paid search, and field events because the ACV justifies higher CAC.

How does Hellyeah help execute a marketing strategy once it's defined?

Hellyeah translates a marketing strategy into autonomous execution. AIMA agents run paid campaigns, lifecycle sequences, and content production without requiring a human to manage each workflow. Strategy becomes a standing goal the agents pursue rather than a document someone reads once and files.

What is the difference between a marketing strategy and a marketing plan?

A strategy defines the why and the what: your positioning, ICP, channel priority, and growth goals. A plan defines the how and when: the specific campaigns, budgets, timelines, and owners. This tool generates the strategy layer. The 90-day action plan it outputs is the bridge between strategy and execution.

Get your full AI marketing strategy

Your strategy, generated and continuously updated by AI agents

Book a 20-minute demo and Hellyeah will generate a complete marketing strategy calibrated to your ARR stage, ICP, and current channel data. Not a template. An actual strategy.