How to Gather These Inputs Across Your Organisation<\/span><\/h2>\nThis is where most ROI calculations stall. The numbers live in three different departments, and none of them talk to each other by default.<\/span><\/p>\nWhat Marketing Provides<\/span><\/h3>\nMarketing owns the top of the funnel: organic traffic volume, visitor-to-lead conversion rate, and Marketing Qualified Leads (MQLs) sourced from organic. They also manage UTM tagging and attribution setup in analytics — which is the foundation of everything else.<\/span><\/p>\n<\/span><\/p>\nIn practice, many marketing teams report that organic attribution is the weakest part of their CRM data. Leads that don't come through a paid form often get filed under "direct" or left unattributed. If that's the case, first-touch organic attribution is a reasonable starting point.<\/span><\/p>\nWhat Sales Provides<\/span><\/h3>\nSales owns conversion from lead to customer: the lead-to-close rate, average contract value, and — critically — sales cycle length. For enterprise B2B, that cycle might be 6, 9, or 18 months. That lag matters enormously for when you can expect SEO investment to show up as closed revenue.<\/span><\/p>\nWhat Finance Provides<\/span><\/h3>\nFinance owns the cost side and the economic adjustments: total SEO spend broken down by category, gross margin percentage, and the discount rate appropriate for your organisation. They can also provide churn rate if it isn't tracked in your CRM.<\/span><\/p>\nHow Long B2B Sales Cycles Affect Your Inputs<\/span><\/h3>\nThis is a point none of the common frameworks handle well. If your average deal closes 12 months after first contact, SEO content published today won't show up in your closed-revenue numbers until next year. That doesn't mean SEO isn't working — it means you're measuring too early.<\/span><\/p>\n<\/span><\/p>\nThe practical adjustment: when reporting measured ROI, use a 12-month lookback window for investment but match it to deals that closed in that window, acknowledging that some revenue was influenced by SEO activity from the prior period. When forecasting, build the sales cycle lag into your timeline assumptions explicitly.<\/span><\/p>\nHow to Calculate Enterprise SEO ROI — Step by Step<\/span><\/h2>\nOnce you have your inputs, the calculation runs through five connected steps. Each output feeds the next.<\/span><\/p>\nStep 1 — Calculate Customer Acquisition Cost (CAC)<\/span><\/h3>\nCAC = Total SEO Investment ÷ Customers Acquired from Organic<\/span><\/p>\n<\/span><\/p>\nThis tells you what it cost, on average, to acquire one customer through organic search. As noted in Wikipedia's article on Customer Acquisition Cost, CAC shows the money spent on marketing, salaries, and related expenses to acquire a customer — and it should always be evaluated in relation to the lifetime value that customer generates.<\/span><\/p>\nStep 2 — Calculate Lifetime Value (LTV)<\/span><\/h3>\nLTV = ARPC × Retention Period × Gross Margin<\/span><\/p>\nRetention Period = 1 ÷ Churn Rate<\/span><\/p>\nThis adjusts revenue for how long customers actually stay and strips out the cost of serving them.<\/span><\/p>\nStep 3 — Calculate Net Present Value of LTV (NPV of LTV)<\/span><\/h3>\nNPV of LTV = LTV ÷ (1 + Discount Rate)<\/span><\/p>\nFuture revenue is worth less than present revenue. This step converts LTV into a present-day figure your finance team will recognise.<\/span><\/p>\nStep 4 — Calculate ROI Percentage<\/span><\/h3>\nROI = ((NPV of LTV − CAC) ÷ CAC) × 100<\/span><\/p>\nStep 5 — Calculate the LTV:CAC Ratio<\/span><\/h3>\nLTV:CAC = NPV of LTV ÷ CAC<\/span><\/p>\nThis ratio tells you how efficiently you're acquiring customers relative to their long-term value. A ratio below 1:1 means you're losing money on each customer. Above 3:1 is generally considered healthy for enterprise.