Ava
Case Study · Anonymized
$500K Resort Brand
Full-Year 2025 Data
Case Study · A Real Store, Audited

$1M was
leaking out
the checkout.

A real audit of a $500K resort-wear brand, anonymized. Every figure is full-year 2025 store data. This is what an Ava audit surfaces and the kind of revenue most founder-led brands are quietly losing without ever seeing the number.

Ava · by AVANA
Case Study · Identity withheld
3.8
Store Health / 10
Case Study / Read This First
What You're Looking At

This is a real audit, not a sample. The brand is a $500K resort-wear label whose identity has been withheld. Every number is pulled from their live store across full-year 2025: abandonment, conversion, discount margin, data quality, retention. We show it as a case study so you can see exactly what an Ava Store Intelligence Audit surfaces, and the kind of money most brands lose quietly. Your store's version of this report is what the Done-For-You Store Fix delivers.

01 / The Number That Matters

Start here.

Before the full breakdown: the single finding that pays for fixing everything else. This is what was leaving the account every year while the store looked like it was working.

Estimated Revenue Lost · Abandoned Checkouts · 2025
~$1.05M / year

67.6% of checkout sessions were abandoned. 2,334 of 3,453 sessions that reached checkout never completed. At their 2025 average order value of ~$451, that's roughly a million dollars in revenue that reached the doorstep and walked away. A correctly sequenced recovery flow typically recaptures 5-15% of abandoned checkouts. Even a conservative recovery rate turns this into six figures recaptured annually, which is why it's the first thing Ava fixes.

02 / The Leak Ledger

Every leak, ranked.

Not all leaks are revenue. Some are margin, some are wasted spend, some are trust. Ava reads all of them and ranks by recoverable dollars. Here's the full 2025 picture, in order of what's costing the most.

01
Abandoned checkouts
67.6% abandonment. 2,334 of 3,453 checkout sessions lost. The single biggest recoverable lever in the business, and the fastest to fix with a sequenced recovery flow.
~$1.05M
Revenue / yr
02
Top-of-funnel collapse
97% of visitors never add to cart. Only 2.7% of sessions reached add-to-cart and just 0.37% converted overall, roughly 1 in 270 visitors. The biggest drop is at the very top: session to engagement.
0.37%
Conversion rate
03
Discount margin erosion
Discounts reduced gross sales by 11.1% ($63,148) across 2025. Not all bad, but a chunk is almost certainly subsidizing customers who'd have bought anyway. Worth auditing for incrementality.
$63K
Margin / yr
04
Paid traffic attribution
74 paid sessions, 0 conversions, but this is an attribution problem, not necessarily wasted spend. Paid social is likely mis-bucketed into Social (105K sessions). The real leak is not knowing what's working because UTM tagging is inconsistent.
Untracked
Attribution
05
Product returns
Only $2,954 across 11 units in 2025, genuinely minor. ANA SKIRT and NISA MAXI DRESS led by dollar value. Flagged and checked: this is clean, not a leak. We report it so you know it was looked at.
$2,954
Returns / yr
What Ava reads across the ledger
Two leaks dominate and they compound: a funnel that converts at 0.37% means most traffic never reaches checkout, and then two-thirds of the few who do, leave. Fixing checkout recovery recaptures money already at the door; fixing the funnel widens the door. The honest read: returns are fine and paid is a measurement problem. Naming what isn't broken is what makes the rest credible.
03 / Foundation

The data underneath.

The leaks above sit on top of a data foundation that decides whether any fix, or any AI tool, can actually work. Here's what was broken beneath the surface.

Product SEO & AI Visibility
Critical
Products missing both meta title & description
1,457 / 1,458
Products with descriptions under 50 words
~99%
Collections (target: ~40-50 clean, customer-facing)
121
What Ava reads here
The catalog is effectively invisible to ChatGPT, Perplexity, and Google AI Overviews. There's nothing for them to read. This is the fastest-growing discovery channel in fashion and the store has zero presence in it. It's also why the funnel leaks: products that can't be found or understood don't get added to carts.
Email & Retention
Big Upside
Best-performing email (single post-purchase touch)
72.7% open / 9.1% click
Post-purchase emails sent (of 4 standard)
1 of 4
Repeat-customer LTV vs ~$451 AOV
$1,168 · ~2.6x
Returning customer rate (room to reach 40%+)
29.6%
What Ava reads here
Their single post-purchase email is the best performer in the entire account. And they only send one. Three of four standard follow-ups don't exist. With repeat customers worth ~2.6x a single order, the retention flows are pure upside sitting untouched. This is proof, not theory.
04 / The Scorecard

Store health, by category.

Ava doesn't score one thing. It scores everything that moves revenue. Ten dimensions, each rated 1-10 against fashion-brand benchmarks. This is the same scorecard every client receives, and the baseline every fix is measured against.

2/10
Checkout & Cart Recovery
2/10
Funnel / Conversion
5/10
Discount Margin
3/10
Paid Traffic & Attribution
8/10
Returns
1/10
Product Data & SEO
2/10
AI / GEO Visibility
4/10
Email & Lifecycle
4/10
Catalog Hygiene
6/10
Customer Segmentation
Overall Store Health
Strong product and loyal repeat buyers, sitting on a foundation that's invisible to discovery and hemorrhaging at the funnel and checkout. The brand is good. The store is leaking. Every number here is a fixable lever.
3.8
05 / The Plan

Fix order, by impact.

Not a to-do list. A sequence ranked by recoverable dollars and dependency. What to fix first because it returns money fastest, then what unlocks everything downstream.

01
Immediate · Highest Dollar
Sequence checkout & cart recovery
Build a clean 3-step abandoned-checkout flow. This is the ~$1.05M leak, the highest-dollar fix and the fastest to deploy. Six figures recoverable in year one.
~$100K+/yr
02
Immediate · Diagnostic
Investigate the funnel collapse
0.37% conversion with collection/product checkout sessions down sharply suggests something broke: a theme or navigation change worth checking immediately before optimizing anything else.
Widens the door
03
This Month · Foundation
Write metadata + clean the catalog
Bulk-generate SEO metadata across 1,457 products, fix tags/collections. Unlocks AI discovery and makes the intelligence layer reliable.
Unlocks GEO
04
This Month · High Certainty
Build the post-purchase sequence
Add cross-sell, review, care, replenishment flows. Already proven at 72.7% open. Highest-certainty recurring revenue, repeat LTV is 2.6x.
2.6x LTV
05
Next Quarter · Margin & Spend
Fix attribution & audit discounts
Standardize UTM tagging so paid is measurable, then audit the $63K in discounts for incrementality. Stop subsidizing buyers who'd convert anyway.
Protects margin
What Happens Next

This audit found the leaks.
Ava fixes them, then watches.

The Done-For-You Store Fix cleans the foundation and fixes the highest-dollar leaks, the ones you just saw ranked. After that, Ava stays on: watching the store, preparing the next move each week, waiting for one tap to execute. The audit you're holding is what she sees on day one.

$1,500
Done-For-You Store Fix · we run the audit & fix the leaks · from $1,500