Marketing Exam > Marketing Notes > Foundations: How Great Brands Win Customers > CheatSheet:Marketing Analytics & Metrics
CheatSheet:Marketing Analytics & Metrics
1. Core Marketing Metrics
1.1 Customer Acquisition Metrics
| Metric | Definition & Formula |
|---|---|
| Customer Acquisition Cost (CAC) | Total cost to acquire a new customer. CAC = Total Marketing & Sales Costs / Number of New Customers Acquired |
| Cost Per Lead (CPL) | Average cost to generate one lead. CPL = Total Marketing Spend / Number of Leads Generated |
| Conversion Rate | Percentage of prospects who take desired action. Conversion Rate = (Conversions / Total Visitors) × 100 |
| Lead-to-Customer Rate | Percentage of leads that become paying customers. Lead-to-Customer Rate = (New Customers / Total Leads) × 100 |
1.2 Customer Value Metrics
| Metric | Definition & Formula |
|---|---|
| Customer Lifetime Value (CLV/LTV) | Total revenue expected from a customer over entire relationship. CLV = Average Purchase Value × Purchase Frequency × Customer Lifespan |
| Average Order Value (AOV) | Average amount spent per transaction. AOV = Total Revenue / Number of Orders |
| Average Revenue Per User (ARPU) | Revenue generated per user/account. ARPU = Total Revenue / Total Number of Users |
| Customer Profitability | Net profit attributed to customer relationship. Customer Profitability = CLV - CAC |
1.3 Retention & Loyalty Metrics
| Metric | Definition & Formula |
|---|---|
| Customer Retention Rate (CRR) | Percentage of customers retained over period. CRR = [(Customers at End - New Customers) / Customers at Start] × 100 |
| Churn Rate | Percentage of customers lost over period. Churn Rate = (Customers Lost / Total Customers at Start) × 100 |
| Repeat Purchase Rate | Percentage of customers who make multiple purchases. Repeat Purchase Rate = (Customers with >1 Purchase / Total Customers) × 100 |
| Net Promoter Score (NPS) | Customer loyalty measure based on likelihood to recommend. NPS = % Promoters (9-10) - % Detractors (0-6) |
2. Digital Marketing Metrics
2.1 Website & Traffic Metrics
| Metric | Definition & Formula |
|---|---|
| Traffic Sources | Origin of website visitors: direct, organic search, paid search, social, referral, email |
| Bounce Rate | Percentage of visitors who leave after viewing one page. Bounce Rate = (Single-Page Visits / Total Visits) × 100 |
| Pages Per Session | Average number of pages viewed during a visit. Indicates engagement level |
| Session Duration | Average time users spend on site during single visit. Measures engagement quality |
| Exit Rate | Percentage of visitors who leave from specific page. Exit Rate = (Exits from Page / Total Page Views) × 100 |
2.2 Search & SEO Metrics
| Metric | Definition & Formula |
|---|---|
| Organic Traffic | Visitors from unpaid search engine results. Key indicator of SEO effectiveness |
| Keyword Rankings | Position of website for target keywords in search results. Track top 10-20 strategic keywords |
| Click-Through Rate (CTR) | Percentage who click after seeing listing. CTR = (Clicks / Impressions) × 100 |
| Domain Authority | Score (1-100) predicting search engine ranking ability. Based on backlinks and quality |
2.3 Paid Advertising Metrics
| Metric | Definition & Formula |
|---|---|
| Cost Per Click (CPC) | Amount paid per ad click. CPC = Total Ad Spend / Number of Clicks |
| Cost Per Thousand (CPM) | Cost per 1,000 ad impressions. CPM = (Total Ad Spend / Impressions) × 1,000 |
| Return on Ad Spend (ROAS) | Revenue generated per dollar spent on advertising. ROAS = Revenue from Ads / Ad Spend |
| Quality Score | Google Ads metric (1-10) measuring ad relevance, landing page quality, and expected CTR |
| Ad Impressions | Number of times ad is displayed. Measures reach and visibility |
2.4 Social Media Metrics
| Metric | Definition & Formula |
|---|---|
| Engagement Rate | Level of audience interaction. Engagement Rate = (Likes + Comments + Shares / Total Followers) × 100 |
| Reach | Number of unique users who saw content. Differs from impressions (total views) |
| Social Share of Voice | Brand mentions compared to competitors. Share of Voice = Brand Mentions / Total Industry Mentions |
| Follower Growth Rate | Speed of audience expansion. Growth Rate = (New Followers / Total Followers) × 100 |
| Virality Rate | How often content is shared. Virality Rate = (Shares / Impressions) × 100 |
2.5 Email Marketing Metrics
| Metric | Definition & Formula |
|---|---|
| Open Rate | Percentage who opened email. Open Rate = (Emails Opened / Emails Delivered) × 100 |
| Click Rate | Percentage who clicked link in email. Click Rate = (Clicks / Emails Delivered) × 100 |
