Laurence vs Canopy Management
Both run your Amazon ads for you. The real difference is who makes each call: at Canopy Management, ad specialists adjust your campaigns toward an ACOS target; at Laurence, models price what each click is worth to you every hour, and people review the work.
“How are you different from an agency like Canopy Management?” is a question we hear on first calls. It’s a fair question. From the outside, we do the same job: both of us take the day-to-day work of running a brand’s Amazon ads off its hands, and both of us have people you can talk to about it.
The short version: Canopy Management is a full-service agency. Its ad specialists run your campaigns toward an ACOS target, with its own software behind them, and the same team can take on your listings, photos, customer service, inventory and Walmart. Laurence starts by asking what each click is worth to you, from your margin and how likely that click is to convert at each placement, and our models bid that every hour while our team reviews the work. Your target is still there, but as a guardrail rather than the starting point.
| Laurence | Canopy Management | |
|---|---|---|
| What it is | Models run your Amazon ads; our deployments team reviews the work and is your point of contact. | In their words, a “full service Amazon agency”, “human led, software driven”, with campaigns “managed by ad specialists, not AI”. |
| What a bid aims at | What the click is worth: CVR × order value × margin, priced for each placement. | An ACOS target set by marketing strategy, starting from your break-even ACOS. |
| How often bids change | Every search term’s bid every hour; placement modifiers every night; budgets checked every hour. | Its ad specialists make daily campaign adjustments, and budgets are adjusted daily. |
| Search terms with little data | Each term’s CVR is treated as a range, and thin terms borrow evidence from similar searches. | Specialists use research and its own software to find keywords to add and to cut. |
| Campaign structure | Each product’s search terms grouped into campaigns by cluster, with every term still bid on its own. | A strategy built for each brand, with what it calls “the ideal blend of Sponsored Ad types”. |
| Organic rank | Tracked every day on the terms we bid on, with products judged on TACOS. Pricing rank into each bid is what we’re building next. | Through its Amazon SEO and listing optimization services. |
| Channels | Amazon Sponsored Products, Brands and Display, and Amazon DSP. Meta and Google are in early beta. | Amazon (including DSP), Walmart, Chewy and Google ads. |
| Your own rules | None to write. You set the goal and the limits. | None to write: its specialists set up, monitor and adjust your campaigns toward your goals. |
| What you see | Every search term’s results, every bid’s history with the reason it moved, and Ask Laurence for questions. | A personalized dashboard in its own software, C.A.T., used in weekly meetings with your team, plus custom reports. |
| Size | A young company running fewer accounts, in more depth. | Working with brands since 2015; more than 100 Amazon and Walmart experts; 1,000+ brands and $3.2B+ in managed revenue, per its home page. |
Canopy Management details from canopymanagement.com, read November 11, 2026. Laurence figures in this article are medians across the 15 store profiles we run, October 6 to November 4, 2026.
Canopy Management, in a few paragraphs
Canopy calls itself a “full service Amazon agency”, and it has been helping brands since 2015. Its home page counts more than 1,000 brands scaled and more than $3.2 billion in managed revenue, and its team is more than 100 Amazon and Walmart experts, built, in its words, “by Amazon sellers for Amazon Sellers.” In 2022 it ranked 325th on the Inc. 500 list of America’s fastest-growing private companies. That’s a real track record, and we respect it.
The way it works is in its own phrase: “human led, software driven.” Its PPC page says campaigns are “managed by ad specialists, not AI”: a hand-picked team of ad specialists sets up, monitors and adjusts your campaigns, with budget adjustments every day. They work in Canopy Ad Technology (C.A.T.), its own ad software, built on PPC Scope, which Canopy bought in 2019. C.A.T. gives the specialists the performance detail for their daily campaign adjustments, and gives you a dashboard that Canopy calls “the single source of truth for weekly meetings with our team.”
What stands out most is how much of the business it covers. Its full-service management takes in PPC and Amazon DSP, listing optimization, Amazon SEO, product photography and video, customer service, inventory planning, account health support and recovering money you’re owed for lost inventory. It also runs Walmart and Chewy, including their ads, and Google ads. If you want one partner running your whole Amazon business, not just the ads, that’s hard to match.
Laurence, in a few paragraphs
We’re building autonomous advertising across the entire internet, starting with Amazon Ads for e-commerce brands. We’re a full-stack AI company: we aren’t a tool your team has to operate, and we aren’t an agency selling hours. Our models do the work on every account, and our deployments team sets your strategy with you, reviews what the models did, and is the people you talk to.
