Foundations: Pipeline & What-if Calculations

Image
To manage a budget & reach sales objectives, the Head of Demand Generation must run pipeline math in three ways. 
  1. Forward math >> How much revenue will Y media spend drive?
  2. Reverse math >> How much media spend is needed to drive X revenue?
  3. What-Ifs >>What is the impact of changing the performance of any (or all) of the performance metrics?
First, define each stage of the buying process:
  • Visitor - No Contact Information Provided
  • Lead - Have Contact Information
  • MQL - Some Engagement with Content
  • SQL - Enriched Data & Active Engagement with Content
  • Close/Win - Contract Signed
Next, define the effectable levers :
  1. Cost-per-Lead (CPL) - Cost to create awareness & have the customer enter an email address. The customer must align with your ICP (Ideal Customer Profile).
      • Use $18 as a placeholder if yours is unknown (Assumes visitor → Lead CR is 1.4% and average CPC is $0.25). Use $22.50 if just starting out.
  2. Lead → MQL CR - Some Leads are one-and-done, others continue to engage (Clicking ads, opening emails, etc…) and become MQL opportunities.
      • 37% is the B2B SaaS Industry average. Use 30% in initial modelling (You'll optimize over time).
  3. MQL → SQL CR - MQLs get enriched within the CRM. Push low opp. MQLs to a self-serve stream & high opp.y MQLs move to SQL and sales engages.
      • 39% is the B2B SaaS Industry average. Use 31% in initial modelling (You'll optimize over time).
  4. SQL → Win CR - Self-explanatory.
      • 15% is the B2B SaaS Industry average. Use 12% in initial modelling (You'll optimize over time).
  5. AOV & Sales Cycle - Self-explanatory.

Now Run The Math!


Forward math >> How much revenue will $100,000 media spend drive?

  • The formula: (Media Spend ÷ CPL) x MQL/Lead CR x SQL/MQL CR x Close/SQL CR x AOV = Revenue
  • Assumptions: Media Spend is set at $100,000 and AOV is $3,000
  • The math:
    • High-End - ($100,000 ÷ $18) x .39 x .37 x .15 x $3,000 = $360,000.
    • Low-End - ($100,000 ÷ $22.50) x .31 x .30 x .12 x $3,000 = $148,800.
  • Sales Cycle: Set this up in a spreadsheet and offset stages as follows:
  • Conclusion: $100k spend today will net $148k to $360k in revenue 5 months from now.
Image

Reverse math >> How much media spend is needed to drive $200,000 in revenue?

  • The formula:  Media Spend = (Revenue x CPL) ÷ (MQL/Lead CR x SQL/MQL CR x Close/SQL CR x AOV)
  • Assumptions: Revenue needed is $200,00 and AOV is $3,000
  • The math:
    • High-Performance - Media Spend Needed = ($200,000 x $18) ÷ (.37 x .39 x .15 x $3,000) = $55,440
    • Low-Performance - Media Spend Needed = ($200,000 x $22.50) ÷ (.30 x .31 x .12 x $3,000) = $134,409
  • Conclusion: You'll likely have to spend $55k to $134k, when first starting out, to generate $200k in revenue.

 

What is the impact of changing the performance of any (or all) of the performance metrics?

  • Create a simple table in excel as follows. Change 1-2 variables & quantify the impact on revenue.
  • Leverage the ICE Scoring Model (Impact / Confidence / Ease) to decide what metric to target for improvement:
Image