★★★★★
The automation was set up in a clean and practical way by the Checkout Loom team. It saved me a lot of manual work and made the whole process much easier.
JanoUnited Kingdom
Verified
AI listing optimization
AI listing optimization for online stores that rebuilds marketplace listings around the searches shoppers actually make
AI listing optimization for online stores works when it starts from real shopper search data and ends with a controlled test, because a marketplace listing is judged by whether the right shoppers see it and click it, and a clever rewrite that nobody searches for changes nothing. We research the terms that convert on Amazon, Etsy, eBay or Walmart, rewrite titles, bullets and hidden search terms inside each channel’s rules, publish in small batches and record what each change did to impressions, clicks and orders.
- Fixed price from $1,390, paid once
- Built from real search data, not guesses
- Each change tested and recorded
- Channels supportedAmazon, Etsy, eBay and Walmart Marketplace, with Shopify and Google Shopping feeds as optional extras.
- Typical sellerSellers with fifty to several thousand listings, flat or falling impressions and titles written once at launch.
- Search dataMarketplace search reports where available, keyword research tools, competitor listings and your own order history.
- Accounts coveredOne seller account per plan, with extra accounts, regions and languages available as priced options.
- OutputsTitles, bullets, descriptions, hidden search terms, attributes and image text briefs.
- Live inTwo to three weeks for a first test batch and up to eight weeks for a full catalogue with measured results.
The costly disconnect
Why marketplace listings stay buried even when the product is good
Marketplace search is a ranking contest decided by relevance and sales history, and most listings are written once from the seller’s own vocabulary, so the product is perfect and nobody typing the words shoppers use ever sees it.
Your words, not theirs
Sellers describe a product in the terms they use internally, while shoppers search with different words, and a listing that lacks those words is invisible to them. The fix is not more effort but a better rule, and that is exactly what the listing optimization build for online stores puts in place.
Rules that change under you
Marketplaces rewrite their style rules often, and Amazon has been reported to be cutting its title limit sharply during 2026, so a title that was fine last year can now be suppressed. Many owners only notice this problem when a customer complains, so catching it earlier is one of the quiet benefits of listing optimization for online stores.
Hidden fields left empty
Backend search terms on Amazon, tags on Etsy and item specifics on eBay carry real ranking weight and are often left blank or stuffed with repeats. Left alone, this problem repeats with every order, which is why listing optimization for online stores is built to handle it by rule and not by memory.
Changes made without measurement
Editing a title and hoping is not optimisation, because without a before and after on impressions and clicks nobody knows whether the change helped. It is easy to overlook until a busy week exposes it, and by then the cost to online stores is already counted in refunds, hours or lost sales in the listing optimization work.
Tools that suggest but do not do
Keyword tools list terms and leave the rewriting, the rule checking and the publishing to a person, which is where the time goes. The fix is not more effort but a better rule, and that is exactly what the listing optimization build for online stores puts in place.
One listing for every channel
A title copied from Amazon to Etsy or eBay breaks the limits and the search habits of each, so the same product ranks nowhere. Many owners only notice this problem when a customer complains, so catching it earlier is one of the quiet benefits of listing optimization for online stores.
- 140characters is the title limit commonly reported for Etsy, while eBay allows about 80, so one title cannot serve both.
- 75characters is the Amazon title length reported for 2026 after a cut from 200 in most categories, which we verify in Seller Central at build time.
- 1change at a time is how we test a batch, so a result can be traced to its cause.
Sources: marketplace seller documentation and trade reporting on Amazon’s 2026 title change, which we confirm in Seller Central before we write any title.
What changes in your marketplace listings once they are built from search data and tested
Each listing uses the words shoppers type, obeys the channel’s rules and has a measured before and after.
Your listings today
- Titles were written once from the seller’s own words.
- Hidden search fields are empty or repeated.
- Rule changes surface as suppressed listings.
- Edits are made without a before and after.
- The same text is pasted on every channel.
Your listings after the build
- Titles and bullets use researched terms ranked by relevance and volume.
- Hidden fields hold distinct, relevant terms within each channel’s limits.
- Every listing is checked against current channel rules before publishing.
- Batches are tested and results are logged against impressions, clicks and orders.
- Each channel receives text written for its own search behaviour.
What your seller reports show
- More impressions from relevant searches.
- Fewer suppressed listings.
