Conversion & Lead Capture
Traffic arrives and few of it buys. This finds exactly where they leave.
For ecommerce and product-led businesses, including med-spa retail, home-services booking, and dental or legal intake flows, that have real traffic arriving and watch most of it leave without buying or booking.
Every engagement is directed by a technical specialist and reviewed before delivery.
What this is
The Ecommerce Conversion Diagnostic finds the exact points where your store loses buyers, from the product page through the cart to the final checkout step. The shortage is rarely visitors; it is visitors who finish. We walk your real purchase path the way a customer does, on mobile and desktop, and measure where people drop and why: a product page that never answers the buying question, a cart that hides shipping until the last screen, a checkout that forces an account, a form that fights the shopper, a payment step that stalls. The result is a ranked map of every leak, ordered by how much revenue it costs against how hard it is to fix, with the reasoning behind each call. A specialist reads and writes it, dates it, and stamps it with the devices, browsers and pages it was run against. If the diagnostic surfaces no actionable finding, you owe nothing.
The problem
Why this matters now
Your traffic arrives. The sessions are real, your ad spend or your search work is doing its job, people are landing on your product pages. And then the number that matters barely moves. A few buy. Most look, drift, and leave, with no clear read on which screen lost them or why. Your store can feel like a bucket with a hole in it nobody can see.
The usual response is guessing. A button color changes, a headline gets rewritten, a badge is added, the price drops, and nothing shifts in a way you can trust, because you never located the symptom being treated. A store loses buyers at specific, findable points, and until you know those points, every change is a coin flip.
The leaks are rarely where you assume. The Baymard Institute, from ten years of large-scale checkout testing, puts the average cart abandonment rate at 70.22 percent in 2026, and finds that the typical large ecommerce site can gain a 35.26 percent lift in conversion from better checkout design alone. Much of that loss is mechanical: surprise shipping costs revealed too late, a forced account before a first purchase, a checkout that is longer and more hostile on the phone where most traffic actually is.
So the real question is not what to change. It is: on your store, on the devices your buyers actually use, where exactly are people leaving, how much is each leak costing, and which one is worth fixing first.
How it works
The mechanism, made checkable
- 01
We map your real funnel before judging anything
We lay out your actual purchase path step by step, from landing and product page to cart, checkout, and confirmation, and pull the drop-off between each step from your own analytics where the tracking supports it. The point is to locate the loss with evidence, not to react to the first thing that looks wrong. A leak we have not found is a leak we cannot fix.
- 02
We walk the path as a buyer, phone first
A specialist completes real purchase attempts on your store across mobile and desktop, the top browsers, and slower connections, because most stores are engineered for the desktop the owner uses and bleed the mobile traffic that is now the majority. We record, screen by screen, exactly where the path stalls, confuses, or forces a needless step, exactly as a customer meets it.
- 03
We diagnose the product page as a decision, not a layout
We check each product page against the questions that decide a purchase: what it is, whether it fits the buyer's need, what it costs all-in, when it arrives, and what happens if it is wrong. Missing sizing, unclear returns, absent shipping cost, thin or absent reviews, and slow-loading images are conversion leaks, and we name each one against how buyers actually read a page.
- 04
We pull the cart and checkout apart against known failure points
We test your cart and checkout against the highest-cost failures documented across large-scale checkout research: surprise costs revealed late, a forced account before a first order, an over-long or repetitive form, too few payment or wallet options, unclear delivery and return terms, and error handling that punishes a small mistake. We tie each finding to the step it happens on and the buyers it is likely costing.
- 05
We rank every leak by revenue at risk, not by how it looks
We triage every finding by how much of the lost conversion it plausibly explains against how hard it is to fix, producing an ordered register, most valuable first, rather than a flat list of everything imperfect. Where your analytics allow it, we attach a drop-off figure to the step; where they do not, we say so and mark the finding as directional.
