Digital marketing platforms evolve, algorithms change, and tools get replaced. What stays constant is the need to measure performance, understand efficiency, and make informed decisions. That is where formulas matter.
This section contains the foundational digital marketing metrics used across paid advertising platforms such as search ads, social ads, display, and marketplaces. These formulas help measure visibility, efficiency, conversions, and profitability.
| Metric | Formula | What it Measures | Example |
|---|---|---|---|
| CTR – Click Through Rate | (Clicks ÷ Impressions) × 100 | Measures how often users click after seeing an ad. Indicates message and audience relevance. | 75 clicks from 3,000 impressions → (75 ÷ 3,000) × 100 = 2.5% |
| CPM – Cost Per Mille | (Total Cost ÷ Impressions) × 1,000 | Cost paid for every 1,000 ad impressions. Used mainly for brand awareness. | GBP 25 spent for 5,500 impressions → CPM = GBP 4.5 |
| CPC – Cost Per Click | Total Cost ÷ Total Clicks | Average cost paid for each click generated by an ad. | 150 clicks at GBP 2.2 → Total cost = GBP 330 |
| CR – Conversion Rate | (Conversions ÷ Clicks) × 100 | Percentage of clicks that result in a conversion. | 10 conversions from 250 clicks → CR = 4% |
| CPA – Cost Per Action / Acquisition | Total Cost ÷ Conversions | Cost incurred for each conversion achieved. | GBP 600 spent for 15 conversions → CPA = GBP 40 |
| CPA (Expanded) | Total Cost ÷ (Impressions × CTR × CR) | Shows how CPA is derived from impressions, CTR, and conversion rate. | Used for funnel-level analysis |
| CPL – Cost Per Lead | Total Cost ÷ Leads | Cost paid for each lead generated. Used in lead-gen campaigns. | GBP 500 spent for 50 leads → CPL = GBP 10 |
| eCPM – Effective Cost Per Mille | (Total Revenue ÷ Impressions) × 1,000 | Revenue earned per 1,000 impressions, regardless of pricing model. | USD 50 revenue from 10,000 impressions → eCPM = USD 5 |
| eCPC – Effective Cost Per Click | Total Revenue ÷ Clicks | Revenue generated per click. Used to evaluate monetisation efficiency. | USD 200 revenue from 100 clicks → eCPC = USD 2 |
| eCPA – Effective Cost Per Action | Total Revenue ÷ Conversions | Revenue generated per conversion. Used to judge CPA campaign profitability. | USD 300 revenue from 15 conversions → eCPA = USD 20 |
| ROI – Return on Investment | (Revenue – Cost) ÷ Cost | Overall profitability of a campaign or activity. | (2000 – 500) ÷ 500 = 300% ROI |
| ROAS – Return on Ad Spend | Revenue ÷ Ad Spend | Revenue generated for every unit spent on advertising. | USD 50,000 revenue from USD 10,000 spend → 5:1 ROAS |
| ACOS – Advertising Cost of Sale | Ad Spend ÷ Revenue | Percentage of revenue spent on advertising. Common in eCommerce. | Rs. 5,500 spend on Rs. 87,000 revenue → 6.3% ACoS |
| AOV – Average Order Value | Total Revenue ÷ Conversions | Average value of each transaction. | Rs. 75,000 revenue from 15 orders → Rs. 5,000 |
