ChatGPT answers, unedited

Yes. If you're talking about ecommerce PPC/retail-media bid automation across thousands of SKUs, there are several platforms built specifically for this rather than trying to manage bids manually in each ad platform.

The main options

• Pacvue — probably the most enterprise-oriented option. It supports automated bidding, budget pacing, dayparting, product-level orchestration, inventory/Buy Box signals, and optimization across 100+ retail media networks. Pacvue Pacvue

pacvue.com

• Perpetua — strong for Amazon/Walmart and other marketplaces. You define goals such as ROAS/ACOS and its system handles campaign creation and optimization, including conversion-based bidding. Perpetua

perpetua.io

• Feedvisor — particularly interesting if you're Amazon-heavy and want bidding tied to broader business metrics. Its current Agentis platform connects advertising with pricing, inventory, competition, and margin data. Feedvisor

feedvisor.com

• Channable — interesting if your problem is catalog → campaign creation → automated optimization. It explicitly supports creating and optimizing thousands of Amazon product ads from a product feed. Channable

channable.com

• m19 — Amazon-focused and specifically designed to make bid decisions at the ASIN/keyword level, including adapting bids to competition and sales goals. M19

m19.com

• Adchieve — another feed-driven approach. Its bid algorithm calculates bids against ROAS/ACOS targets and automatically updates campaigns, with keyword harvesting as well. Adchieve

adchieve.com

If you have thousands of SKUs

The important distinction is whether you need simple bid automation or a system that understands the economics of each SKU.

For example, an advanced system might be making decisions like:

SKU 18472 → $1.12 bid
SKU 18473 → $0.47 bid
SKU 18474 → pause because margin < advertising cost
SKU 18475 → increase bid because conversion rate is rising
SKU 18476 → reduce bid because inventory is only 8 days
SKU 18477 → increase budget because it is under target ROAS

That's substantially different from a rule like "if ACOS > 30%, decrease bid 10%."

For 5,000–100,000+ SKUs, I'd specifically look for:

1. SKU/ASIN-level bid optimization
2. Margin/contribution-profit optimization, not just ROAS
3. Inventory-aware bidding
4. Automatic campaign/keyword creation
5. Budget allocation between products
6. Hourly/intraday optimization
7. Feed/API-based operation, rather than spreadsheet uploads
8. Support for multiple marketplaces/ad networks
9. Guardrails and audit logs
10. Ability to ingest your own conversion, margin, inventory and pricing data

Pacvue and Feedvisor are particularly interesting if you need that broader enterprise layer. Pacvue Feedvisor

If you tell me which channels you're advertising on (Amazon, Google Shopping, Walmart, Meta, etc.), roughly how many SKUs, and whether your goal is ROAS, ACOS, contribution margin, or profit, I can narrow this down to the 3–5 tools that actually fit your setup.

Pacvue and Feedvisor are particularly interesting if you need that broader enterprise layer.

Yes. For high-volume ecommerce accounts with thousands (or tens of thousands) of SKUs, there are several bid automation platforms, but the right choice depends on the ad channel (Google Shopping, Amazon Ads, Meta, Walmart, etc.) and whether you optimize for ROAS, profit margin, inventory, or growth.

Some common options:

For thousands of SKUs, look for these capabilities specifically:

• Item-level bidding (not just campaign-level rules)
• Profit-based optimization (contribution margin, COGS, shipping, returns—not only ROAS)
• Inventory-aware bidding (reduce spend on low stock, push overstock)
• Feed integration (Google Merchant Center, Amazon catalog, Shopify, ERP/PIM)
• Bulk campaign restructuring
• Rules + machine learning together (human guardrails with automated execution)
• Change logs / rollback so you can audit automated decisions

A few examples by scenario:

• 10k–1M Google Shopping SKUs: GROW AI, enterprise feed/campaign automation tools, or custom Google Ads scripts + bidding models. GROW AI
• Amazon Seller/Vendor accounts with thousands of ASINs: CommerceIQ, Pacvue, Teikametrics, SellerApp, SellerStack-type tools. CommerceIQ SellerStack
• Shopify/DTC catalogs running Performance Max: tools that connect product feeds, margins, and Google Ads automation are usually more relevant than generic PPC bid tools.