The belief underneath everything we do is that advertising is a math problem. A click has an expected profit you can actually calculate: how likely it is to convert, what the order is worth, what you keep after costs, and what you paid for it. Once you can price a single click, the right bid, placement modifier and budget follow. Our methodology goes into more detail.
- BID CHANGES
- ~10,000
- a week, recalculated hourly
- SEARCHES BID ON
- ~6,300
- got a click last month
- TOP OF SEARCH
- ~2×
- the CVR of lower placements
- THIN-DATA TERMS
- 95%
- get under ten clicks a month
Where we agree
Before the differences, it’s worth saying what we have in common, because it sets both of us apart from a tool your team has to run.
We both do the work for you. With either of us, you agree the goals and someone else runs the campaigns day to day. We both start from your economics: Canopy’s own advice is to work out your break-even ACOS and use it as a target, and our bids start from your margin too. And we both think people should stay involved: to set the strategy, to catch what software misses, and to be someone you can call.
If you’re running your Amazon ads yourself today, either of us will take a lot off your plate. The rest of this page is about how to choose between the two.
What each bid is aiming at
This is the difference that moves your numbers most, so it gets the most space.
Canopy works to an ACOS target. Its PPC page says targets “are based on marketing strategy and can vary depending on factors like competition and product prices”, and recommends knowing your break-even ACOS and using it as the target. That’s how most of the industry works, and there’s a good reason for it. A target is simple to agree on and simple to check: pick a number, and the team holds the account to it.
We start one step earlier, with what the click is worth to you. The math fits on one line:
Value of a click = CVR × order value × margin − CPC
Order value is what the shopper spends on that order. A customer who comes back is worth more than one order, and we already measure how often that happens for each product; bringing it into the bid is what we’re building next. Margin is what you keep after the cost of the product, Amazon’s fees and returns. Bid below that value and the click makes you money; bid above it and it doesn’t. A target ACOS is a shortcut to the same answer, and it only lands in the right place when the target happens to match what the product can afford. Here’s what that looks like with three products and one target:
One target, three different click values
The same search term on three products: 12% CVR and a $40 order. A 30% ACOS target allows the same bid on all three.
One more thing we care about: we treat your target as a limit, not the goal, and try to win every click that clears it, so your volume grows as far as your economics allow.
To be fair, a break-even ACOS is exactly what a product can afford, which is why Canopy starts there. The hard part is keeping it right for every product as prices, margins and CVR change, and knowing each search term’s and each placement’s CVR well enough to apply it. That’s the part we take off your plate. We recalculate the value from your numbers for every search term every hour and every placement every night, and your ROAS, CAC or TACOS goal stays on top as a limit the bids have to respect.
Search terms with only a few clicks
Something that surprised us when we started: most of what an Amazon account pays for barely has any data. On the median account we run, 95% of the search terms that get a click get fewer than ten clicks a month. With that little to go on, a term’s average CVR is mostly noise. Four clicks and no orders reads as 0%, but it really just means you don’t know yet.
How much a CVR is worth trusting
Three search terms. The diamond is the CVR each term has shown so far; the band is the range its own clicks can support.
Canopy’s specialists combine research with its own software to find the keywords missing from your campaigns and negative match the ones “draining your budget”, and that judgment is what a good specialist brings. Our approach is to treat each term’s CVR as a range instead of one number. A term with little history gets bid with that uncertainty priced in, and it borrows evidence from similar searches, so it starts from a sensible guess rather than from zero. As clicks come in, the range tightens and the bid settles toward what the term has actually shown.
Placements and organic rank
Amazon lets you bid once per search term and then raise that bid for certain placements. That matters more than it sounds: on the median account we run, clicks at the top of search convert at about twice the rate of clicks further down. So we work out the CVR for each placement and bid each one at what its clicks are worth. In practice that means setting the base bid for the placement that converts worst, then raising the others with modifiers, so product page clicks aren’t bought at a top-of-search price.
Organic rank matters to both of us. Ad sales help a product climb the organic results, and organic sales don’t cost anything per click. We track your organic rank on the terms we bid on every day and judge each product on TACOS, so the organic sales your ads help earn are counted. Pricing what each rank is worth into the bid itself is what we’re building next. Canopy treats organic growth as its own line of work: its Amazon SEO service works on ranking your products higher on your most profitable keywords, and its listing work aims to lower ad costs and improve ranking.
Who does the work, and what you get to see
With Canopy, people make the calls. Its ad specialists set up, monitor and adjust your campaigns, and C.A.T. gives them the performance detail for their daily changes. Your dashboard in C.A.T. is what you and your team look at together in weekly meetings. That’s a good fit if you want someone who knows your account making each change and talking you through it.