| I2C – Impressions to Conversion % | (Conversions ÷ Impressions) × 100 | Measures how impressions directly convert into actions. | 150,000 conversions from 252,643 impressions → 60% |
| Impression Share | Impressions ÷ Eligible Impressions | Percentage of total possible impressions your ads received. | 101,692 ÷ 252,643 → 40% |
| Ad Rank | CPC Bid × Quality Score | Determines ad position and eligibility in search auctions. | Higher Ad Rank improves visibility |
| RPC – Revenue Per Click | (Revenue + Goal Value) ÷ Clicks | Average revenue generated per click. | USD 500 revenue from 250 clicks → USD 2 RPC |
| Metric | Formula | What it Measures | Example |
|---|---|---|---|
| CAC – Customer Acquisition Cost | Total Marketing Cost ÷ Customers Acquired | Average cost to acquire one paying customer across channels. | Rs. 1,00,000 spend for 200 customers → Rs. 500 CAC |
| LTV – Lifetime Value (Economic Constraint) | CPC ÷ Conversion Rate < LTV | Ensures acquisition cost stays lower than lifetime value. Used as a bidding constraint. | If LTV = Rs. 500 and CR = 2%, max CPC = Rs. 10 |
| Cost per Transaction | Total Cost ÷ Transactions | Cost incurred for each completed transaction. | Rs. 5,000 cost for 25 transactions → Rs. 200 per transaction |
| Average Cost of Sale (ACS / ACoS variant) | Total Cost ÷ Total Revenue | Shows how much it costs to generate one unit of revenue. | Rs. 5,500 cost on Rs. 87,000 revenue → 0.063 |
| Funnel Conversion Rate | Final Conversions ÷ Total Funnel Entries | Overall efficiency of the funnel from entry to conversion. | 100 conversions from 2,000 visitors → 5% |
| Funnel Efficiency | Revenue ÷ Total Funnel Cost | Measures how effectively spend converts into revenue. | Rs. 2,00,000 revenue from Rs. 50,000 spend → 4x |
| Impressions → Clicks → Conversions Chain | Impressions × CTR × CR = Conversions | Shows how traffic volume, CTR, and CR combine to drive outcomes. | 10,000 × 2% × 5% = 10 conversions |
| Revenue per Visitor (RPV) | Total Revenue ÷ Total Visitors | Average revenue generated per visitor. | Rs. 1,00,000 revenue from 10,000 visitors → Rs. 10 RPV |
| Break-even CPA | LTV × Gross Margin | Maximum CPA allowed before losing money. | LTV Rs. 1,000 × 50% margin → Rs. 500 CPA cap |
| Retention Rate | Returning Customers ÷ Total Customers | Percentage of customers who return over a given period. | 300 returning customers out of 1,000 → 30% retention |
This section covers SEO-specific formulas commonly used by SEO professionals, content teams, and analysts. These formulas help with keyword analysis, content optimisation, reporting, and automation.
| Term | Formula / Syntax | What It Does | Example |
|---|---|---|---|
| Keyword Density | (Nkr ÷ Tkn) × 100 | Calculates how frequently a keyword appears in a text. | 15 uses in 500 words → 3% |
| Keyword Density Variables | Nkr = keyword count, Tkn = total words | Defines variables used in density calculation. | Used for clarity |
This section covers day-to-day website analytics metrics used to measure user behaviour, engagement, and goal performance.