- Evidence for what works.
- Less time in seller dashboards.
- Listings ready for each channel.
What the system rebuilds
- Researching and ranking the search terms for each product.
- Rewriting titles, bullets, descriptions and hidden search terms.
- Checking length, banned words and required fields per channel.
- Publishing in batches and recording the before and after.
- Flagging listings whose results fall or whose rules change.
What you decide
- Approving each batch before it is published.
- Any claim in a title that needs technical or legal sign-off.
- Brand words and flagship wording.
- Which channels and products come next.
- Pricing, advertising and inventory decisions.
Which marketplace sellers gain most from AI listing optimization
If your listings have not been touched since launch, or you sell on more than one marketplace, search-led rewriting is usually the cheapest growth available.
Sellers with large catalogues
Hundreds of listings are impossible to research by hand and ideal for a repeatable pipeline. This is the kind of situation where a fixed-price build is easier to justify than a monthly subscription for listing optimization for online stores.
Sellers with flat impressions
A stalled impression count usually points to relevance, which rewriting addresses directly. We look at this situation in the audit and give online stores an honest view of whether the build is worth doing now or later in the listing optimization work.
Sellers on several marketplaces
Each channel gets text suited to its own limits and search habits. If this describes your business, the listing optimization work for online stores is likely to pay back quickly, and we will tell you plainly if it will not.
Sellers hit by rule changes
Listings suppressed after a policy change can be rebuilt inside the new limits quickly. Owners in this position often say the biggest change is the time returned each week, and listing optimization is built to deliver that first for online stores.
Brands and agencies
A documented method with tests gives clients evidence instead of opinions. This is the kind of situation where a fixed-price build is easier to justify than a monthly subscription for listing optimization for online stores.
New product launches
A launch listing built from search data starts with relevance that took competitors months to earn. We look at this situation in the audit and give online stores an honest view of whether the build is worth doing now or later in the listing optimization work.
The events that start and finish each listing change
A listing change begins with data, passes through rule checks and ends with a measurement.
search_data_updatedSearch data refreshes
New search reports and keyword data update the ranked term list for each product. The event is logged with the rule that handled it, which lets you check later exactly what listing optimization did for online stores and why it did it.
draft_readyA rewrite is drafted
The title, bullets and hidden terms are drafted from the ranked terms and the product record. Because this trigger is handled separately from the others, a problem with it never delays the rest of the listing optimization work for online stores.
rule_checkChannel rules are checked
Length, banned words, required fields and image rules are tested against the current channel rules. You decide how much of this runs without approval, and for online stores we usually begin with a review step until the first results look right in the listing optimization work.
batch_publishedA test batch is published
A small group of listings changes, and a matched group is left unchanged for comparison. Anything this trigger cannot decide safely is passed to you with the record attached, so listing optimization for online stores never acts on a doubtful reading.
results_collectedResults are collected
Impressions, clicks, conversion and orders are compared after a set period. We test this moment on your own records before launch, so the listing optimization build for online stores has met it before it meets a real customer.
rule_changedThe channel changes its rules
A change in limits or policy triggers a scan of affected listings and a list of fixes. The timing of this step is written down in the rule table, which means you can change when it happens without asking us to rebuild anything in the listing optimization build for online stores.
One listing followed from keyword research to a measured result
This shows how a single marketplace listing is rebuilt and tested rather than just edited.
- 01
Search terms are researched
For a 20 litre trail pack the research finds that shoppers search for hiking daypack and waterproof rucksack far more than the word the seller used. Every step like this is recorded, so the listing optimization work for online stores can be traced from the first input to the final result without any gaps.
- 02
The title is rebuilt
The title puts the strongest term first, adds the volume and the key material in plain words and stays inside the channel’s length limit. If the step cannot finish, the record says why and waits for you, so listing optimization for online stores never moves on with a half-completed task.
- 03
Bullets and hidden terms are written
Five bullets answer the buyer’s main questions, and the hidden fields carry related terms that are not already in the title. You can see the outcome of this step before the next one starts, which keeps the listing optimization build for online stores under your control throughout.
- 04
Rules are checked
The listing is checked for banned promotional words, length, required attributes and image requirements before anything is saved. The step uses only the facts you supplied, so nothing in the listing optimization result for online stores depends on guesses or on outside sources you did not approve.
