Pawllo

Pawllo's growth problems didn't need experimentation.

A 5-stage funnel diagnosis of pawllo.com, a premium D2C pet brand. The audit returned 14 findings; the prioritisation returned a roadmap where most of the work is fixing, not testing.

Product Teardown
Role
Product & Growth Consultant
Timeline
2 weeks
Method
UX audit, funnel diagnosis, hypothesis prioritisation
Stage
Pre-engagement
Live walkthrough: category browsing, PDP, cart and checkout flow

Acquisition is expensive. Leaks are fatal.

Pawllo is a premium D2C pet brand in India. Small catalogue, smaller ad budget, competing against Amazon, Supertails, HUFT, and Drools. Every visitor is paid for, and most could buy somewhere else.

Pet food is a replenishment category. The unit economics live in the fifth purchase, not the first. A leak in the funnel doesn't cost this transaction. It costs the next ten.

The starting question

The first question wasn't "what should we test?" It was "what's actually broken?" Until you know what's broken, every test is a guess.

The funnel leaks at every stage.

Five stages, mapped from a first-person walkthrough on desktop and mobile, scored against Nielsen's heuristics, Baymard's e-commerce research, and a 10-competitor benchmark.

Stage Estimated leak Top friction
Landing → PLP 60-75% Six folds of brand copy, broken promo CTA, slow first load
PLP → PDP 50-65% No search, no filters, packaging-only imagery
PDP → ATC 75-85% Zero reviews, scroll desync hides gallery, inverted info hierarchy
Cart → Order 65-75% ATC redirect, hidden payment methods, no trust signals
Repeat Structural No subscribe-and-save, no Buy Again, no WhatsApp reorder
Benchmark

On a 27-point UX audit against 10 competitors, Pawllo scored 2.8 out of 10. The competitor average was 7.0.

The leaks weren't symmetrical. Most traced back to features the site never built.

Three tiers. One plan.

Each finding got two inputs: an ICE score for impact, confidence, and effort, and a certainty tag for fix, hypothesis, or experiment.

8 fixes. Bugs and missing table stakes. Known answers; the work was execution.

6 hypotheses. Direction known from research, magnitude unknown. Build with measurement.

5 experiments. Outcomes that could go either way. Run them properly.

How the order fell out

ICE ranked within each tier. The tiers did the sequencing. Fixes first.

19 actions, three tiers.

The full plan, then one example per tier.

Tier 1: Fix · 8
  • Promo CTA wired to wrong page
  • ATC redirect
  • Mislabelled "Place Order" CTA
  • Search on PLP
  • Filters on PLP
  • Promo code error state
  • COD fee transparency
  • Shop Now CTA on homepage
Tier 2: Hypothesis · 6
  • PDP scroll desync
  • Lifestyle imagery
  • Reviews above the fold on PDPs
  • PDP info hierarchy
  • Payment method visibility
  • Trust signals in cart and checkout
Tier 3: Experiment · 5
  • Per-unit pricing
  • Subscribe & Save
  • WhatsApp vs email reorder reminders
  • Referral program
  • Returning customer shortcut

Tier 1: Fix Add to Cart redirect

Clicking Add to Cart routes users to the cart page instead of confirming on the PDP. Multi-product purchasing breaks. AOV drops. ICE: high impact, high confidence, low effort. Confirm on-page, update the cart counter, keep the user shopping.

Tier 2: Hypothesis Reviews above the fold on PDPs

Pawllo has zero reviews. PowerReviews puts the lift from 0 to 1 review at 52%. Direction is clear. Magnitude on a 38-product premium catalogue isn't. Build the review system, instrument it, watch the lift curve as volume grows.

Tier 3: Experiment WhatsApp vs email for reorder reminders

WhatsApp open rates dwarf email in India (~98% vs ~20%). But brand-driven WhatsApp can feel intrusive, and a premium brand has tone risk. Random assignment, 60-day window, compare repeat purchase rates.

Different work. Different sequencing. Different success criteria.

Redesigned Homepage
Homepage
Redesigned Shop
Shop
Redesigned Product Detail Page
Product Detail
Redesigned Cart
Cart
Redesigned screens: Homepage, Shop, PDP, Cart

Built for first purchase. Sells a daily product.

Pets eat every day. The bag empties on a predictable cycle. The customer needs to reorder. Pawllo's site has no Subscribe & Save. No Buy Again. No WhatsApp reorder. No loyalty program.

A returning customer takes the same five-step journey as a first-timer: homepage, PLP, PDP, ATC redirect, checkout. The site treats them as cold traffic.

Industry data on D2C consumables: 22-44% repeat purchase rate. Subscription customers generate 2.7x more lifetime value than one-time buyers (Relo, 2022). Pawllo isn't built for it.

Where the leak lives

The funnel was 14 findings. The biggest leak was past it.

The funnel decides if they buy. The reorder system decides if they come back.

What I'd do again. What's next.

Quick wins compound.

8 small fixes. ATC redirect. Broken promo CTA. Missing search. Compound impact beats any single Tier 2 bet.

Sort before you score.

ICE ranks. Tags sort. Without the tag, a high-impact bet outranks a known fix. With it, the order writes itself.

Run the full audit.

The systematic walk caught what shortcuts miss. Scroll desync. Hidden payment methods. The broken activation CTA. The audit goes in the arsenal.

What's next.

Founder pitch and engagement scoping. First 30 days: ship Tier 1, set up analytics, baseline the funnel. Tier 2 follows.

Funnel Diagnosis UX Audit Hypothesis Generation Prioritisation
End of work

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