Analytics

# Marketing Analytics & Measurement ## Marketing Funnel Framework Understand where to measure at each stage: ``` AWARENESS → CONSIDERATION → DECISION → RETENTION → ADVOCACY ``` ### Stage 1: AWARENESS **Goal**: Reach target audience, build brand recognition **Key Metrics**: - Impressions: Total times content was displayed - Reach: Unique people who saw content - Brand searches: How many people search for you specifically - Share of voice: Your content vs. competitor content in feeds - Website traffic from organic/paid **Measurement Tools**: Google Analytics, social analytics, ad platform dashboards ### Stage 2: CONSIDERATION **Goal**: Educate audience, build credibility, move closer to decision **Key Metrics**: - Click-through rate (CTR): Percentage who clicked your content - Engagement rate: Comments, shares, reactions - Time on page: How long they spent reading - Pages per session: Depth of engagement - Lead generation: Form submissions, downloads - Email open/click rates **Measurement Tools**: Google Analytics, email platform analytics, form tracking ### Stage 3: DECISION **Goal**: Drive conversion (purchase, demo, signup) **Key Metrics**: - Conversion rate: Percentage of visitors who converted - Cost per conversion (CPC, CPL): Marketing spend / conversions - Average deal size: Revenue per customer acquired - Sales qualified leads (SQLs): Leads ready for sales - Demo requests or trial signups - Cart abandonment rate (e-commerce) **Measurement Tools**: CRM analytics, ad platform conversion tracking, Google Analytics goals ### Stage 4: RETENTION **Goal**: Keep customers happy, reduce churn **Key Metrics**: - Customer retention rate: Percentage of customers retained - Churn rate: Percentage of customers lost - Customer lifetime value (CLV): Total revenue from customer - Net revenue retention: Revenue growth from existing customers - Product engagement: Feature usage, login frequency - Customer satisfaction (NPS, CSAT) **Measurement Tools**: CRM, product analytics, customer surveys ### Stage 5: ADVOCACY **Goal**: Turn customers into promoters **Key Metrics**: - Net Promoter Score (NPS): Likelihood to recommend (0-10 scale) - Customer testimonials or case study participation - Referrals generated: Customers brought in by word-of-mouth - Social media mentions/shares: Customer-generated content - Review scores: Ratings on G2, Capterra, Trustpilot - Repeat purchase rate: Percentage who bought again **Measurement Tools**: Survey tools, referral programs, review sites, social listening ## Essential Marketing KPIs ### Top-Level KPIs (report to leadership monthly) **Marketing Contribution to Revenue** - Revenue influenced by marketing: $X (direct + attributed) - Revenue per marketing dollar spent: $X - Marketing-sourced customers this period: # - % of pipeline sourced by marketing: X% **Lead Generation** - Total leads generated: # (qualified + unqualified) - Cost per lead: $X (marketing spend / leads) - Sales qualified leads (SQLs): # (leads sales is actively pursuing) - Conversion rate (lead to customer): X% **Customer Acquisition** - New customers acquired: # - Customer acquisition cost (CAC): $X (marketing spend / new customers) - CAC payback period: X months (revenue per customer ÷ CAC) - Cost per acquisition by channel: $X (breakdown by email, paid, organic, etc.) **Campaign Performance** - Overall marketing ROI: X% (revenue - cost / cost × 100) - Best performing campaign: [Name] (ROI: X%) - Cost per MQL/SQL/Opportunity: $X at each stage **Marketing Efficiency** - Marketing spend as % of revenue: X% - Customer lifetime value (CLV): $X - CLV to CAC ratio: X:1 (ideal 3:1 or better) - Marketing headcount efficiency: Revenue per marketer ### Channel-Specific KPIs **Paid Digital Advertising (Google, LinkedIn, Facebook)** - Cost per click (CPC): $X - Click-through rate (CTR): X% - Cost per conversion: $X - Return on ad spend (ROAS): X:1 (revenue / ad spend) - Impression share: X% (your impressions / total available) - Quality score (Google Ads): X/10 **Email Marketing** - Email open rate: X% (across all campaigns) - Click-through rate: X% - Conversion rate (from email click to signup): X% - Unsubscribe rate: X% - Revenue generated: $X - Email list growth rate: X% (new subscribers / total list) **Social Media** - Engagement rate: X% ((likes + comments + shares) / impressions) - Follower growth: X% (monthly) - Reach per post: X average - Click-through rate from social: X% - Traffic to website from social: X visits - Conversion rate from social traffic: X% - Cost per acquired customer (if using paid social): $X **Content Marketing (Blog, Resources)** - Organic website traffic: X visits - Keyword rankings: # of keywords ranking in top 10/top 3 - Content engagement: Avg. time on page, pages per session - Leads from content: # of leads sourced from blog/resources - Content downloads: # of gated content downloads - Backlinks: # high-quality referring domains **Event Marketing (Webinars, Conferences)** - Registrations: # - Attendance rate: X% - Leads generated: # - Cost per attendee: $X - Attendee-to-customer conversion: X% - Post-event engagement: X% attended follow-up emails ## Attribution Modeling Attribution answers: "Which marketing touchpoint gets credit for a conversion?" ### Attribution Models **First-Touch Attribution** - Gives all credit to the first