With us, models make those calls and people review them. You tell us the goal, whether that’s profit, growth, or a CAC, TACOS or ROAS number, and the limits you want, and the models make the calls a person would otherwise make by hand: which searches to go after, what to bid on each one every hour, how to price each placement, and how to set budgets. Our team checks what the models did and is there whenever you want to talk it through.
Campaign structure is a smaller point, but it shapes what you see every day. Canopy builds each brand its own ad strategy, with what it calls “the ideal blend of Sponsored Ad types”. We group each product’s search terms into campaigns by cluster and still give every term its own bid, so the console stays readable and the detail lives on our platform.
We also care a lot about you being able to see why. In the Laurence platform every search term shows its spend, sales, ROAS and clicks, and every bid has a history with a plain-English reason for each change. Ask Laurence answers questions about your business from the same data the models use. If something looks off, you shouldn’t have to wait for a call to find out why.
Channels and services
Canopy simply covers more of your business today. Beyond Amazon ads and Amazon DSP, it takes on listings, Amazon SEO, photos and video, customer service, inventory and account health, and it runs Walmart, Chewy and Google ads.
We run Amazon Sponsored Products, Sponsored Brands and Sponsored Display, and Amazon DSP on our own seat. Meta and Google are in early beta, and we’re holding them to the same standard as Amazon before we call them ready. We’d rather go deep before we go wide. But if Walmart or Chewy is a big part of your business today, or you want one team for your listings, photos and customer service too, that’s a real reason to look at Canopy.
Pricing and getting started
Neither of us publishes a price list. Canopy starts with a free strategy session and a quote, and says its full-service management has no minimum requirements. For Amazon DSP, its DSP page lists a $5,000 minimum order and asks for at least 100,000 sessions and $100,000 in sales a month. We start by asking you to connect your Amazon Ads and Seller Central or Vendor Central accounts with read access, and then build you a pilot proposal from your own data: where your ad money goes today, the targets we’d set for each product line, and the bids our models would place. Pricing is agreed with the pilot.
Which one is right for you
Canopy Management is probably the better fit if
- You want people making each call on your account, with software in support.
- You want one team for the whole Amazon business: listings, photos and video, customer service, inventory and account health, as well as ads.
- You sell on Walmart or Chewy too, and want the same team running them.
- You value a weekly meeting with a team that knows your account well.
Laurence is probably the better fit if
- You want every bid priced from your margin and each term’s CVR, not a ROAS target alone.
- You have lots of search terms with only a few clicks each, and want each one bid with its uncertainty priced in, borrowing evidence from similar searches.
- You want the work done for you, with a plain-English reason behind every bid change on your own platform.
- Amazon is most of your business, and you want it run as well as it can be.
Switching from Canopy Management to Laurence
You don’t have to switch everything at once, and honestly, we’d suggest you don’t. We can run one marketplace or one product family while Canopy keeps the rest. That way you get a clean comparison on your own account instead of taking our word for it.
It also helps to be honest about what you’re replacing. For many brands, Canopy’s team is who they work with every week, often on more than ads, so switching changes who you talk to, not just who sets the bids. Starting with one product line makes that change smaller.
- 01Connect with read access.We read your Amazon Ads and Seller Central or Vendor Central data to build your pilot proposal. Nothing in your account changes at this point.
- 02Agree on the pilot.You pick the products and the goals. Check the notice period in your Canopy agreement so the handover lines up, and agree up front what Canopy keeps running, such as DSP, listings or Walmart, so both sides’ results stay clean.
- 03We build our own campaigns.Our campaigns carry a Laurence prefix, and we pause the existing ones on the products we take over, so the results stay easy to tell apart. Your history stays in your account.
- 04If you stop.If you stop, we pause and archive our campaigns and leave yours as they were, so you can turn them back on.
Common questions
Is Laurence an alternative to Canopy Management?
For Amazon ads, yes. Both run your Amazon advertising for you, with people you can talk to. At Canopy, ad specialists make the calls with its own software in support; at Laurence, models price every search term every hour and our team reviews the work. Canopy also takes on work beyond ads, such as listings, photos and customer service, and runs Walmart and Chewy.
Is Laurence an agency?
No. An agency sells its people’s time. We’re a full-stack AI company: our models do the work on every account, and our deployments team sets your strategy with you, reviews what the models did, and is the people you talk to. Our guide to agencies, software and the third option sets out how the three compare.
How often do Canopy Management and Laurence change bids?
