Page CRO

Audit and improve conversion performance on Tiger Data marketing pages. Combines page review, messaging analysis, friction analysis, and optional Clarity behavioral evidence to produce prioritized recommendations: copy fixes, structural changes, and test ideas.

When to use this skill

When the user asks for CRO, conversion advice, or landing page feedback
When the user wants CTA improvements, hero rewrites, or friction analysis
When the user shares a page URL, screenshot, or Clarity CSV and asks "what would you change?"
When the user mentions bounce rates, drop-off, or conversion issues on a specific page
When the user asks "why isn't this page converting?" or "how do I improve this page?"

Scope

Included: Homepage, product pages, feature pages, campaign landing pages, pricing pages, blog CTA strategy.

Optional inputs: Screenshots, page URLs, Clarity CSVs, notes on traffic source and conversion goal.

Excluded: Signup flow internals, product onboarding, in-app modals (unless the modal is the primary conversion mechanism on the page).

Step 0: Pre-flight check

Read REFERENCES.md from the plugin root and run the pre-flight check described there. Call list_marketing_references() to verify Tiger Den is reachable. If it fails or the tool is not found, STOP — do not continue. Follow the error handling in REFERENCES.md.

Once Tiger Den is confirmed, fetch this skill's reference docs:

get_marketing_context(slugs: ["product-marketing-context", "brand-voice-guide"])

If Clarity CSVs are provided: Before proceeding to Step 1, invoke the clarity-analyzer skill to process the CSV data. Use those findings as behavioral evidence throughout the audit.

Step 1: Classify the page

Determine the page type and primary conversion goal. Ask the user to confirm if ambiguous.

Page type	Typical primary goal
Homepage	Navigate to product page or start trial
Product / feature page	Start trial or request demo
Pricing page	Select plan and start trial
Campaign landing page	Single CTA (demo, download, signup)
Blog post	Read related content, start trial, or subscribe
Comparison page	Choose Tiger Data over alternative

Also identify:

Traffic source assumptions — Where are visitors likely coming from? (organic search, paid ads, email, social, direct) This shapes intent expectations.
Visitor intent — What problem are they trying to solve? What stage of evaluation are they in?

If the user provides traffic source or goal information, use it. If not, infer from the page type and content, and state your assumptions.

Step 2: Audit the page

Work through each dimension in the CRO checklist (see references/cro-checklist.md). For each dimension, assess the current state and note specific issues.

The six audit dimensions:

Value proposition clarity — Is it obvious what Tiger Data does and why it matters, within 5 seconds? Is the headline specific and benefit-driven, or vague and feature-first?
CTA hierarchy — Is there one clear primary CTA? Are secondary CTAs visually subordinate? Is the CTA copy action-oriented and specific ("Start your free trial" not "Get started")?
Trust and proof — Are there customer logos, case studies, metrics, testimonials, or third-party validation? Is the proof relevant to the visitor's likely concerns?
Objection handling — Does the page preemptively address common hesitations (pricing, migration difficulty, vendor lock-in, performance at scale)? Are answers specific or hand-wavy?
Scannability and structure — Can a visitor who skims get the core message? Are headings descriptive? Is the visual hierarchy working? Is there too much text before the first CTA?
Friction and cognitive load — Are there unnecessary form fields, confusing navigation choices, competing CTAs, jargon without context, or dead ends? Is the path from "interested" to "acting" as short as possible?

Folding in behavioral evidence

If Clarity data was processed in Step 0, integrate those findings into the relevant dimensions:

Scroll depth data → Scannability (where do visitors stop reading?), CTA hierarchy (is the primary CTA above the scroll drop-off?)
Click data → CTA hierarchy (what are visitors actually clicking?), Friction (are they clicking non-clickable elements or ignoring the primary CTA?)
Rage clicks or dead clicks → Friction (broken expectations, confusing UI)

Don't just list the behavioral data separately. Weave it into the dimensional analysis as supporting evidence.

Step 3: Assess messaging alignment

Using product-marketing-context and brand-voice-guide, check:

Positioning match — Does the page lead with the problem Tiger Data solves, not just features? Does it align with current positioning?
Terminology — Are product names, feature names, and technical terms correct per the glossary?
Voice — Does the copy sound like Tiger Data? Flag AI slop, marketing fluff, passive voice, em dashes, or generic developer-tool language.
Competitive framing — If the page references competitors, does it follow the guardrails in product-marketing-context?

Keep this section focused on issues that affect conversion, not a full brand audit. If the messaging is generally on-brand, say so and move on.

Step 4: Produce the audit report

Structure the output as follows:

Executive summary

2-3 sentences. What's the page doing well? What's the biggest conversion risk?

Top conversion blockers

The 2-3 most critical issues preventing conversions. Each should include:

What the problem is
Why it matters (impact on conversion)
Where on the page it occurs

Quick wins

Changes that are low-effort and high-confidence. These should be implementable in under an hour:

Copy tweaks (headline rewrites, CTA label changes)
Removing friction (unnecessary fields, confusing microcopy)
Adding missing trust signals in obvious spots

High-impact changes

Changes that require more effort but would meaningfully improve conversion:

Structural reorganization (section reordering, adding/removing sections)
New content blocks (case study section, comparison table, objection-handling FAQ)
Visual hierarchy fixes (CTA prominence, above-fold content)

Test ideas

A/B or multivariate test hypotheses. Consult references/experiments.md for a menu of experiments organized by page type -- pick tests that address the specific issues found in the audit, don't just list generic tests. Each test idea should include:

What to test (control vs. variant)
What you expect to happen and why
What metric to watch

Optional: Rewritten hero / CTA set

If the user asks for it, or if the hero or CTAs are the primary conversion blocker, provide:

A rewritten headline and subheadline
Rewritten primary CTA (button copy + supporting text)
Brief rationale for each change

Write these in Tiger Data's brand voice using the brand-voice-guide.

Step 5: Offer next steps

After delivering the audit, ask whether the user wants:

A deeper dive on any specific dimension
Help rewriting specific sections (hand off to brand-voice-writer)
A visual mockup of recommended changes (hand off to page-mockup-builder)
To implement changes on the live site (hand off to website-content-editor)
A re-audit after changes are made
Clarity data analyzed if they have CSVs but didn't provide them initially (hand off to clarity-analyzer)

Dependencies

Required: Tiger Den connector (for product-marketing-context and brand-voice-guide)
Optional: Clarity CSV exports (processed via clarity-analyzer skill), screenshots or page URLs for visual review

page-cro