touchpoint - Useful for: Understanding awareness channels - Example: Prospect sees ad (credit) → opens email → clicks link → converts (email gets no credit) **Last-Touch Attribution** - Gives all credit to the final touchpoint - Useful for: Understanding which channel closes deals - Example: Email (no credit) → email → email (credit) → converts - **Most common but can be misleading** **Linear Attribution** - Splits credit equally across all touchpoints - Useful for: Understanding full customer journey - Example: Ad (25%) → email (25%) → landing page (25%) → click (25%) → converts **Time-Decay Attribution** - Gives more credit to touchpoints closer to conversion - Useful for: Understanding which channel was most recent influence - Example: Ad (15%) → email (30%) → landing page (40%) → click (15%) → converts **Custom/Multi-Touch Attribution** - Splits credit based on role: awareness gets 30%, consideration gets 30%, decision gets 40% - Most accurate but requires custom setup - Use this when possible ### Setting Up Attribution in Analytics 1. Use UTM parameters consistently on all campaign links - Format: ?utm_source=email&utm_medium=newsletter&utm_campaign=Q3_launch 2. Set up conversion tracking (Google Analytics goals) 3. Choose attribution model aligned with business model: - Long B2B sales cycle: Multi-touch or time-decay - Quick e-commerce purchase: Last-touch - Building awareness: First-touch 4. Review attribution monthly - identify: - Which channels drive awareness (first-touch high %) - Which channels drive conversions (last-touch high %) - Full customer journey ## Reporting & Dashboards ### Monthly Marketing Report Template **Executive Summary (1 page)** - Top KPIs vs. target (traffic, leads, revenue influenced) - Key wins this month - Key challenges and mitigation - Recommended actions/decisions needed **Performance vs. Goals** | Goal | Target | Actual | % of Target | Status | |------|--------|--------|------------|--------| | Website traffic | 50,000 | 48,500 | 97% | On track | | Leads generated | 200 | 215 | 108% | Above target | | Customers acquired | 10 | 8 | 80% | Below target | **Channel Performance** | Channel | Traffic | Leads | Lead Quality | Cost | ROI | |---------|---------|-------|--------------|------|-----| | Paid Google | 15,000 | 45 | 60% qualified | $3,000 | 5:1 | | Email | 8,000 | 35 | 80% qualified | $500 | 12:1 | | Organic | 18,000 | 55 | 50% qualified | $0 | ∞ | **Campaign Highlights** - Campaign name + results (traffic, leads, ROI) - Comparison vs. previous month - Notable learnings **Issues & Opportunities** - What's not working and why - Opportunities for improvement - Recommended actions **Looking Ahead** - Major campaigns launching next month - Expected results/targets - Support needed from other teams ## Analytics Tools & Setup ### Essential Tools **Website Analytics** - Google Analytics (free, built-in goal tracking) - Setup: Create conversion goals, enable utm parameter tracking - Alternative: Mixpanel, Amplitude for more advanced tracking **Email Analytics** - Mailchimp, HubSpot, Klaviyo (built-in email metrics) - Track: open rate, click rate, conversion rate, revenue **Paid Advertising** - Google Ads dashboard (Google campaigns) - LinkedIn Campaign Manager (LinkedIn ads) - Facebook Ads Manager (Facebook/Instagram ads) - Track: CPC, CTR, ROAS, conversion rate **Social Media Analytics** - Platform native analytics (LinkedIn, Twitter, Facebook, Instagram) - Alternative: Hootsuite, Sprout Social (multi-platform) - Track: engagement rate, reach, follower growth, traffic to website **CRM/Lead Tracking** - HubSpot, Salesforce, Pipedrive - Track: lead source, conversion rate to customer, deal value **Survey/Feedback** - Typeform, SurveyMonkey, Google Forms - Track: NPS, CSAT, customer satisfaction ### Google Analytics Setup Essentials 1. **Enable UTM Parameter Tracking** - Applied to all campaign links - Parameters: source, medium, campaign, content, term - Example: ?utm_source=email&utm_medium=newsletter&utm_campaign=Q3_launch 2. **Set Up Conversion Goals** - Page views: Thank you page after signup form - Event tracking: Button clicks, file downloads - E-commerce: Purchase value 3. **Enable Demographics & Interests** - Understand who your audience is - Refine targeting based on demographic data 4. **Set Up Custom Dashboards** - Daily: Traffic and key conversion metrics - Weekly: Campaign performance by channel - Monthly: Full funnel and ROI metrics 5. **Link to CRM** - Use Google Analytics 4 CRM integrations - Track when web visitor becomes customer - Calculate true conversion rates ## Data Quality Standards **Before trusting any metric, verify:** - [ ] Definition is clear (what counts as a "lead"?) - [ ] Tracking is consistent (all links have UTM parameters?) - [ ] Delays are understood (email data may lag 24 hours) - [ ] Discrepancies are explained (why does email platform show 5% opens but GA shows different conversion rate?) - [ ] Baseline exists (do we have historical data to compare?) - [ ] External factors noted (was there a platform outage? Ad account issue?) **Common Data Quality Issues:** - UTM parameters inconsistent or missing - Conversion tracking not installed or broken - Duplicate tracking (counting conversion twice) - Attribution not aligned (different tools show different results) - Time zone mismatches