If you tell me:

1. ad channel (Google Shopping, Amazon PPC, Meta, Walmart, etc.),
2. SKU count (e.g., 5k vs 500k),
3. monthly ad spend, and
4. goal (ROAS, profit, revenue growth, liquidation/inventory control),

I can narrow it to the platforms that actually fit that scale.

Yes. If you're talking about Amazon/Walmart retail-media bidding across thousands of SKUs, there are several platforms built specifically for this scale.

• pacvue.com — probably the strongest fit if you have a large enterprise catalog and multiple marketplaces. It automates bids, budgets, pacing, keyword management, and can incorporate inventory, Buy Box, margin, and other commerce signals. It says it supports 100+ retail media networks and has ML-driven bid optimization. Pacvue Pacvue
• teikametrics.com — particularly interesting for Amazon + Walmart. Its Predictive AI Bidder calculates bids at the keyword/target level and automatically pushes changes to the ad platform. It also supports hourly Amazon bidding using Amazon Marketing Stream data. Teikametrics Help Center Teikametrics Help Center
• go.teikametrics.com — more focused on Amazon profitability and algorithmic bidding, including product-level profitability rather than simply optimizing toward a generic ROAS/ACOS target. Teikametrics

For thousands of SKUs, I'd look for more than a "bid optimizer"

The important distinction is whether the system can optimize at SKU × campaign × keyword/target × time while incorporating things like:

• SKU-level margin/profit
• inventory and out-of-stock status
• Buy Box ownership
• conversion-rate changes
• seasonality
• TACOS/ACOS/ROAS targets
• different targets by product/brand/category
• budget allocation across campaigns
• intraday bid changes
• automatic keyword harvesting/negation
• bulk campaign creation and restructuring
• API access for custom logic

For a 10,000+ SKU catalog, I'd lean toward Pacvue if you're operating across multiple retailers, and Teikametrics if the problem is primarily Amazon/Walmart advertising.

If you're asking because you're building or evaluating a bid-automation system yourself, that's a different and interesting question—I can also lay out what the architecture/algorithm would look like for managing thousands or millions of bids automatically.

Yes. If you mean automated bid optimization across thousands of SKUs/ASINs, there are several mature platforms built specifically for this.

Strong options

• Pacvue — probably the strongest fit for a very large enterprise catalog. It automates bids, budgets, pacing, keyword optimization, and can incorporate inventory, Buy Box, pricing, and profitability signals. It supports 100+ retail media networks. Pacvue Pacvue

pacvue.com

• Skai — particularly strong if you're managing Google Shopping + Microsoft + Amazon/Walmart/other commerce channels. Its portfolio optimization can algorithmically adjust bids/budgets toward ROAS goals, and it supports bulk management of thousands of entities. Skai Skai

skai.io

• Teikametrics — more marketplace-focused, especially Amazon and Walmart. Its predictive bidder calculates bids at the keyword/target level and incorporates factors such as seasonality, category, and product data. Teikametrics Help Center Teikametrics

teikametrics.com

The important distinction

For 10,000+ SKUs, I wouldn't just look for a tool that says "AI bid optimization." I'd evaluate whether it can optimize at the SKU × keyword/target × campaign level while incorporating:

• Target ROAS / ACOS / contribution margin
• Conversion rate and CVR trends
• Product margin
• Inventory / days of supply
• Buy Box status
• Price competitiveness
• Seasonality
• Search volume
• Placement
• Budget constraints
• New-vs-established SKU learning periods
• Different objectives by SKU/category

Pacvue stands out if your problem is enterprise-scale retail media orchestration. Skai is particularly compelling if Google Shopping/search is a major part of the mix. Teikametrics is worth looking at if the business is predominantly Amazon/Walmart.

