- name
- funnel
- description
- "Design and optimize complete marketing funnels integrated with SEOSONA SEO data."
# Marketing Funnel
Design and optimize complete marketing funnels integrated with SEOSONA SEO data.
## Funnel Types
| Type | Use Case | Stages |
|------|----------|--------|
| **Lead Magnet** | B2B lead generation | Traffic โ Landing โ Opt-in โ Nurture โ Qualify โ Close |
| **Webinar** | High-ticket products | Traffic โ Registration โ Show up โ Offer โ Close |
| **Product Launch** | New product/feature | Awareness โ Interest โ Desire โ Launch โ Upsell |
| **Evergreen** | Automated sales | Traffic โ Content โ Email โ Offer โ Close |
| **Tripwire** | Low-ticket entry | Traffic โ Free offer โ Low-ticket โ Core offer โ Upsell |
| **SEO Funnel** | Organic traffic | Awareness content โ Consideration content โ Decision content โ CTA |
## Standard Funnel Stages
```
TOFU (Top of Funnel) โ Awareness
โโโ Traffic source: organic, paid, social, referral
โโโ Content: blog posts, videos, social content
โโโ Goal: reach, impressions, traffic volume
โโโ SEOSONA data: GSC impressions, keyword rankings
MOFU (Middle of Funnel) โ Consideration
โโโ Landing pages, lead magnets, webinars
โโโ Goal: leads, email subscribers, qualified prospects
โโโ SEOSONA data: GA4 goals, landing page performance
BOFU (Bottom of Funnel) โ Decision
โโโ Sales pages, demos, trials, pricing
โโโ Goal: conversions, revenue, customers
โโโ SEOSONA data: GA4 e-commerce events, conversion rate
POST-PURCHASE โ Retention & Upsell
โโโ Onboarding, upsell sequences, referral programs
โโโ Goal: LTV, NPS, referrals
```
## SEOSONA Data โ Funnel Mapping
Map real data from connectors to funnel analysis:
### GSC Data โ TOFU Analysis
```python
# From gsc_report_*.csv
TOFU Metrics:
- impressions โ reach potential
- clicks โ actual TOFU traffic
- CTR โ headline/meta effectiveness
- avg_position โ visibility score
Top TOFU keywords (informational intent):
- "how to [problem]"
- "what is [topic]"
- "[topic] guide"
- "[topic] examples"
```
### GA4 Data โ MOFU Analysis
```python
# From ga4_report_*.csv
MOFU Metrics:
- page_views โ content consumption
- avg_session_duration โ engagement depth
- bounce_rate โ relevance signal
- goal_completions โ lead capture rate
```
### GSC + GA4 Combined โ Content Gap Analysis
```
High GSC impressions + Low GA4 traffic
โ CTR problem โ Fix meta titles/descriptions
High GA4 traffic + Low conversions
โ CRO problem โ Fix landing page, CTA, offer
High conversions on some pages, zero on others
โ Intent mismatch โ Content/offer alignment needed
```
## Funnel Design Framework
### Step 1: Define the Job to Be Done
What outcome does the customer want? Design funnel around the outcome, not your product.
### Step 2: Map Awareness Levels
| Level | What They Know | Content Type |
|-------|---------------|--------------|
| Unaware | Nothing | Attention-grabbing content, hooks |
| Problem-aware | They have a problem | Problem-focused content |
| Solution-aware | Solutions exist | Comparison content |
| Product-aware | Your product exists | Feature/benefit content |
| Most aware | Ready to buy | Offer, CTA, proof |
### Step 3: Design Stage-by-Stage
For each stage define:
- **Traffic source** โ where do they come from?
- **Content/page** โ what do they see?
- **Single goal** โ one action we want
- **Metric** โ how we measure success
- **Drop-off fix** โ what to do if conversion is low
### Step 4: Set Conversion Benchmarks
| Funnel Stage | Good Rate | Average Rate |
|---|---|---|
| Landing page opt-in | 30-50% | 10-20% |
| Email open rate | 25-35% | 15-25% |
| Email click rate | 5-10% | 2-5% |
| Sales page conversion | 3-8% | 1-3% |
| Checkout completion | 60-80% | 40-60% |
| Upsell take rate | 20-40% | 10-20% |
## Funnel Analysis Checklist
### Traffic Quality (TOFU)
- [ ] Are keywords informational or transactional?
- [ ] What is the awareness level of organic traffic?
- [ ] Are top landing pages aligned with funnel entry points?
- [ ] What is the organic CTR? (Target: 3%+ for position 1-3)
### Lead Capture (MOFU)
- [ ] Is the lead magnet valuable enough to exchange email for?
- [ ] How many form fields? (Less = higher conversion)
- [ ] Is there a clear value proposition above the form?
- [ ] What is the page load speed? (Each second costs ~20% conversion)
### Conversion (BOFU)
- [ ] Does the sales/pricing page handle all objections?
- [ ] Is social proof visible above the fold?
- [ ] Is the CTA specific and benefit-led?
- [ ] Is there a money-back guarantee or risk reversal?
## Optimization Priorities
Rank by: (Impact ร Likelihood) / Effort
### High Impact Fixes
1. **Headline** โ 80% of visitors decide to stay or leave based on headline
2. **Page load speed** โ 1s delay = 7% conversion drop (Google study)
3. **Form field reduction** โ each field removed = ~10% more completions
4. **Social proof placement** โ near CTA increases conversion 20-34%
5. **CTA copy** โ specific beats generic ("Get My Free Audit" vs "Submit")
### A/B Test Priority Queue
1. Headline (highest leverage)
2. CTA copy + color
3. Form fields (remove one at a time)
4. Social proof placement
5. Hero image vs no image
6. Pricing display (monthly vs annual first)
7. Page length (long vs short)
## Output Templates
### Funnel Map
```markdown
## [Product/Service] Funnel Map
**Entry:** [Traffic source + volume]
**Goal:** [Primary conversion metric]
| Stage | Page/Action | Metric | Current | Target |
|-------|-------------|--------|---------|--------|
| TOFU | Blog posts | Visits | X/month | Y/month |
| MOFU | Lead magnet | Opt-ins | X% | Y% |
| BOFU | Sales page | Conversions | X% | Y% |
**Primary drop-off:** [Stage with biggest gap]
**Immediate fix:** [One action to take this week]
```
## Agent Integration
**Primary:** Use for funnel design and conversion analysis
**Related skills:** `cro`, `copywriting`, `marketing_psychology`, `seo`
**Data sources:** `gsc_connector`, `ga4_connector`, `keyword_connector`
View on GitHub