- 05
A test batch goes live
The rewritten listing is published with a group of similar ones, while a matched group stays unchanged as the comparison. Timing for this step is paced to the limits of your tools, so listing optimization for online stores keeps running calmly even when volume is high.
- 06
The result is recorded
After the test period, impressions, clicks and orders are compared, and the winning pattern is applied to the rest of the catalogue. A check at the end of the step compares the result with the input, which catches the small mistakes that otherwise surface days later in the listing optimization build for online stores.
Pricing
Price your AI listing optimization
Choose a plan, tell us your channels and how many listings you have, and add any extras, and the total and live date update as you go.
What AI listing optimization costs and what raises the price
Our fee is fixed and paid once, while keyword tools, model usage and any marketplace programme fees are billed by their own providers.
Number of listings
More listings mean more research, drafting and measurement. Changes to this factor after the quote are handled as a written change, with its own price, and never as a hidden charge on listing optimization for online stores.
Channels and regions
Each marketplace and region adds rules, terms and tests. A smaller first build can leave this factor for later, and online stores can add it at a priced step once the first results are in in the listing optimization work.
Listing complexity
Variation families, bundles and heavy attributes take longer to rebuild. The tools around listing optimization bill separately, and we estimate their monthly cost for this factor so your running cost is known as well as the build for online stores.
Measurement period
Longer test periods and larger comparison groups add reporting work. Owners who run listing optimization for online stores often find this factor is the one that most changes the quote, which is why we ask about it first.
Restricted categories
Supplements, cosmetics and electronics add claim review. We check this factor against your real records during the audit, so the number in the quote comes from your data and not from a guess in the listing optimization build for online stores.
Brand registry and content
Enhanced content and image briefs add writing and review. This is one of the factors we price in writing before work starts, so the listing optimization quote for online stores reflects your real situation and not an average.
Keyword tools, model usage and marketplace fees are billed by those providers.
Next step
Ready to price AI Listing Optimization for Online Stores?
AI listing optimization for online stores rewrites marketplace titles, bullets, descriptions and hidden search terms from the shopper searches that actually convert, keeps each listing inside the rules of Amazon, Etsy, eBay or Walmart, and tests changes in controlled batches so you can see what moved sales.
- One fixed price from $1,390, paid once
- Every change tested against a comparison group
- Thirty days of corrections once the first batch is measured
Three more listing jobs the same pipeline can do
The same search data and rule checks serve other work across your channels.
Cross-channel versions
Amazon, Etsy, eBay and Walmart versions are produced from one record and tested separately. We include this idea because owners who run listing optimization for online stores often ask for it within a few months, and it is cheaper to plan for it early.
Image and A+ content briefs
Briefs for images and enhanced content are written from the same researched terms and buyer questions. The job follows the same approval rules as everything else, so nothing reaches a customer of online stores without passing the checks you already trust in the listing optimization work.
Listing health monitoring
A weekly scan flags suppressed, out-of-rule and declining listings for fixes. If the job does not pay back, it can be switched off without affecting the rest of the listing optimization build, and nothing needs to be unpicked for online stores.
Which data the listing optimizer reads and where each fact is the source of truth
A rewrite is only worth publishing if the data behind it is sound, so each input has a source and a refresh rule.
| Store object | Fields we use | Direction | Source of truth |
|---|---|---|---|
| Search terms | Terms, volume, relevance, competition | Read and ranked | Marketplace reports and research tools |
| Product record | Attributes, materials, dimensions, claims | Read only | Catalogue record |
| Current listings | Title, bullets, terms, images, status | Read before every change | Marketplace accounts |
| Channel rules | Limits, banned words, required fields | Read before publishing | Rule sheet from channel documentation |
| Performance | Impressions, clicks, orders, returns | Read after the test period | Seller reports |
| Change log | Field, old value, new value, result | Written on every publish | Audit log |
Search reports available to you depend on your account, for example Amazon’s brand-level reports for brand-registered sellers, and we use whatever your account provides.
Edge cases in listing optimization that we test before launch
Marketplaces punish mistakes quickly, so we test the edge cases before any listing is changed.
Banned or restricted claims
Promotional phrases, medical claims and competitor names are blocked in titles and bullets according to each channel’s policy. Your answer to this case is added to the rule table, so the same situation is handled automatically the next time it appears for online stores in the listing optimization work.