If you tell me where the thousands of SKUs are being advertised (Google Shopping, Amazon, Walmart, Meta, etc.) and roughly how many SKUs/campaigns, I can narrow this down to the 2–3 tools that are actually appropriate and explain how their bidding engines differ.

Yes. For high-volume ecommerce catalogs (thousands to millions of SKUs), there are tools that automate bidding, but the right one depends heavily on which ad ecosystem you mean (Amazon Ads, Google Shopping, Meta, Walmart Connect, etc.) and whether you want rule-based automation, ML optimization, or profit-based bidding.

Some categories and examples:

Examples:

• Atom11 is built around Amazon Ads automation for large catalogs, including bulk campaign creation and bid/budget actions across many ASINs. www.atom11.co
• SellerStack focuses on Amazon bid automation with transparent rule-based automation and large-scale bid changes. www.sellerstack.ai
• GROW AI markets SKU-level automation that can recalculate bids using product costs and profit targets across thousands of SKUs. grow.online

For a large ecommerce account, I would usually look for these capabilities:

• SKU/ASIN-level profitability inputs
  • COGS
  • shipping/fulfillment costs
  • return rates
  • inventory position
  • margin targets

• Automated bid logic
  • raise bids when conversion rate + margin support it
  • lower bids on wasted spend
  • suppress low-stock products
  • prioritize high-LTV products

• Bulk operations
  • thousands of campaigns/ad groups
  • API access
  • change logs and rollback

• Segmentation
  • winners vs. long-tail SKUs
  • new products
  • clearance inventory
  • seasonal products

If you tell me:

1. marketplace (Amazon, Google Shopping, Walmart, Shopify + paid search, etc.),
2. approximate scale (5k SKUs, 50k, 500k+), and
3. optimization goal (ROAS, TACoS, profit, revenue growth, inventory clearance),

I can narrow this to the few platforms that actually fit.

Yes. If you’re talking about Amazon / Walmart / retail-media bidding across thousands or tens of thousands of SKUs, there are several platforms specifically built for this.

Strong options

• Pacvue — probably the first one I’d investigate for a genuinely large operation. It automates bids, budgets, dayparting, keyword management, and campaign optimization, and is designed for enterprise brands/agencies. It supports Amazon, Walmart and 100+ retail marketplaces. Pacvue Pacvue
• Feedvisor / Agentis — particularly interesting if you want bidding to account for margin, inventory, pricing, Buy Box, and competition, rather than simply optimizing toward ROAS/ACOS. Feedvisor says its platform supports a 50k-SKU cap per storefront, with larger configurations available. Feedvisor Feedvisor
• Perpetua — strong option for algorithmic Amazon/Walmart advertising optimization, with automated campaign creation and conversion-based bidding. Perpetua
• Skai — another enterprise-level option worth considering if you're managing multiple retail-media channels and need sophisticated bidding/orchestration rather than just an Amazon PPC tool.

The important distinction

For thousands of SKUs, I'd avoid thinking of this as simply "a bid optimizer." The better systems essentially need to do:

SKU → economics → campaign/keyword → bid → budget → inventory → competitive conditions → feedback loop

For example, if SKU A has a 35% contribution margin and SKU B has 8%, you don't necessarily want both bidding to a 25% ACOS target. A more sophisticated system can incorporate margin and inventory into the bidding decision.

That's where Feedvisor/Agentis is particularly interesting: it explicitly connects advertising decisions with pricing, inventory, competition and contribution margin. Feedvisor

Pacvue is compelling if you need a broader enterprise retail-media operating system, particularly across multiple marketplaces. Pacvue

If you tell me which marketplace(s) (Amazon, Walmart, Google Shopping, etc.), approximate SKU count, monthly ad spend, and whether you're optimizing for ROAS, TACoS, contribution margin, or revenue, I can narrow this down to the 2–3 tools I'd actually shortlist and explain how their bidding engines differ.

