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Get Started Free →Content web architecture framework. Use when diagnosing offer doc usage, content-to-conversion pathways, or why someone isn't getting sales despite traffic.
.claude/skills/nicepkg-webfluence/SKILL.md| Test case | Without → With | Effect | Δ tokens | Δ turns |
|---|---|---|---|---|
| case-01 | ✗→✓ | ▲ Improved | 27% | 0% |
| case-03 | ✗→✓ | ▲ Improved | 14% | 0% |
| case-04 | ✗→✓ | ▲ Improved | 23% | 0% |
| case-05 | ✗→✓ | ▲ Improved | 10% | 0% |
| case-07 | ✗→✓ | ▲ Improved | 41% | 0% |
Provides the Webfluence framework for architecting a content web that builds belief before asking for the sale. Use this to diagnose and fix content-to-conversion pathway problems.
People send prospects directly to offer docs, VSLs, or sales pages without warming them up first. The offer doc is a closing tool, not a selling tool. Without sufficient "time on brand," conversion fails.
Nobody sees the offer doc without seeing content and a warming-up VSL before it, or they've come through a paid workshop or event.
The proper sequence is:
Content → VSL → Offer Doc
OR
Workshop/Event → Offer DocSkipping steps = asking the offer doc to do work it wasn't built for.
Research showed buyers consumed approximately 47 minutes of content before saying yes. Use this as a filter: "Is my web architected to deliver enough time on brand before asking for the sale?"
> When marketing builds belief, persuasion becomes unnecessary.
If your content does the heavy lifting, sales calls become easy (or unnecessary). Prospects arrive pre-sold, feeling like hot referrals.
| Layer | Question | |-------|----------| | Coverage | Do you have content for cold, warm, and hot audiences? | | Consistency | Do you show up rhythmically? (Not frequency, consistency) | | Conversion | Does every piece of content have a clear CTA leading somewhere? | | Connection | Does every piece physically link to another? | | Belief Flow | Does your content build belief, not just awareness? |
The two lowest-scoring areas are usually where the problem lives.
Diagnosis: Skipping steps. Email → Offer doc bypasses content and VSL. Fix: Content → VSL → Offer doc. The email's job is to get them to content, not the offer doc.
Diagnosis: Missing connectors + possible list-offer mismatch. Fix: Check if CTAs drive to content that builds belief. Check if audience matches offer.
Diagnosis: Insufficient belief-building before VSL, or VSL itself needs work. Fix: More content touchpoints before VSL. Review VSL for belief-building elements.
Response: You don't need all layers immediately. Start with what you have:
Don't try to build everything at once. Million Dollar Coach built this over 18+ months:
Point members to these for deeper dives:
Remember: The offer doc is a closing tool. If someone's sending cold traffic directly to it, that's the problem.
| Case | Status | Duration (ms) | Turns | Tokens | Tool calls | ||||||||
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| Without | With | Δ | Without | With | Δ | Without | With | Δ | Without | With | Δ | ||
case-01 | fail→pass | 18,514 | 35,750 | +93% | 1 | 1 | 0% | 2,752 | 3,492 | +27% | 0 | 0 | — |
case-02 | fail→fail | 19,932 | 14,403 | -28% | 1 | 1 | 0% | 2,894 | 3,467 | +20% | 0 | 0 | — |
case-03 | fail→pass | 20,040 | 14,689 | -27% | 1 | 1 | 0% | 2,935 | 3,351 | +14% | 0 | 0 | — |
case-04 | fail→pass | 16,655 | 10,597 | -36% | 1 | 1 | 0% | 2,475 | 3,056 | +23% | 0 | 0 | — |
case-05 | fail→pass | 16,890 | 9,073 | -46% | 1 | 1 | 0% | 2,530 | 2,772 | +10% | 0 | 0 | — |
case-06 | fail→fail | 14,756 | 9,688 | -34% | 1 | 1 | 0% | 2,183 | 2,782 | +27% | 0 | 0 | — |
case-07 | fail→pass | 13,805 | 11,296 | -18% | 1 | 1 | 0% | 2,141 | 3,014 | +41% | 0 | 0 | — |
case-08 | pass→pass | 13,126 | 7,864 | -40% | 1 | 1 | 0% | 2,019 | 2,432 | +20% | 0 | 0 | — |
case-09 | fail→pass | 12,399 | 7,187 | -42% | 1 | 1 | 0% | 1,834 | 2,420 | +32% | 0 | 0 | — |
case-10 | fail→pass | 16,241 | 8,722 | -46% | 1 | 1 | 0% | 2,252 | 2,709 | +20% | 0 | 0 | — |
case-11 | fail→pass | 13,884 | 9,947 | -28% | 1 | 1 | 0% | 2,004 | 2,795 | +39% | 0 | 0 | — |
case-12 | fail→pass | 14,662 | 7,896 | -46% | 1 | 1 | 0% | 2,277 | 2,539 | +12% | 0 | 0 | — |
case-13 | fail→pass | 12,585 | 2,523 | -80% | 1 | 1 | 0% | 1,745 | 1,699 | -3% | 0 | 0 | — |
case-14 | pass→pass | 14,585 | 9,655 | -34% | 1 | 1 | 0% | 2,077 | 2,750 | +32% | 0 | 0 | — |
case-15 | fail→pass | 16,166 | 8,936 | -45% | 1 | 1 | 0% | 2,537 | 2,717 | +7% | 0 | 0 | — |
case-16 | pass→pass | 13,931 | 8,783 | -37% | 1 | 1 | 0% | 2,155 | 2,554 | +19% | 0 | 0 | — |
case-17 | pass→pass | 13,247 | 9,017 | -32% | 1 | 1 | 0% | 1,961 | 2,700 | +38% | 0 | 0 | — |
case-18 | fail→pass | 11,076 | 2,802 | -75% | 1 | 1 | 0% | 1,624 | 1,731 | +7% | 0 | 0 | — |
case-19 | fail→pass | 11,565 | 7,504 | -35% | 1 | 1 | 0% | 1,853 | 2,423 | +31% | 0 | 0 | — |
case-20 | pass→pass | 16,525 | 13,884 | -16% | 1 | 1 | 0% | 2,540 | 3,598 | +42% | 0 | 0 | — |
case-21 | fail→fail | 13,657 | 12,980 | -5% | 1 | 1 | 0% | 2,455 | 3,516 | +43% | 0 | 0 | — |
case-22 | fail→fail | 11,915 | 10,554 | -11% | 1 | 1 | 0% | 1,993 | 3,137 | +57% | 0 | 0 | — |
DecimalAI ran this skill against gemini-3.6-flash twice over the same eval suite — once with the skill loaded and once without — and compared the two runs case by case. 22 cases were attempted. The headline lift of +59 percentage points is the difference between those two pass rates over the 22 comparable cases.
Without the skill loaded, the model failed this case. With it loaded, the same prompt on the same model passed. This is one improved case from the latest verified run; every case, including any that regressed, is in the table above.
Other measured skills in the registry, with their headline benchmark lift.