- 06
A specialist writes and reviews it, then it is dated and shipped
A specialist reads the raw session evidence and the funnel data, writes the diagnosis in plain English, and reviews the whole document before delivery. We date the delivered report and stamp it with the devices, browsers, and pages it was run against, so it is a true baseline to measure the next reading against after the fixes land. We deliver nothing a specialist has not read end to end.
What is included
What is delivered
- A full funnel map of your purchase path, from product page through cart and checkout to confirmation, with step-to-step drop-off pulled from your own analytics where the tracking supports it.
- Real purchase-attempt walkthroughs completed across mobile and desktop, the top browsers, and a slower-connection pass, recorded screen by screen.
- A product-page diagnosis against the questions that decide a purchase: clarity, all-in cost, shipping and delivery, returns, reviews, and load speed on the images that matter.
- A cart and checkout teardown against the documented high-cost failure points, including surprise costs, forced-account requirements, form friction, payment options, and error handling.
- A mobile-versus-desktop comparison that isolates where your phone experience loses buyers your desktop one keeps.
- A ranked findings register, most valuable correction first, scored by revenue at risk against effort to fix, with directional findings clearly marked where the data cannot fully support a number.
- A specialist-written diagnosis in plain English, dated and stamped with the devices, browsers and pages it was run against, reviewed before delivery, not a raw tool export.
- A short list of the quickest wins, ready to hand to a developer today, separated from the deeper structural fixes.
The outcome
What it moves
- A step-by-step map of your real purchase path with the drop-off between each stage, surfacing the leaks instead of leaving them to guesswork.
- A ranked findings register, most costly leak first, with the reasoning and the revenue-at-risk logic behind each priority, so the first fix is the one that pays.
- A clear read of where your mobile buyers are lost differently from your desktop buyers, because the phone is where most traffic and most abandonment now live.
- A product-page diagnosis showing which buying questions your pages fail to answer, page type by page type.
- A checkout teardown against the documented, high-cost failure points, tied to the exact step each one happens on.
- A dated baseline you own, so the work that follows, whether Raveneye Global's or your own in-house team's, can be measured as real movement against a real starting number.
What you get
What you get, and how it is priced
The diagnostic runs at scope levels set by how much of the purchase path needs reading, from a focused checkout teardown to a full funnel diagnosis across every step and device, with quantified drop-off where your analytics can support it. Every level returns a ranked findings register with the revenue-at-risk reasoning behind each priority, written and reviewed by a specialist. Below is how we produce the diagnosis and what each level covers. We confirm the exact figure in writing after a short scoping query.
| Checkout Teardown. A focused diagnosis of the cart and checkout, the steps where a shopper who already wants to buy is lost. Real purchase attempts across mobile and desktop, a teardown against the documented high-cost failure points, and a ranked fix list for the final stretch of the funnel. Best when you are confident the front of the store is working and the money is leaking at the end. Scoped in writing. | Quoted |
| Full Funnel Diagnostic. The whole purchase path read end to end: product pages, cart, checkout, and the mobile-versus-desktop gap, with step-to-step drop-off from your analytics where it supports it, and a full ranked findings register scored by revenue at risk. The right place to start when you know buyers leave but not where. Scoped in writing. | Quoted |
| Diagnostic Plus Priorities. The full funnel diagnosis with a deeper, hand-off-ready remediation plan: each finding turned into a specified fix, sequenced from first to last, with the reasoning for every priority, so any competent developer, including your own, could execute it without us. Built for owners who intend to act on the findings immediately. Scoped in writing. | Quoted |
You see the full deliverables and cadence first, then a price built for your business, confirmed in writing.
Straight answers
Questions about Ecommerce Conversion Diagnostic
My traffic is fine and my store looks good. Why am I still not converting?
A store can look clean and still lose buyers at specific, findable points: shipping revealed too late, a forced account, a form that is fine on desktop and punishing on a phone, a product page that never answers the one question a buyer needed answered. Looking good and converting are different outcomes. This diagnostic exists to locate the exact steps where people leave, so your effort shifts away from changing things that merely look wrong and toward fixing what is actually costing you sales.