Yes. There are several tools built specifically for high-volume ecommerce advertising operations where you have thousands of SKUs/ASINs and need automated bid management, budget pacing, keyword harvesting, and SKU-level optimization. The best choice depends on whether you mean Amazon/Walmart marketplace ads, Google Shopping/Performance Max, or a broader omnichannel setup.

For Amazon / marketplace ads (thousands of SKUs)

• Perpetua — A common enterprise choice for Amazon, Walmart, and other retail media. It automates bidding, campaign creation, budget allocation, and reporting across large catalogs. Seller Stacked
• Pacvue — Designed for brands and agencies managing large retail media programs; supports automated optimization, rules, analytics, and marketplace advertising workflows. Seller Stacked
• Quartile — Focuses on algorithmic bid optimization and scaling paid media across large ecommerce catalogs. Protooled
• BidX — Built around automated bid and budget optimization for Amazon/Walmart advertising, including large SKU portfolios. BidX | Scale Marketplace Ads
• CommerceIQ — More of an enterprise commerce operations layer: connects advertising decisions with inventory, margin, Buy Box, and retail data so spend can be adjusted based on business conditions. CommerceIQ

For Google Shopping / product-feed-heavy catalogs

• Skai — Used by larger advertisers for paid search, shopping, and retail media automation.
• Adlucent — Built for large product catalogs and Shopping-style optimization, including automated product targeting and bid management at scale. Adlucent

What to look for with thousands of SKUs

For a catalog that large, I would prioritize:

• SKU/ASIN-level profitability optimization (not just ROAS or ACoS)
• Inventory-aware bidding (reduce spend on low-stock items)
• Automatic campaign restructuring
• Search-term mining + negative keyword automation
• Bulk bid changes via API
• Rules + machine learning together (pure black-box automation can be risky)
• Margin-aware targets (a $20 margin SKU and a $2 margin SKU should not get the same bidding logic)

A typical stack for a large ecommerce brand might look like:

• Amazon-heavy brand: CommerceIQ / Pacvue / Perpetua / BidX
• Marketplace agency managing many clients: Pacvue / Perpetua / BidX
• Google Shopping with 50k+ products: feed management + Shopping automation platform + bidding layer
• Very complex enterprise retailer: CommerceIQ or a custom data warehouse + API bidding system

If you tell me:

1. marketplace (Amazon, Walmart, Google Shopping, Meta, TikTok, etc.),
2. SKU count (5k? 50k? 500k?),
3. monthly ad spend, and
4. whether you optimize for ROAS, profit, revenue growth, or market share,

I can narrow this to the 2–3 tools that actually fit.

Yes. If you're talking about Amazon/Walmart/Google Shopping accounts with thousands or tens of thousands of SKUs, there are several platforms specifically designed to automate bids at that scale.

Strong options

• Pacvue — probably one of the first I'd evaluate for a large enterprise catalog. It automates bids, budgets, keyword harvesting, dayparting, and optimization across Amazon, Walmart and 100+ retail partners. It can also incorporate inventory, Buy Box, pricing and profitability signals into optimization. Pacvue Pacvue
• Quartile — very relevant if you want AI-driven bidding rather than building extensive rules yourself. Quartile specifically positions itself for large catalogs and continuously adjusts bids, placements and budgets across campaigns. It manages billions in retail ad spend. Quartile Quartile
• Skai — more enterprise/omnichannel oriented. It has algorithmic bid and budget optimization, automated search-term management, dayparting and bulk operations across Amazon, Walmart, Target, Instacart and other retailers. Skai Skai

The important distinction

For thousands of SKUs, I wouldn't look for a tool that simply says "automated bidding." The better systems optimize at multiple levels:

SKU/ASIN → keyword → campaign → portfolio → account

and ideally incorporate things like:

• Target ACOS / ROAS
• Contribution margin or profit
• Conversion rate
• Click-through rate
• Inventory / days of supply
• Buy Box ownership
• Organic rank
• Placement
• Search volume
• Seasonality
• Competitor pricing
• New-product vs. mature-product status

That's where Pacvue and Quartile become particularly interesting. Pacvue, for example, explicitly connects advertising optimization with inventory, Buy Box, pricing and profitability signals. Pacvue

If your question is because you're considering building a bid-automation product yourself, that's a somewhat different answer. There is definitely a gap between "generic Amazon PPC automation" and a system that can intelligently optimize 50k–500k SKUs based on SKU-level economics.