| Metric | Formula | What It Measures | Example |
|---|---|---|---|
| Pages per Session | Pageviews ÷ Sessions | Average number of pages viewed during a session. | 3.5 pages/session |
| Bounce Rate | Bounces ÷ Sessions | Percentage of sessions where users leave after viewing one page. | 46.7% |
| Average Session Duration | Total Session Duration ÷ Sessions | Average time users spend on the site. | 50 seconds |
| Goal Conversion Rate | Goal Completions ÷ Sessions | Percentage of sessions that resulted in a goal. | 5% |
| Goal Abandonment Rate | (Goal Starts − Goal Completions) ÷ Goal Starts | Percentage of users who abandon goals. | 40% |
| Exit Percentage | Exits ÷ Pageviews | Exit rate per page. | 30% |
| New Sessions % | New Users ÷ Sessions | Percentage of sessions from new users. | 60% |
| Ecommerce Conversion Rate | Transactions ÷ Sessions | Percentage of sessions that convert. | 2% |
| Cost per Transaction | Total Cost ÷ Transactions | Cost incurred per transaction. | Rs. 200 |
| EPC – Earnings Per Click | (Revenue + Goal Value) ÷ Clicks | Revenue generated per click. | Rs. 20 |
| Metric | Formula | What It Measures | Example |
|---|---|---|---|
| Growth Equation | (Traffic × Conversion Rate × LTV) − CAC | Core business growth model. | Higher CR or LTV increases growth |
| Growth Leverage Ratio | Highest Impact Variable ÷ Lowest Impact Variable | Identifies optimisation leverage. | Improving weakest metric unlocks scale |
| Market Message Fit | (Problem Intensity × Clarity) ÷ Alternatives | Clarity of positioning. | Improves conversion and recall |
| Retention Rate | Returning Customers ÷ Total Customers | Customer retention. | 30% |
| Churn Rate | 1 − Retention Rate | Customer loss rate. | 70% |
| ARPU | Total Revenue ÷ Total Users | Revenue per user. | Rs. 50 |
| Payback Period | CAC ÷ Monthly Revenue per Customer | Cost recovery time. | 3 months |
| Scalability Ratio | Incremental Revenue ÷ Incremental Cost | Growth efficiency. | > 1 = scalable |
| Retention-Adjusted LTV | ARPU × Gross Margin × Customer Lifespan | Realistic lifetime value. | Forecasting metric |
| Metric | Formula | What It Measures | Explanation |
|---|---|---|---|
| True Visibility | Search Presence + AI Answer Presence + Brand Recall | Overall discoverability. | Beyond rankings |
| AI Answer Inclusion Probability | Entity Clarity × Citation Signals × Structured Content | Likelihood of AI inclusion. | Improves answer visibility |
| Prompt Surface Area | Topics × Questions × Content Formats | Prompt coverage. | More coverage = more discovery |
| Content ROI (Modern) | Prompt Coverage × Reusability × Shelf Life | Long-term content value. | Evergreen compounding |
| Information Density | Value Delivered ÷ Words Used | Content efficiency. | Improves extraction |
| Attention Efficiency | Value Delivered ÷ Time Required | Speed to value. | Faster answers perform better |
| Citation Strength | Trusted Mentions × Consistency | Reference reliability. | Builds trust |
| Entity Clarity Score | Defined Entities ÷ Ambiguous Mentions | Entity definition strength. | Improves AI comprehension |
| Answer Match Rate | Relevant Answers ÷ Total Prompts Tested | Answer appearance frequency. | GEO testing metric |
| Zero-Click Coverage | AI Answers + SERP Features | Non-click visibility. | Top-funnel discovery |
| Metric | Formula | What It Measures | Explanation |
|---|---|---|---|
| Authority Score | Experience × Consistency × Verifiability | Credibility strength. | Trust compounder |
| Trust Signal Strength | Social Proof × Transparency × Accuracy | Trustworthiness. | Conversion driver |
| Brand Recall Loop | Distinctiveness × Repetition × Context | Recall likelihood. | Memory formation |
| Citation Reliability | Accurate Citations ÷ Total Citations | Reference quality. | AI trust signal |
| Author Credibility Index | Published Expertise × Topical Relevance | Author authority. | E-E-A-T support |
| Reputation Consistency | Positive Mentions ÷ Total Mentions | Sentiment stability. | Authority durability |
| Topical Authority Coverage | Covered Topics ÷ Total Relevant Topics | Expertise depth. | Dominance signal |
| Trust Decay Rate | Lost Trust Signals ÷ Total Signals | Trust erosion speed. | Risk indicator |
Digital marketing tools will continue to change. Platforms will rise and fall. What remains consistent is the need to measure, compare, and decide with clarity.
Formulas provide that clarity. They turn performance into patterns and actions into systems.
This cheat sheet brings together every essential digital marketing formula, from classic paid metrics to modern AI-era discovery models, in one place. It is designed to evolve without losing its foundations.
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