| Click-to-Open Rate (CTOR) | Percentage of openers who clicked. CTOR = (Clicks / Opens) × 100 |
| Unsubscribe Rate | Percentage who opted out. Unsubscribe Rate = (Unsubscribes / Emails Delivered) × 100 |
| List Growth Rate | Net subscriber increase. Growth Rate = [(New Subscribers - Unsubscribes) / Total Subscribers] × 100 |
3. Financial Marketing Metrics
3.1 Revenue Metrics
| Metric | Definition & Formula |
|---|---|
| Marketing ROI | Return generated from marketing investment. Marketing ROI = [(Revenue - Marketing Cost) / Marketing Cost] × 100 |
| Revenue Growth Rate | Increase in revenue over period. Growth Rate = [(Current Revenue - Previous Revenue) / Previous Revenue] × 100 |
| Market Share | Company's portion of total market sales. Market Share = (Company Sales / Total Market Sales) × 100 |
| Marketing Spend as % of Revenue | Marketing investment relative to revenue. Marketing % = (Marketing Spend / Total Revenue) × 100 |
3.2 Profitability Metrics
| Metric | Definition & Formula |
|---|---|
| Gross Margin | Revenue minus cost of goods sold. Gross Margin = [(Revenue - COGS) / Revenue] × 100 |
| Contribution Margin | Revenue minus variable costs. Contribution Margin = (Revenue - Variable Costs) / Revenue |
| Break-Even Point | Sales volume where revenue equals costs. Break-Even = Fixed Costs / (Price - Variable Cost per Unit) |
| Payback Period | Time to recover marketing investment. Measured in months/years until CLV exceeds CAC |
3.3 Efficiency Metrics
| Metric | Definition & Formula |
|---|---|
| Marketing Qualified Leads (MQL) | Leads deemed more likely to become customers based on engagement criteria |
| Sales Qualified Leads (SQL) | Leads vetted by sales team as ready for direct sales contact |
| MQL to SQL Conversion | Quality of marketing leads. MQL-to-SQL Rate = (SQLs / MQLs) × 100 |
| Sales Cycle Length | Average time from first contact to closed deal. Measured in days/weeks |
4. Content & Brand Metrics
4.1 Content Performance Metrics
| Metric | Definition & Formula |
|---|---|
| Content Engagement | Interaction with content: time on page, scroll depth, social shares, comments |
| Content ROI | Value generated from content. Content ROI = [(Revenue from Content - Content Cost) / Content Cost] × 100 |
| Downloads/Views | Number of times content asset is accessed. Track per piece and aggregate |
| Content Velocity | Speed at which content drives conversions. Measures influence on sales cycle acceleration |
4.2 Brand Awareness Metrics
| Metric | Definition & Formula |
|---|---|
| Brand Awareness | Percentage of target audience familiar with brand. Measured through surveys |
| Aided Awareness | Recognition when brand name is provided. Higher than unaided awareness |
| Unaided Awareness | Spontaneous brand recall without prompting. Top-of-mind awareness is strongest |
| Brand Recall | Ability to remember brand when given product category. Measures mental availability |
| Share of Voice (SOV) | Brand's advertising presence vs. competitors. SOV = (Brand Ad Spend / Total Category Ad Spend) × 100 |
4.3 Brand Perception Metrics
| Metric | Definition & Formula |
|---|---|
| Brand Sentiment | Emotional tone of brand mentions: positive, negative, neutral. Track ratio and trends |
| Customer Satisfaction (CSAT) | Satisfaction rating after interaction. CSAT = (Satisfied Customers / Total Responses) × 100 |
| Brand Preference | Likelihood to choose brand over competitors. Measured through choice surveys |
| Brand Equity | Value premium brand commands. Measured through price premium, loyalty, and associations |
5. Analytics Tools & Frameworks
5.1 Key Analytics Platforms
| Platform | Primary Use |
|---|---|
| Google Analytics | Website traffic, user behavior, conversion tracking, audience demographics |
| Google Search Console | Search performance, keyword rankings, site health, indexing status |
| CRM Analytics | Customer data, sales pipeline, lead tracking, customer journey analysis |
| Social Media Analytics | Platform-specific metrics, engagement data, audience insights, content performance |
| Marketing Automation Platforms | Email metrics, campaign performance, lead scoring, multi-touch attribution |
5.2 Attribution Models
| Model | Description |
|---|---|
| Last-Click Attribution | 100% credit to final touchpoint before conversion. Simple but ignores earlier interactions |
| First-Click Attribution | 100% credit to initial touchpoint. Highlights awareness drivers but ignores nurturing |
| Linear Attribution | Equal credit across all touchpoints. Fair but doesn't weight critical interactions |