If you tell me Amazon vs. Google Shopping vs. Walmart (or all three), approximate SKU count, and whether you're optimizing for ROAS, ACOS, or contribution margin, I can give you a much more specific shortlist and explain which one I'd pick.

Yes. For high-volume ecommerce catalogs with thousands of SKUs, there are several platforms specifically built to automate bidding rather than relying on spreadsheets or manual bid changes.

Strong options

• pacvue.com — probably the first one I'd evaluate for a large enterprise catalog. It supports automated bids, budgets, pacing, dayparting, and SKU/product-level optimization, with integrations across 100+ retail media networks. It can also incorporate inventory, Buy Box, pricing, and sales signals into optimization. Pacvue Pacvue
• quartile.com — particularly strong if you're Amazon-heavy but want Google/Walmart/other channels too. It uses AI/dynamic bidding plus customizable rules, and says it manages $2B+ in annual retail ad spend across 5,300+ customers. Quartile Quartile
• pacvue.com — worth a closer look if Amazon is your main marketplace; it combines automated bidding with budget pacing, dayparting, DSP, and share-of-voice optimization. Pacvue

The important distinction

For thousands of SKUs, I wouldn't look for a tool that merely says "automated bidding." The useful systems can optimize at several levels:

SKU → campaign → keyword/target → placement → budget

while incorporating things like:

• ROAS/ACOS or contribution-margin targets
• conversion rate and sales velocity
• inventory / out-of-stock status
• Buy Box ownership
• product margin
• seasonality
• placement performance
• budget pacing
• cross-channel performance

Pacvue, for example, explicitly supports product-level orchestration and can automatically stop spend on out-of-stock, low-margin, or Buy Box–lost ASINs. Pacvue

If you tell me which marketplace(s) you're advertising on (Amazon, Walmart, Google Shopping, etc.), roughly how many SKUs, and your monthly ad spend, I can narrow this down to the 2–3 tools I'd actually consider and compare them on automation depth, pricing, API access, and scalability.

Yes. If you mean automated PPC/retail-media bidding across thousands of SKUs/ASINs, there are several tools built specifically for this rather than manually managing bids in Google/Amazon.

Strong options

• Pacvue — probably the strongest fit for enterprise-scale ecommerce. It does AI/rules-based bid optimization, budget pacing, dayparting, inventory-aware automation, and can operate across Amazon and 100+ retailers. pacvue.comskai.iowww.teikametrics.comfeedonomics.com
• Skai — enterprise retail-media platform with automated bidding/budgeting, portfolio optimization, search-term automation, and Amazon hourly-data-based bid adjustments. skai.io
• Perpetua — particularly good if Amazon is the center of gravity. It automates keyword management and bidding based on goals such as target ACoS/ROAS and also supports Walmart and other marketplaces. perpetua.io
• Teikametrics — another Amazon-focused option designed around algorithmic bidding at catalog scale. One published customer example describes 3,500+ bid changes per day for a large product catalog. www.teikametrics.com

If you're talking about Google Shopping specifically, that's a somewhat different category: you generally want something that can optimize product-level bids/ROAS across a huge feed, rather than an Amazon PPC manager. Feed management is also important at that scale; Feedonomics, for example, handles large catalogs and granular product-feed optimization, though it isn't primarily a bid-management platform. feedonomics.com

For thousands of SKUs, I'd narrow it down based on your stack:

If you tell me Amazon vs Google Shopping vs both, roughly how many SKUs (e.g. 5k/50k/500k), and whether you're optimizing for ROAS, contribution margin, or revenue growth, I can give you a much more specific shortlist—including which ones can actually handle the scale you're describing.