Canopy’s ad specialists make daily campaign adjustments, and it adjusts budgets daily. Laurence re-prices the bid on every search term every hour, which comes to about 10,000 bid changes a week on the median account we run, resets placement modifiers every night and checks budgets every hour.
Does Laurence run Walmart or Chewy ads?
Not today. Laurence runs Amazon Sponsored Products, Sponsored Brands, Sponsored Display and Amazon DSP, with Meta and Google ads in early beta. Canopy runs Walmart and Chewy today.
Does Laurence need my cost of goods?
It helps, but you can start without it. Laurence works from your Amazon Ads history and sales data. A margin or cost of goods for each product makes each click’s value more accurate.
Can I run Laurence and Canopy Management at the same time?
Yes, on separate products or marketplaces. Laurence bids only on the campaigns it creates, and pauses your existing ones only on the products it takes over, so each side’s results stay easy to read.
The best way to compare is on your own account. Connect it, and we’ll show you what each click on your top search terms is worth and what our models would bid.
How we wrote this. We described Canopy Management’s services, channels, size and methods from canopymanagement.com as of November 11, 2026, and things may have changed since. Laurence figures are medians across the 15 store profiles we run, covering all of their Sponsored Products spend, October 6 to November 4, 2026. The click value chart uses made-up numbers to show the idea. If we’ve got anything about Canopy Management wrong or out of date, tell us and we’ll fix it.
More comparisons
- Updated November 10, 2026
Laurence vs Quartile
Both bid on your Amazon ads every hour. The real difference is what the bid is aiming at: Quartile aims at the target you give it, such as ROAS or TACOS, and Laurence aims at what each click is actually worth to your business.
- Updated November 10, 2026
Laurence vs Pacvue
Pacvue is software your team or agency uses to run ads across more than a hundred retailers. Laurence runs your Amazon ads for you, pricing every click from your margin and its CVR, every hour.
- Updated November 10, 2026
Laurence vs Perpetua
Perpetua is goal-based software your team uses to run Amazon and retail ads toward a target ACOS. Laurence runs your Amazon ads for you, pricing every click from your margin and its CVR, every hour.
- Updated November 10, 2026
Laurence vs Teikametrics
Teikametrics is AI software, with optional strategists, that bids toward an ACOS limit and goal you set, hourly on Amazon, across Amazon, Walmart and TikTok Shop. Laurence runs your Amazon ads for you, pricing every click from your margin and its CVR, every hour.
- Updated November 10, 2026
Laurence vs Helium 10
Helium 10 is an all-in-one toolkit for Amazon sellers who run their own business, with an ads tool you set up and steer yourself. Laurence runs your Amazon ads for you, pricing every click from your margin and its CVR, every hour.
- Updated November 10, 2026
Laurence vs Jungle Scout
Jungle Scout is Amazon market data and software: research tools for sellers, and for brands a platform whose ads tools your team steers toward an ACOS or ROAS target. Laurence runs your Amazon ads for you, pricing every click from your margin and its CVR, every hour.
- Updated November 10, 2026
Laurence vs Skai
Skai is enterprise software your team or agency uses to run search, social and retail media across hundreds of publishers. Laurence runs your Amazon ads for you, pricing every click from your margin and its CVR, every hour.
- Updated November 12, 2026
Laurence vs Xnurta
Xnurta is an AI retail media platform your team or agency steers: its AI adjusts Amazon bids hourly toward a target ACOS you set, and it also runs Walmart and Criteo ads. Laurence runs your Amazon ads for you, pricing every click from your margin and its CVR, every hour.
- Updated November 12, 2026
Laurence vs m19
m19 is AI software for Amazon ads that sets every bid once a day toward the ACOS or TACOS target, or monthly budget, your team picks for each group of products. Laurence runs your Amazon ads for you, pricing every click from your margin and its CVR, every hour.
- Updated November 12, 2026
Laurence vs Stackline
Stackline is retail market data and software: its Ad Manager lets your team, or Stackline’s own experts, run ads across Amazon, Walmart, Target and more. Laurence runs your Amazon ads for you, pricing every click from your margin and its CVR, every hour.
- Updated November 11, 2026
Laurence vs Tinuiti
Tinuiti is a full-funnel marketing agency whose teams run your Amazon ads as one part of a plan across retailers, TV, social and search. Laurence runs Amazon ads with models that bid what each click is worth to your business, every hour, and a team that reviews the work.
- Updated November 11, 2026
Laurence vs Flywheel
Flywheel, Omnicom’s commerce business, runs retail media, content and operations for large brands across more than a hundred retailers. Laurence runs your Amazon ads for you, pricing every click from your margin and its CVR, every hour.