Listings with strong sales history
High-performing listings are changed last and carefully, because ranking history is valuable and easy to damage. The weekly report counts how often this case occurs, which tells online stores whether it deserves a better rule or is simply rare in the listing optimization work.
Variation families
Variation parents and children keep consistent titles and attributes so the family is not broken. Nothing about this case is hidden from you: it appears in the log with the date, the record and the rule that dealt with it in the listing optimization build for online stores.
Regional marketplaces
Each region receives terms and units suited to its language and shoppers. We list the cases that matter most for listing optimization in your handover guide, so anyone on your team can understand how online stores deals with them.
Keyword repetition
Terms are not repeated across title and hidden fields, so each field adds new relevance. A rule for this case can be tightened or relaxed in minutes in the rule table, without waiting for a rebuild or a new quote in the listing optimization build for online stores.
Out-of-stock and suppressed listings
These are fixed or paused first, so a rewrite does not publish on a listing that cannot sell. Handling the case early protects the margin and the reputation of online stores, which is worth more than the hours it takes to write the rule in the listing optimization work.
A keyword tool, a free AI writer and a built listing optimizer compared
A listing optimization AI tool or a free one is a fine place to start, reviews of such tools often praise the keyword lists, and a built optimizer adds the rule checks, the publishing and the measured tests that decide whether anything improved.
| Keyword tool | Free AI writer | Checkout Loom build | |
|---|---|---|---|
| Researches real search terms | ✓ | – | ✓ |
| Rewrites titles and bullets | Partly | ✓ | ✓ |
| Checks current channel rules | Partly | – | ✓ |
| Publishes in tested batches | – | – | ✓ |
| Records before and after results | Partly | – | ✓ |
| Cost pattern | Monthly subscription | Free with limits | Our build fee plus tool fees |
We use the keyword tools you already pay for where they do the job, and we add the rewriting, rule checks and testing that they leave to you.
How the listing optimizer is built and what each part costs
We use your existing marketplace and research tools where they fit and show the monthly cost of anything extra beside our fixed fee.
Marketplace seller APIs and reports
Amazon Selling Partner API reports and listings feeds, Etsy and eBay APIs and Walmart’s item feeds, used within each channel’s terms. Its limits and prices are checked again at the start of each project, because tools change their plans, and online stores should not pay for last year’s terms in the listing optimization work.
Keyword research tools
Helium 10, Jungle Scout, Marmalead, eRank or similar tools you already use, plus marketplace search reports where your account has them. Everything this layer does for listing optimization is logged, so you can see what ran, when it ran and what it cost on any given week for online stores.
A language model with rule checks
A current model drafts titles and bullets, and code checks length, banned words and required fields afterwards. We test the layer on your own data before launch, so listing optimization for online stores is proven on real records and not on tidy examples.
A test design
A matched group of unchanged listings is kept for comparison, so results are measured against something real. If the layer fails or changes its terms, the handover guide explains how to swap it, so online stores is never stranded by one supplier in the listing optimization work.
A review and publishing screen
A batch view with the old and new text side by side and a one-click publish and rollback. Its role is written in plain language in the handover guide, which means a new team member at online stores can understand it in a few minutes in the listing optimization work.
Make, Zapier or n8n
The workflow layer that collects reports, runs the pipeline and writes the log. The monthly price of this layer is written next to our fixed fee before you commit, so the true cost of running listing optimization for online stores is clear from day one.
How we keep listing changes safe on live marketplaces
A bad edit can cost ranking, so changes are small, checked and reversible.
Rules checked at publish time
Each listing is checked against the current rule sheet immediately before it is saved. Because this protection is written as a rule and not as a habit, it keeps working when staff change or the business gets busier in the listing optimization build for online stores.
Rollback for every change
The previous text is stored so a batch can be restored in one step. When something goes wrong in listing optimization for online stores, the failure is named, retried within safe limits and listed for you, instead of vanishing into a log nobody reads.
Small batches with a test period
Changes go out a few listings at a time and are compared after a fixed period. This safeguard runs on every batch and not only on a schedule, so a problem in listing optimization is caught before it can spread to the next record for online stores.
Alerts for suppressions
A suppressed or flagged listing raises an alert with the listing and the reason. Each alert names the rule, the record and the next step, which means you can fix the cause from the message alone without opening any tool in the listing optimization build for online stores.
