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.
Of all the companies we get compared with, Teikametrics is the one whose thinking is closest to ours. It bids every hour, it forecasts CVR for each keyword, and it lets you bring in your cost of goods so bids can account for profit. If you’re weighing the two of us, you’re already asking the right questions.
The differences come down to two things. First, who runs the account: Teikametrics is software your team uses, with strategists available on higher plans, while Laurence runs your Amazon ads for you. Second, how each click is priced: we work out the CVR for each placement separately, and price how sure we are about each search term’s CVR into its bid.
| Laurence | Teikametrics | |
|---|---|---|
| What it is | A company that runs your Amazon ads end to end. Models do the work; our deployments team reviews it. | In its words, an “AI Marketplace Optimization Platform”, with managed service as an option. |
| Who does the day-to-day work | We do. You set the goal and the limits. | Your team, with the software; a strategist on Advanced (optional) and Enterprise. |
| What a bid aims at | What the click is worth: CVR × order value × margin, priced for each placement. | An ACOS limit you set per ad group, adjusted by a campaign goal such as Grow, Profit or ROAS. |
| Profit inputs | Your margin after Amazon’s fees and returns, sharper with your cost of goods. | Cost of goods per product, used for profit reporting and the Profit goal; lifetime value in its Amazon Marketing Cloud dashboards. |
| How often bids change | Every search term’s bid every hour; placement modifiers every night; budgets checked every hour. | Every hour on Amazon, across all ad types; daily on Walmart. |
| Keywords and negatives | Found and priced by our models across every search in your category. | Daily recommendations you accept, or switch on to run without review. |
| Channels | Amazon Sponsored Products, Brands and Display, and Amazon DSP. Meta and Google are in early beta. | Amazon, Walmart (including onsite display), TikTok Shop and Amazon DSP. |
| Pricing | Agreed with your pilot, after we’ve built a proposal from your own data. | Published: from $149 a month billed annually ($179 monthly) up to $10k of ad spend, then custom pricing plus 3% of spend above that. |
Teikametrics details from teikametrics.com and help.teikametrics.com, read November 10, 2026. Laurence figures in this article are medians across the 15 store profiles we run, October 6 to November 4, 2026.
Teikametrics, in a few paragraphs
Teikametrics is a Boston company led by its founder, Alasdair McLean-Foreman, and backed by investors including Intel Capital. It describes itself as an AI Marketplace Optimization Platform, built on what it calls ARI, “Artificial Retail Intelligence”, and says it supports thousands of sellers with more than $10 billion in sales between them. Customers it names include Munchkin, Clarks, Solo Stove and Funko.
Its bidder is genuinely sophisticated. Teikametrics forecasts CVR and order value for each keyword, taking in seasonality, price, inventory and match type, and learning from data across other sellers. On Amazon it bids every hour using Amazon Marketing Stream, across every ad type. You set an ACOS limit for each ad group, which Teikametrics describes as your break-even, and choose a goal for each campaign: Launch, Awareness, Grow, Profit, ROAS or Liquidate.
It does a lot beyond bidding, too: daily keyword and negative recommendations, dayparting, budget pacing, Amazon Marketing Cloud without writing queries, AI-written listing updates, an assistant you can ask questions, and refund recovery. It covers Walmart and TikTok Shop as well as Amazon. And it publishes its pricing, starting at $149 a month billed annually with a free trial, which makes it one of the easiest places in the category to start.
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 run every account, and our deployments team sets your strategy with you, reviews what the models did, and is who you talk to.
The idea underneath is that advertising is a math problem. Every click has an expected profit you can work out: how likely it is to convert, what the order is worth, what you keep after costs, and what the click cost. Once you can price a single click, the right bid, placement modifier and budget follow. Our methodology explains it in 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
We share more with Teikametrics than with almost anyone else in the category. We both bid every hour from Amazon Marketing Stream. We both think a keyword’s CVR should be estimated, not just read off its last few clicks, and that keywords with little data should learn from similar ones. And we both think profit, not ACOS alone, is what a bid should ultimately serve.
So this isn’t a comparison between a modern approach and an old one. It’s a comparison between two modern approaches that make different choices about who does the work and what goes into a click’s value.
Software your team uses, or work that gets done for you
On its self-serve plans, Teikametrics gives your team very capable software. Someone on your side launches the campaigns, sets each ad group’s ACOS limit and each campaign’s goal, sets minimum and maximum bids and budgets, and reviews the daily keyword recommendations, unless you let them run on their own. On the Advanced plan you can add a dedicated strategist with monthly sessions, and on Enterprise a senior strategist and team with weekly reviews.
