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Funnel design

Skill Mattakushi432/Claude-Code-Skills-Custom-DevTools-Pack/plugins/devtools-pack/skills/funnel-design

When to activate: funnel design, TOFU MOFU BOFU, conversion funnel, marketing funnel, funnel optimization, drop-off analysis, multi-touch attribution, pipelineFrom its SKILL.md

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Funnel Design

Funnel Stages

TOFU / MOFU / BOFU Model

TOFU (Top of Funnel) — Awareness
  Goal: Capture attention of people who have the problem
  Content: Blog posts, social, podcasts, videos, SEO
  Metric: Unique visitors, impressions, brand searches

MOFU (Middle of Funnel) — Consideration
  Goal: Educate and build trust with interested prospects
  Content: Guides, webinars, case studies, comparison pages
  Metric: Lead captures, email subscribers, content downloads

BOFU (Bottom of Funnel) — Decision
  Goal: Convert ready-to-buy prospects
  Content: Demos, trials, pricing, testimonials, proposals
  Metric: Trials, demos, qualified pipeline, closed-won

Extended Funnel (with Retention)

Awareness → Interest → Consideration → Intent → Purchase → Onboarding → Retention → Advocacy

Funnel Mapping Process

Step 1 — Document Current State

For each stage, answer:

  1. What is the user trying to accomplish?
  2. What content/touchpoints exist here?
  3. What is the conversion rate TO the next stage?
  4. What is the biggest drop-off reason?

Funnel Mapping Template

StageUser GoalTouchpointsEntry VolumeExit VolumeConv RateDrop Reason
AwarenessUnderstand problem existsBlog, SEO, ads100,0005,0005%Irrelevant traffic
InterestLearn moreNewsletter, retargeting5,0001,50030%Low email open rate
ConsiderationEvaluate optionsWebinar, case studies1,50045030%Trust gap
IntentMake decisionTrial, demo4509020%Friction in signup
PurchaseBuyPricing, checkout904550%Price objection

Step 2 — Identify Biggest Drop-off

Leakage = (Stage_In - Stage_Out) × Stage_Value

Fix the stage with the highest leakage first — it compounds improvements downstream.

Content by Funnel Stage

TOFU Content Types

  • SEO blog posts — target informational keywords
  • Problem-aware social content — LinkedIn/Twitter threads
  • Podcasts / YouTube — long-form educational
  • PR / media features — credibility and reach
  • Paid awareness — broad targeting, non-conversion objective

MOFU Content Types

  • Lead magnets: checklists, templates, calculators, benchmarks
  • Email nurture sequences: 5–10 email series educating on problem → solution
  • Webinars: live demonstration of expertise
  • Case studies: proof that your solution works
  • Comparison content: "[Your product] vs [Competitor]" pages

BOFU Content Types

  • Free trial / freemium: self-serve evaluation
  • Live demo / sales call: human-guided evaluation
  • ROI calculator: quantify value before purchase
  • Security/compliance docs: reduce enterprise risk perception
  • Customer references / calls: peer validation
  • Proposal templates: accelerate procurement

Conversion Points Design

Friction Reduction Checklist (per conversion point)

  • Is the ask proportional to where user is in the journey?
  • Is there a lower-friction alternative for users not ready?
  • Is the value exchange clear before the ask?
  • Is the form the minimum viable length?
  • Is there social proof at the point of conversion?
  • Is there a risk reducer (guarantee, no CC, cancel anytime)?

Progressive Profiling

Don't ask for everything upfront:

Conversion 1 (TOFU): Email only
Conversion 2 (MOFU): Email + company name
Conversion 3 (BOFU): Full qualification (company size, use case, timeline)

Drop-off Analysis

Diagnosis Framework

For each high-drop stage, test hypotheses:

Hypothesis CategoryDiagnostic QuestionHow to Test
Messaging mismatchDoes the content promise match what they find?User interviews, exit surveys
Trust gapDo visitors believe the claims?Social proof A/B, review count
FrictionIs the ask too hard at this stage?Form field reduction test
Wrong audienceAre the right people arriving?Segment analysis
TimingAre we asking too soon / too late?Behavioral triggers

Exit Survey Questions

  • "What stopped you from [completing action] today?"
  • "What would have made you more likely to [action]?"
  • "What were you hoping to find that you didn't?"

Funnel Optimization Process

ICE Prioritization for Funnel Tests

IdeaImpact (1–10)Confidence (1–10)Ease (1–10)ICE Score
Add testimonials to pricing page7898.0
Simplify trial signup form8777.3
Add exit-intent popup on blog5686.3

Weekly Funnel Review Cadence

  1. Pull conversion rates at each stage (vs prior week, vs target)
  2. Flag any stage with >10% week-over-week decline
  3. Review top traffic sources by quality (conversion rate, not volume)
  4. Review top-performing content for each stage
  5. Assign one experiment per high-drop stage

Multi-Touch Attribution

Attribution Models

ModelLogicBest For
First touch100% credit to first touchpointMeasuring awareness channels
Last touch100% credit to converting touchpointMeasuring conversion channels
LinearEqual credit to all touchpointsBalanced view
Time decayMore credit to recent touchpointsShort sales cycles
U-shaped40% first, 40% last, 20% middleAccount-based, high-intent
Data-drivenML-assigned creditMature data teams

Attribution Tooling

  • Simple: UTM tracking + GA4 + CRM source field
  • Mid-market: HubSpot attribution reports, Segment
  • Enterprise: Rockerbox, Northbeam, Triple Whale, Ruler Analytics

UTM Standard

utm_source    = traffic source (google, linkedin, newsletter)
utm_medium    = channel type (cpc, email, social, organic)
utm_campaign  = campaign name (q1-launch, brand-awareness)
utm_content   = specific ad/link variant (hero-cta, sidebar-link)
utm_term      = paid keyword (for search ads)

Full Funnel KPI Dashboard

MetricFormulaFrequency
Traffic by channelSessions per sourceWeekly
Lead conversion rateLeads / VisitorsWeekly
MQL conversion rateMQLs / LeadsWeekly
SQL conversion rateSQLs / MQLsWeekly
Pipeline valueOpen SQLs × avg deal sizeWeekly
Win rateClosed-won / Total SQLsMonthly
CAC by channelChannel spend / New customers from channelMonthly
Time to convertAvg days first touch → closedMonthly

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