How is this different from a full conversion program?
This is the diagnosis, not the treatment. It finds and ranks exactly where your store loses buyers and what each leak is likely costing. A conversion program is the separate, ongoing work of fixing and testing those points. We keep the two apart on purpose, because paying to fix a leak nobody has located is how most conversion budgets get wasted. Many owners take the diagnostic, hand the ranked list to their own developer, and never need the program at all.
Is any of this report just something a tool spat out?
No. A specialist completes real purchase attempts on your store, reads the session evidence and the funnel data, writes the diagnosis, and reviews the whole document before delivery. Technology speeds up how fast and precisely we read your store, but the judgement, the ranking, and the reasoning are a specialist's. Every deliverable is directed by a specialist and reviewed before delivery. The proof is in the deliverable: the recorded walkthroughs, the step-tied findings, and the reasoning behind each priority are things a bare export never contains.
Will you guarantee a higher conversion rate?
No system can promise a specific conversion number, because conversion depends on your prices, product, audience, and dozens of factors no outside firm controls. We commit to finding where your store loses buyers, ranking the leaks by what they plausibly cost, and reporting plainly, including where a finding is directional rather than certain. The work diagnoses and prioritizes.
Do you need access to my store and my analytics?
For the fullest read, yes, view access to your analytics lets us attach real drop-off figures to each step of the funnel, which sharpens the ranking considerably. Where that access is not available, we still diagnose the path through real purchase walkthroughs, and mark the affected findings as directional rather than quantified. The report is explicit about which findings are backed by data and which are expert judgement, so the strength of each one is always clear.
You are based overseas. Can you diagnose a US store?
Yes. We do the work on your live store and its analytics, from the buyer's actual purchase path, which is the same wherever the specialist sits. Raveneye Global is operated by RavenGroup Global Tech Private Limited and bills in USD. We complete real purchase attempts at your business's US locale, on the devices and browsers your buyers use, and stamp the report with exactly what it was run against, so you see the conditions for yourself.
How do you decide which leak to fix first?
We score each finding by how much of the lost conversion it plausibly explains against how hard it is to fix, then order it most valuable first. Where your analytics support a real drop-off figure for a step, that figure drives the ranking; where they do not, we mark the finding directional and rank it on documented impact from large-scale checkout research and on expert reading. The result is an ordered register, not a flat list, so the first fix is the one most likely to pay.
How big is the opportunity, realistically?
It varies by store. As a sense of scale, the Baymard Institute, from ten years of large-scale checkout testing, reports that the average large ecommerce site can gain a 35.26 percent lift in conversion from better checkout design, against a 2026 average cart abandonment rate of 70.22 percent. That is an industry figure, not a promise about your specific store. The real number depends on where your specific leaks are, which is exactly what the diagnostic measures before any change is proposed.
Related
Where this connects
Conversion Optimization
When the diagnostic has found the leaks, this is the ongoing work that fixes and tests them: the treatment that follows the diagnosis, run against measured drop-off rather than guesswork.
ExploreSurface Intelligence Audit
If the problem might be upstream, whether buyers can even find you across classic search and AI answers, this scored read tells you if the gap is visibility rather than conversion.
ExploreThe Machine-Readiness Score
The 0 to 100 metric your visibility and reputation are measured against, so a conversion fix and a visibility fix can be tracked as movement on one measured number.
ExploreProvenance
Sources
- Baymard Institute, Cart & Checkout research, 2026: average documented cart abandonment rate of 70.22 percent, and an average 35.26 percent conversion-rate uplift available to large ecommerce sites from better checkout design over ten years of large-scale testing, https://baymard.com/lists/cart-abandonment-rate
- Baymard Institute, Checkout Usability and Cart Abandonment Reasons (documented high-cost checkout failure points: surprise costs, forced account creation, long or complex checkout forms), accessed July 2026, https://baymard.com/lists/cart-abandonment-rate
Begin with where the business stands.
No obligation. The deliverable is a measured starting position and the corrections that move it most.