Build a complete full-funnel demand gen playbook: channel map, content-to-MQL bridge, SDR handoff SOP, budget split, KPI dashboard, and 6-month content calendar.
Share your stage, product, ICP, channels, and revenue target. The AI will build a tailored demand gen playbook.
Most B2B teams use 'demand gen' and 'lead gen' interchangeably. They are not the same, and conflating them is the single biggest reason demand gen programs underperform.
Lead generation is about capture. It optimizes for form fills, gated downloads, and webinar registrations. The metric is volume of contacts entering the CRM. The problem with lead gen as a primary strategy is that most leads never become customers. You spend on ads, drive traffic to a gated asset, and watch your sales team chase contacts who downloaded an ebook but had no real intent.
Demand generation is about creation. It builds market awareness, shapes how buyers think about a problem, and drives in-market buyers to self-identify when they are ready. The metric is pipeline created and influenced, not raw lead volume. Demand gen treats the entire funnel as one motion: awareness creates familiarity, consideration builds trust, and decision converts intent into pipeline.
This tool generates a complete demand gen playbook, not a lead gen plan. Every channel, every metric, and every handoff in the playbook is built to create pipeline, not just capture contacts.
A demand gen playbook needs different channels for different stages. The mistake most teams make is using awareness channels (paid social, podcasts, content) to drive bottom-of-funnel actions like demo requests. The result is poor conversion rates and a confused sales team.
Awareness stage channels create reach and shape perception. Examples: organic LinkedIn, programmatic SEO, podcast tours, industry newsletters, paid brand campaigns. The primary metric is impressions and engaged reach within your ICP, not form fills.
Consideration stage channels build trust and compare options. Examples: webinars, comparison content, case studies, third-party reviews, retargeting. The primary metric is engaged time and return visits, not first-touch attribution.
Decision stage channels convert intent into pipeline. Examples: high-intent paid search, account-based outbound, demo requests, ROI calculators. The primary metric is qualified pipeline created, not lead volume.
This tool maps 9 channels (3 per stage) with rationale, tactics, content types, primary metrics, and budget weights tailored to your specific ICP and company stage.
The handoff between marketing and sales is where most demand gen pipelines die. Marketing generates an MQL, sends it to the SDR queue, and the SDR either ignores it for 3 days, calls without context, or disqualifies it without a real conversation. The result is wasted spend and a finger-pointing meeting between the CMO and the VP of Sales.
The fix is a documented SDR handoff SOP that defines triggers, owners, SLAs, and success criteria for every step in the workflow. When an MQL crosses a score threshold, marketing ops enriches the record. The SDR is notified within 5 minutes. The first outbound touch happens within an hour. The disposition is logged within 24 hours. The feedback loop runs weekly.
This tool generates a 7-step SDR handoff SOP with explicit triggers, owners, SLAs, and success criteria. You can hand the output to a RevOps lead and operationalize it the same week.
The biggest budget mistake in demand gen is over-investing in paid media and under-investing in content production. Paid media without strong content is a tax. Content production without paid amplification is a whisper. The right split depends on your stage and ICP, but the principle is balance.
For early-stage companies (seed to Series A), the typical split is 30-40% content production, 25-35% paid media, 15-20% events and partnerships, 10-15% tools and ops, and 5-10% influencer and community. Content earns the long-term compounding wins. Paid media buys short-term reach to validate messaging.
For mid-stage companies (Series B+), the split shifts toward paid media and events as the brand earns reach and the team needs to scale pipeline faster. This tool generates a 5-category budget split tailored to your specific company stage with concrete examples of how the budget gets spent.
Most demand gen dashboards track vanity metrics: page views, social impressions, MQL volume. These metrics tell you what happened, not whether you are building real pipeline.
The KPIs that predict pipeline are a mix of leading indicators (engaged accounts, in-market signals, content consumption depth) and lagging indicators (pipeline coverage, MQL to SQL conversion, sales-accepted opportunities, CAC payback). Together they tell you whether your demand gen engine is creating future revenue.
This tool generates 8 KPI rows covering all funnel stages plus pipeline and revenue, each with a formula, a target tied to your revenue goal, and a review cadence so you know when to look at the metric and when to act on it.
Lead gen captures contacts (form fills, downloads, registrations). Demand gen creates pipeline (awareness, trust, in-market intent). Lead gen optimizes for volume of leads entering the CRM. Demand gen optimizes for qualified pipeline created and revenue influenced. A healthy B2B program uses lead gen tactics inside a demand gen strategy, not as a replacement for one.
Awareness stage signals (engaged reach, content consumption, brand search volume) typically show movement in 30-60 days. Consideration stage signals (return visits, demo requests from organic) show in 60-120 days. Pipeline impact and CAC payback are typically measurable in 90-180 days. This is why demand gen needs executive air cover; the early metrics look soft compared to lead gen capture rates.
The playbook scales to any budget. For seed-stage companies, $30k-$60k per quarter is realistic if you focus on organic content, founder-led LinkedIn, and 1-2 paid channels. For Series A and B companies, $150k-$500k per quarter is typical. The tool tailors the budget split to your company stage and the budget you specify in the advanced options.
Track 4 metrics: speed-to-lead (time from MQL trigger to first SDR touch), MQL-to-SQL conversion rate, MQL-to-meeting-booked rate, and SDR feedback scores on lead quality. If speed-to-lead is over 1 hour, you have a routing problem. If MQL-to-SQL is below 15%, you have a scoring problem. The SOP this tool generates fixes both.
Yes. Even mature demand gen teams benefit from a structured playbook because it forces alignment between marketing, SDR, and AE on the funnel definition, MQL criteria, and KPI dashboard. Use it as an audit tool: run it with your current company inputs and compare the output to what your team is actually doing. The gaps are the opportunities.
