L'ange · CRO — Frizz Quiz Landing Page Test Plan
L'ange — Conversion Design

Frizz Quiz: 4 landing pages to beat the bounce.

We're driving paid traffic to the frizz quiz and seeing the high bounce we expected — which is exactly the opportunity. Below are four landing-page concepts, each built around a single CRO thesis, plus the reasoning for why each can win. All four share the same 90-second quiz engine, so we can A/B the entry experience cleanly.

Each version is a live, clickable simulator · built as standalone HTML · mobile-first (where the ad traffic lands).

Why the current page bounces

  • No hero imagery — nothing pays off the ad's promise
  • Legal disclaimer sits right above the CTA (anxiety at the decision)
  • Full site nav + search + cart + footer = ~8 ways to leave
  • No expectation-setting, preview, or momentum into the quiz
  • Thin trust ("2M+/4.5★", no faces, no results) & vague "Get My Routine" CTA

What all four versions fix

  • Image-led hero that pays off the ad
  • Action CTA + reassurance; legalese demoted to fine print
  • Minimal nav (logo only) — keep paid traffic in the funnel
  • Expectation-setting, social proof, before/after, trust badges
  • Quiz runs inline — no jarring hand-off to a separate app

The test concepts

They differ in the above-the-fold strategy — the highest-leverage lever for bounce. vAB1 (top) merges the two strongest anti-bounce ideas and is the recommended challenger; A–D are the focused single-thesis tests.

vAB1 — merged proof + quiz-first variant
vAB1★ New · merges A + BBounce-first

A×B — Proof + Quiz-first

The two strongest anti-bounce levers in one hero: a before/after + rating that pays off the ad (B), and the first quiz question embedded so visitors start with one tap (A).

Why it targets bounce
  • Instant message match — before/after + 4.5★ confirm "right place" in under a second
  • First action lives in the hero — tapping a hair-type card turns a passive view into an engaged session (the opposite of a bounce)
  • Static hero image = fast LCP & no layout shift; logo-only nav = no easy exits
Why it works: bounce happens when a visitor can't instantly confirm relevance and has no low-effort next step. vAB1 answers both at once — proof for the skeptic, a one-tap start for the ready — so more paid clicks convert into quiz-starts. Recommended primary challenger vs the improved control.
Open vAB1 →
Quiz-first variant
AFriction reduction

Quiz-first

The first question is the hero. No "start" gate — tap your hair type and you're already in.

Best practices
  • Remove the activation gate (one less decision)
  • Foot-in-the-door micro-commitment
  • Interactive above the fold = instant engagement signal
Why it works: every wasted click already happened in the ad. The moment a visitor taps a hair-type card they've started — and commitment & consistency pulls them through the remaining questions. Lowest-effort path from ad to quiz-start, which is the metric most correlated with completion.
Open version A →
Proof-led variant
BSocial proof & empathy

Proof-led

Lead with the transformation — before/after, rating, and a real review — then invite the quiz.

Best practices
  • Visual proof of outcome above the fold
  • Empathy headline matched to a problem-aware audience
  • Specific, named review beats generic stats
Why it works: cold and mid-funnel ad traffic is skeptical. Seeing a believable result (and a person like them) before being asked to invest 90 seconds lowers perceived risk and earns the click. Strongest for broad/cold audiences.
Open version B →
Offer-led variant
CIncentive & reciprocity

Offer-led

A concrete value exchange: finish the quiz, unlock 15% off + a free Top Coat.

Best practices
  • Clear reward offsets the 90-second effort cost
  • Reciprocity + a free gift raise perceived value
  • Light urgency ("ends soon") prompts action now
Why it works: discount-driven and promo-sourced audiences need a reason to act today. Tying the incentive to quiz completion turns the quiz from a chore into the unlock — and pre-frames the purchase at the end. Watch AOV/margin, not just completion.
Open version C →
Outcome-led variant
DCuriosity & aspiration

Outcome-led

Show the end state first — a sample matched routine — then "personalize it to your hair."

Best practices
  • Preview the deliverable to set expectations
  • Curiosity gap: "what would mine look like?"
  • Aspirational framing of the finished routine
Why it works: people commit when they can see the payoff. Previewing a concrete routine makes the reward tangible and the quiz feel like personalization rather than lead-gen — pulling curiosity-driven visitors in to make it theirs.
Open version D →

How to read / test these

Each card opens the same simulator with a different above-the-fold treatment (URL param ?v=). The quiz, results, pricing, and guarantee are identical across versions so the test isolates the entry experience. Every version opens as a mobile preview (a phone frame on desktop) — that's where the paid traffic lands — with a prominent CTA that follows the user as they scroll.

Suggested sequence: ship the improved control vs vAB1 as the first A/B — it combines the two highest-leverage anti-bounce ideas (proof + one-tap start) and has the largest expected lift on quiz-start rate. Use the focused single-thesis versions (A–D) as follow-ups to learn which lever drove the win, or to tune by audience temperature (B for cold, C for promo-sourced).