A rule sheet kept current
We re-read channel documentation at build time and when a change is reported. We compare the results of listing optimization with your own records on a regular basis, so a small drift for online stores is repaired before it becomes a large one.
Plain explanations after setbacks
If a batch performs worse, the owner explains in writing what happened and restores the previous text. If a check fails, nothing is sent or changed for that record, and it waits in a short list for you, because a delay costs less than a wrong action in the listing optimization build for online stores.
Permissions, account safety and ownership in listing optimization
Seller accounts are valuable and easy to damage, so access is narrow and every action is reversible.
Least-privilege access
We ask for the narrowest listing and report permissions each channel offers and never request your login password. If a key is ever lost, it can be replaced in minutes without rebuilding the listing optimization work for online stores, because the rules do not depend on it.
Terms respected
We use official APIs and report access only and do not scrape marketplaces or manipulate reviews. The arrangement is reviewed at the end of the month of corrections, and any access that is no longer needed is removed in writing in the listing optimization build for online stores.
Tokens in your accounts
API credentials are created in your accounts and can be revoked at any time. Customer details are never used to train outside models, and drafts for online stores are built only from the facts and records you supply in the listing optimization work.
Cost and margin data private
Supplier cost and margin never enter model input or published text. We explain in plain words what each permission allows, so the person approving it for online stores knows exactly what they are agreeing to in the listing optimization work.
Original wording only
We write from your product facts and do not copy competitors’ listings. At the end of the engagement you receive a list of every connection that was made, so nothing stays open by accident in the listing optimization build for online stores.
Clean exit
You receive a list of every connection we made, and our own access is closed at handover. For listing optimization on online stores, access is limited to what the job needs and can be withdrawn in a minute, so ending the work leaves nothing behind.
What you receive with your AI listing optimization
Each plan ends with rebuilt listings, a testing method and the evidence of what changed.
- Ranked search terms for each product in scope, with volume and relevance.
- Rewritten titles, bullets and descriptions within each channel’s current limits.
- Hidden search terms, tags and item specifics filled with distinct terms.
- A rule sheet and an automatic check before every publish.
- A test design with a matched comparison group.
- A side-by-side review screen with one-click rollback.
- A before-and-after report on impressions, clicks and orders.
- A listing health scan that flags suppressed or declining listings.
- Thirty days of fixes after the first batch is measured.
Verified client reviews and the testing method behind our listing work
The unedited words of verified clients of the Checkout Loom team appear below, followed by the testing rules every listing build follows.
- 1change at a time is tested against a matched group, so a result can be traced to its cause.
- 100%of listings are checked against the current channel rules before they are saved.
- 30 daysof fixes follow the first measured batch so the method settles before we step back.
Channel limits and rules come from marketplace documentation and are checked again at build time because they change.
★★★★★
I highly recommend ordering from the Checkout Loom team. I had slow responses and poor communication with other providers, but this team was great and I am very happy with their service.
HarmetUnited States
Verified
★★★★★
I am a returning customer because my first AI automation workflow worked so well. Once again everything was built exactly as requested, and the whole process was reliable from start to finish.
WilliamUnited States
Verified
★★★★★
The determination and commitment to quality from the Checkout Loom team were clear from day one. They understood my requirements perfectly and completed everything with professionalism and care, and it is rare to find a team this dependable.
LorcanColombia
Verified
★★★★★
It was an excellent experience from start to finish, and the automation works reliably with everything configured properly. It is clear that the team has strong knowledge of automation, and I will definitely be returning for future work.
EllieUnited States
Verified
★★★★★
The team carefully investigated the problem, tested different scenarios and delivered a dependable solution. A duplicate contact issue had been causing problems for quite some time, and it is finally resolved.
RichardUnited States
Verified
★★★★★
The Checkout Loom team were easy to work with and brilliant at the work itself. I highly recommend them to anyone who needs dependable automation.
IveraAutomation client
Verified
★★★★★
Everything was configured exactly as discussed, and the team made sure the automation was stable before delivering it. It has been a huge time-saver for our whole team, and it runs without any manual work.
BellamyUnited States
Verified
★★★★★
This was excellent automation work, and it is clear that the team has strong experience with AI and automation. I highly recommend the Checkout Loom team to other businesses.