<\/span><\/p>\nWorked Example<\/span><\/h3>\n\n\n| \n Input<\/span><\/p>\n<\/td>\n | \n Value<\/span><\/p>\n<\/td>\n<\/tr>\n\n| \n Total SEO Investment<\/span><\/p>\n<\/td>\n | \n $180,000<\/span><\/p>\n<\/td>\n<\/tr>\n\n| \n Customers Acquired (Organic)<\/span><\/p>\n<\/td>\n | \n 12<\/span><\/p>\n<\/td>\n<\/tr>\n\n| \n Average Revenue Per Customer<\/span><\/p>\n<\/td>\n | \n $100,000<\/span><\/p>\n<\/td>\n<\/tr>\n\n| \n Churn Rate<\/span><\/p>\n<\/td>\n | \n 20%<\/span><\/p>\n<\/td>\n<\/tr>\n\n| \n Gross Margin<\/span><\/p>\n<\/td>\n | \n 70%<\/span><\/p>\n<\/td>\n<\/tr>\n\n| \n Discount Rate<\/span><\/p>\n<\/td>\n | \n 8%<\/span><\/p>\n<\/td>\n<\/tr>\n<\/table>\n<\/span><\/p>\n\n\n| \n Calculated Output<\/span><\/p>\n<\/td>\n | \n Formula<\/span><\/p>\n<\/td>\n | \n Result<\/span><\/p>\n<\/td>\n<\/tr>\n\n| \n CAC<\/span><\/p>\n<\/td>\n | \n $180,000 ÷ 12<\/span><\/p>\n<\/td>\n | \n $15,000<\/span><\/p>\n<\/td>\n<\/tr>\n\n| \n Retention Period<\/span><\/p>\n<\/td>\n | \n 1 ÷ 0.20<\/span><\/p>\n<\/td>\n | \n 5 years<\/span><\/p>\n<\/td>\n<\/tr>\n\n| \n LTV<\/span><\/p>\n<\/td>\n | \n $100,000 × 5 × 0.70<\/span><\/p>\n<\/td>\n | \n $350,000<\/span><\/p>\n<\/td>\n<\/tr>\n\n| \n NPV of LTV<\/span><\/p>\n<\/td>\n | \n $350,000 ÷ 1.08<\/span><\/p>\n<\/td>\n | \n $324,074<\/span><\/p>\n<\/td>\n<\/tr>\n\n| \n ROI<\/span><\/p>\n<\/td>\n | \n (($324,074 − $15,000) ÷ $15,000) × 100<\/span><\/p>\n<\/td>\n | \n 2,061%<\/span><\/p>\n<\/td>\n<\/tr>\n\n| \n LTV:CAC Ratio<\/span><\/p>\n<\/td>\n | \n $324,074 ÷ $15,000<\/span><\/p>\n<\/td>\n | \n 21.6:1<\/span><\/p>\n<\/td>\n<\/tr>\n<\/table>\n<\/span><\/p>\nThat LTV:CAC ratio looks high, but it reflects a common enterprise B2B reality: high deal values with multi-year retention. The absolute ROI percentage is less meaningful than the trend over time and how it compares to other channels.<\/span><\/p>\nHow to Forecast Enterprise SEO ROI Before You Have Historical Data<\/span><\/h2>\nIf you're making a budget case for SEO before you've run a campaign, you don't have measured inputs — you have assumptions. That's fine. The goal is to make those assumptions transparent and defensible.<\/span><\/p>\nWhat to Estimate and How<\/span><\/h3>\n\n- Traffic: Use keyword research tools (SEMrush, Ahrefs, Google Search Console) to estimate monthly search volume for your target keyword set, then apply a realistic click-through rate for your target ranking positions. Position 1 typically captures 25–35% of clicks; position 3 around 10–15%.<\/span><\/li>\n
- Conversion rate: Use the B2B enterprise benchmark of 1.5–3% visitor-to-lead if you have no organic data. Use your overall site conversion rate as a secondary fallback.<\/span><\/li>\n
- Deal value and close rate: Pull from your sales team's existing pipeline data.<\/span><\/li>\n<\/ul>\n
Three-Scenario Forecasting Model<\/span><\/h3>\nRather than committing to a single projection, model three scenarios. This is standard practice in finance and makes your budget proposal considerably more credible.<\/span><\/p>\n<\/span><\/p>\n\n\n| \n Scenario<\/span><\/p>\n<\/td>\n | \n Traffic Assumption<\/span><\/p>\n<\/td>\n | \n Monthly Leads (2% CVR)<\/span><\/p>\n<\/td>\n | \n Monthly Customers (20% Close)<\/span><\/p>\n<\/td>\n | \n Monthly Revenue ($100K ACV)<\/span><\/p>\n<\/td>\n | \n Annual Revenue<\/span><\/p>\n<\/td>\n | \n Annual Investment<\/span><\/p>\n<\/td>\n | \n ROI<\/span><\/p>\n<\/td>\n<\/tr>\n | | | | | | | | | | | | | | |