With us, the running of the account is the product. You tell us the goal, whether that’s profit, growth, or a CAC, TACOS or ROAS number, and the limits you want. The models then make the calls a person would otherwise make: 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 the work and is there when you want to talk it through.
| With Laurence | With Teikametrics self-serve | |
|---|---|---|
| Setting the goal | You, with our team | You |
| Setting the ACOS limit or target | Worked out from your margin and each term’s CVR | You, per ad group, with recommended limits |
| Launching campaigns | Our models | You, in the campaign creator |
| New keywords and negatives | Our models | Recommended daily; you accept or let them run |
| Setting bids | Our models, every hour | Teikametrics, every hour |
| Budgets | Our models, checked every hour | You set them; Teikametrics adjusts allocation and suggests increases weekly |
| Checking the work | Our deployments team, and you on the platform | You, or a Teikametrics strategist on higher plans |
How a click is priced
Here’s how we value a click:
Value of a click = CVR × order value × margin − CPC
Teikametrics and Laurence agree on most of this. Teikametrics forecasts CVR and order value for each keyword, its Profit goal uses your cost of goods, and its ACOS limit is meant to sit at break-even. The differences are in the details: we price each placement separately, we price how sure we are about each term’s CVR into its bid, and we treat your target as a limit rather than a place to aim. The sections below take each in turn.
There’s one thing we don’t build into the bid yet: the repeat orders a new customer goes on to place. Teikametrics shows lifetime value in its Amazon Marketing Cloud dashboards. We measure how often each product’s customers come back, and bringing that into the bid, along with what a better organic rank is worth, is what we’re building next. Until then, you can raise a target by hand for a product people buy again.
Targets, placements and budgets
Teikametrics’ goals work as multipliers on your ACOS limit: Launch and Grow let bids run up to or past it, while ROAS holds them below. It’s a clear, practical system. We treat your target as a limit rather than a place to aim, and try to win every click that clears it, so volume grows as far as your economics allow.
Teikametrics’ bidder adjusts for the placement multipliers you set, and its ARI Assistant suggests Top of Search changes each week for you to apply. On the median account we run, clicks at the top of search convert at about twice the rate of clicks lower on the page. So we work out the CVR for each placement, set the base bid for the placement that converts worst, and raise the others with modifiers, reset every night. We also check budgets every hour: a campaign close to its daily budget that is still clearing your ROAS bar gets more for the rest of the day, so profitable ads don’t stop in the afternoon.
Search terms with only a few clicks
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. A term with four clicks and no orders reads as a 0% CVR, but all it really tells you is that 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.
Both of us take this seriously: Teikametrics learns from data across sellers to forecast thin keywords, and we borrow evidence from similar searches in your category. On top of that, we treat each term’s CVR as a range rather than a single forecast, and price that uncertainty into the bid, so a term we know little about is bid more carefully than one we know well, even when their averages match.
Channels, features and price
Teikametrics covers more ground. It runs Amazon, Walmart including onsite display, TikTok Shop and Amazon DSP, and adds listing updates, refund recovery and an AI assistant. Its entry plan is $149 a month billed annually, or $179 monthly, for up to $10,000 of monthly ad spend, with a free trial, and larger accounts pay custom pricing plus 3% of ad spend above $10,000. For a smaller seller with someone to run it, that’s an easy, low-risk way to start.
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 don’t publish a price: we start by asking you to connect your Amazon Ads and Seller Central or Vendor Central accounts with read access, then build a pilot proposal from your own data, showing 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
Teikametrics is probably the better fit if
- You have someone in-house who wants to run the ads with strong, modern software.
- You want a low, published starting price and a free trial.
- You sell on Walmart or TikTok Shop as well as Amazon.
- You’d like listing updates and refund recovery from the same tool.
Laurence is probably the better fit if
- You want the work done for you, not software for your team to run.
- You want each placement priced at what its clicks are worth, set by the models rather than by hand.
- You want thin search terms bid with their uncertainty priced in, and your target treated as a limit.
- Amazon is most of your business, and you want it run as well as it can be.
Switching from Teikametrics to Laurence
You don’t have to switch everything at once. We can run one marketplace or product family while Teikametrics keeps the rest, so you can compare results on your own account before deciding anything.
- 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. Turn off Teikametrics’ bidding on those products so two systems aren’t bidding on the same terms, and check your plan’s billing date so the handover lines up.
- 03We build our own campaigns.Our campaigns carry a Laurence prefix, so 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.
Common questions
Is Laurence an alternative to Teikametrics?
For Amazon ads, yes. Both bid hourly and both care about profit. Teikametrics is software your team runs, with optional strategists, across Amazon, Walmart and TikTok Shop. Laurence runs your Amazon ads for you, prices each placement separately, and prices the uncertainty in each term’s CVR into its bid.
Do Teikametrics and Laurence both bid hourly?
Yes, on Amazon. Teikametrics bids hourly across all Amazon ad types using Amazon Marketing Stream, and daily on Walmart. Laurence re-prices the bid on every search term every hour, resets placement modifiers every night and checks budgets every hour.
Does Laurence run Walmart or TikTok Shop ads?
Not today. Laurence runs Amazon Sponsored Products, Sponsored Brands, Sponsored Display and Amazon DSP, with Meta and Google ads in early beta. Teikametrics runs Walmart and TikTok Shop today.
Do I need someone on my team to run Laurence?
No. You set the goal and the limits, and Laurence does the day-to-day work. You can see every decision and the reason for it on the Laurence platform, and our team is there when you have questions.
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 Teikametrics’ products, pricing and features from teikametrics.com and its help center as of November 10, 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 charts use made-up numbers to show the idea. If we’ve got anything about Teikametrics wrong or out of date, tell us and we’ll fix it.
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