FinnUnited States
Verified
How the listing build runs from audit to a measured first batch
We measure before we change anything, because without a baseline there is nothing to prove.
- 01
Audit your listings
We export your listings and reports, find suppressed and thin ones and record baseline impressions, clicks and orders. If this step shows a problem, we say so at once and propose the fix, and the date for listing optimization is moved in writing rather than quietly for online stores.
- 02
Research the terms
We research and rank search terms for each product from reports, tools and competitor listings. Nothing in this step touches your live customers, so online stores can review it calmly and ask for changes before anything goes public in the listing optimization work.
- 03
Write the rule sheet
We write down the current limits, banned words and required fields for each channel in scope. The step has a clear finish line, which means you always know whether the listing optimization work for online stores is on time or running behind.
- 04
Draft and check
We draft titles, bullets and hidden terms and check every listing against the rule sheet. Questions that arise here are answered in writing, so there is a record of every decision made about listing optimization for online stores.
- 05
Publish a test batch
We publish a small batch beside a matched unchanged group and compare results after the test period. We keep each step small enough to check, because large steps hide mistakes and make the listing optimization build harder to correct for online stores.
- 06
Roll out and hand over
We apply the winning pattern to the rest in batches and hand over the report with a month of fixes. At the end of this step you approve or ask for changes, and the next stage of listing optimization starts only after your reply for online stores.
Estimate what a rebuilt set of listings could add in sales
Enter your listing sales and the lift you expect and the estimate shows the extra revenue, using figures you can change.
Extra revenue each month–
Extra revenue each year–
Extra margin each year–
Impressions do not always turn into sales at the same rate, so the conversion share is deliberately cautious and the result is a planning guide.
AI listing optimization questions, answered in full
These are the questions marketplace sellers ask about tools, pricing, reviews, free options and results before they order AI listing optimization.
What is AI listing optimization for online stores?
It is the process of rebuilding marketplace titles, bullets, descriptions and hidden search fields from real shopper search data, checking them against each channel’s rules and testing the changes in batches so you can measure what improved.
How does AI Amazon listing optimization work?
AI Amazon listing optimization researches the terms shoppers use, writes a title and five bullets within Amazon’s current limits, fills the backend search terms with distinct words and publishes in a tested batch. Amazon’s title rules have been changing, so we check the current limit in Seller Central first.
What does listing optimization AI pricing look like?
Listing optimization AI pricing usually means a monthly subscription for a tool, often with credits for each listing. Our price is a one-time build for the listings and channels in your plan, plus whatever keyword tools and model usage you choose to pay for.
Is there a listing optimization AI free option that works?
Free listing optimization AI tools can suggest wording, but they usually do not research search demand, check current channel rules or measure results. They are a reasonable way to experiment, and we can use them inside our process where they help.
Where can I find a listing optimization AI review I can trust?
A listing optimization AI review is most useful when it shows measured before and after results on real listings. We keep a matched unchanged group and report the difference, so you see evidence for your own catalogue rather than a general opinion.
Which listing optimization AI tool should I choose?
A listing optimization AI tool is only as good as the data and checks around it. We compare the tools you already use and recommend the cheapest combination that gives you search data, rule checks and publishing.
Will rewriting my listings hurt my ranking?
Careful changes should not, because we change a few listings at a time, keep a comparison group, store the old text for instant rollback and handle strong sellers last.
Do you work on Etsy, eBay and Walmart as well as Amazon?
Yes, each channel gets its own rule sheet and text, for example the roughly 140 character Etsy title and the roughly 80 character eBay title that marketplace sources report, which we confirm at build time.
When will I see results and what do you need from me?
The first batch is usually live in two to three weeks and measured over the test period that follows. We need read and listing access through each channel’s official tools, your product facts and any keyword tools you use, and we send a written checklist after you order.
What will tools and model usage cost me each month?
Our fee is charged once, while any keyword tool subscription and model usage are billed by their providers, and we estimate the monthly total for your listing count before you decide.
Rebuild your marketplace listings around what shoppers really search for
Choose a plan in the pricing calculator and continue to checkout, or request a quote with your marketplace links, the number of listings and any keyword tools you use. We reply in writing within one working day with a confirmed start date and a short checklist, so the baseline audit begins straight away.
- One fixed price from $1,390, paid once
- Every change tested against a comparison group
- Thirty days of corrections once the first batch is measured