| Time-Decay Attribution | More credit to recent touchpoints. Reflects increasing influence as customer nears decision |
| Position-Based Attribution | 40% to first and last touchpoints, 20% distributed to middle. Balances awareness and conversion |
| Data-Driven Attribution | Machine learning assigns credit based on actual impact. Most accurate but requires significant data |
5.3 Analytics Best Practices
- Define clear KPIs aligned with business objectives before collecting data
- Establish baseline metrics to measure progress and changes over time
- Use cohort analysis to track specific customer groups through lifecycle
- Implement UTM parameters for accurate campaign tracking across channels
- Create dashboards for real-time monitoring of critical metrics
- Conduct A/B testing to validate assumptions and optimize performance
- Segment data by demographics, behavior, and source for deeper insights
- Review metrics regularly and adjust strategy based on performance trends
- Focus on actionable metrics over vanity metrics
- Ensure data accuracy through proper tracking implementation and regular audits
6. Strategic Metric Relationships
6.1 CLV to CAC Ratio
| Ratio | Interpretation |
|---|---|
| < 1:1 | Unsustainable: losing money on each customer |
| 1:1 to 3:1 | Concerning: limited profitability, need to improve efficiency |
| 3:1 | Healthy: solid balance between customer value and acquisition cost |
| > 3:1 | Strong: opportunity to invest more in growth |
6.2 Funnel Conversion Metrics
| Stage | Key Metrics |
|---|---|
| Awareness | Impressions, reach, traffic, brand awareness, share of voice |
| Interest | Engagement rate, time on site, pages per session, content downloads |
| Consideration | Lead generation, email sign-ups, demo requests, MQL conversion |
| Purchase | Conversion rate, sales cycle length, SQL conversion, average deal size |
| Loyalty | Repeat purchase rate, retention rate, NPS, customer lifetime value |
| Advocacy | Referral rate, social shares, reviews, word-of-mouth mentions |
6.3 Benchmark Ranges by Industry
- Email open rates: 15-25% (varies by industry and list quality)
- Email click rates: 2-5% (B2B often higher than B2C)
- Website conversion rates: 2-5% (e-commerce), 5-10% (lead generation)
- Social media engagement: 1-3% (Facebook), 0.5-1.5% (Instagram), varies by platform
- PPC CTR: 2-5% (search), 0.5-1% (display)
- Customer churn: 5-7% annually (SaaS), varies widely by business model
6.4 Actionable Metric Guidelines
- Track leading indicators (predict future performance) alongside lagging indicators (report past results)
- Monitor micro-conversions (smaller actions) to optimize path to macro-conversions (sales)
- Calculate customer payback period: months for CLV to exceed CAC
- Measure incrementality: isolate marketing's true impact by comparing test vs. control groups
- Use cohort retention curves to identify when customers are most likely to churn
- Track marketing efficiency ratio: revenue pipeline generated / marketing spend
- Monitor channel-specific CAC to optimize budget allocation
- Measure brand search volume as proxy for brand health and awareness
7. Common Pitfalls & Corrections
7.1 Metric Selection Errors
| Pitfall | Correction |
|---|---|
| Vanity metrics (followers, likes) | Focus on revenue-impacting metrics (conversion, CLV, ROI) |
| Too many metrics tracked | Identify 5-7 critical KPIs per objective; use others as supporting data |
| Metrics without context | Compare against benchmarks, goals, and historical trends |
| Ignoring statistical significance | Ensure adequate sample size before drawing conclusions from A/B tests |
7.2 Data Interpretation Mistakes
- Correlation vs. causation: avoid assuming relationship implies cause
- Sampling bias: ensure data represents full customer population
- Survivorship bias: account for customers who churned, not just active ones
- Recency bias: balance recent data with long-term trends
- Attribution errors: recognize multi-touch customer journeys
- Ignoring seasonality: compare year-over-year, not just month-over-month
7.3 Tracking Implementation Issues
- Broken tracking codes: regularly audit analytics implementation
- Cross-domain tracking gaps: ensure complete customer journey visibility
- Missing UTM parameters: standardize campaign tagging conventions
- Bot traffic inflation: filter non-human traffic from metrics
- Duplicate transactions: implement transaction ID tracking
- Privacy compliance: ensure GDPR, CCPA compliance in data collection
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Apr 26, 2026 Last updated
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