Yes. If you mean automated PPC bidding across thousands of SKUs/products, there are several serious platforms built for exactly this—not just simple rule-based bid scripts.

Strong options

• teikametrics.com — Probably one of the first I'd evaluate for a very large Amazon/Walmart catalog. Its Predictive AI Bidder calculates bids at the keyword/target level and incorporates factors such as seasonality, holidays, category, and performance. It also has catalog, inventory, and profitability functionality. Teikametrics Help Center Teikametrics
• perpetua.io — Strong for automated Amazon PPC at scale, particularly when you want goal-based optimization rather than maintaining thousands of individual bid rules. It also supports multiple retail-media channels. Ecommerce Times Ecommerce Times
• pacvue.com — More enterprise-oriented. Worth looking at if you're managing very large ad budgets, multiple marketplaces/retailers, and need sophisticated campaign management and reporting.
• quartile.com — Another enterprise-scale automated bidding option, particularly interesting if you're running advertising across Amazon plus Google/Meta/Walmart and want a broader optimization layer.
• skai.io — More of an enterprise omnichannel retail-media platform than an Amazon-specific bid tool.

The important distinction

For thousands of SKUs, I wouldn't choose a tool simply because it says "AI bidding." I'd look for whether it can optimize at something like:

SKU → campaign → ad group → keyword/target → bid

while simultaneously considering:

• conversion rate and recent velocity
• target ACoS/ROAS
• contribution margin, not just revenue
• inventory availability
• price changes
• seasonality
• placement
• search-term performance
• cannibalization between campaigns
• minimum/maximum bid constraints
• budget allocation between thousands of campaigns

Teikametrics, for example, explicitly combines advertising with inventory and profitability signals, and its automation can operate across Amazon and Walmart. Teikametrics Teikametrics

If you're talking about 10,000–100,000+ SKUs, that's a slightly different problem. At that scale, I'd be looking for a programmatic bidding/optimization platform or API-driven system, rather than a conventional Amazon PPC UI.

If you tell me (1) Amazon, Google Shopping, Walmart, or all three, (2) roughly how many SKUs, and (3) monthly ad spend, I can narrow this down to the 3–5 platforms actually suited to your scale and compare their automation capabilities.

Yes. If you mean automated PPC/retail-media bidding across thousands of SKUs, there are several platforms specifically built for that scale.

• feedvisor.com — Probably the closest fit if you're heavily Amazon-focused. Its current Agentis platform does autonomous bid optimization, budget reallocation, keyword discovery, dayparting, and margin/TACoS-aware optimization. It supports up to 50k SKUs per storefront in its stated package. Feedvisor Feedvisor
• quartile.com — Strong choice for very large catalogs and multi-channel ecommerce. It automates bids, budgets, placements, and campaign structures, with optimization across Amazon, Walmart, Google, Meta, Microsoft, Instacart, etc. Quartile says it manages $2B+ in annual retail ad spend across 5,300+ customers. Quartile Quartile
• perpetua.io — More focused on PPC automation, particularly Amazon. It offers automated bidding, keyword harvesting, campaign management, and enterprise-level reporting. Perpetua

If you have thousands of SKUs

I'd narrow it down based on your setup:

The important distinction is that "bid automation" isn't necessarily the same as SKU-level optimization. At your scale, you want a system that can continuously decide which products deserve spend, adjust bids/placements, shift budgets between products, and account for conversion rate, margin, inventory, seasonality, and target ROAS/ACOS—not merely raise/lower keyword bids.

If you tell me (1) Amazon, Google Shopping, Walmart, or all three, (2) roughly how many SKUs, and (3) monthly ad spend, I can give you a much tighter shortlist and explain which platform I'd choose.

Yes. If you're talking about Amazon/Walmart/Google Shopping-style paid commerce with thousands of SKUs, there are several platforms built specifically to automate bidding at that scale.

Strong options

• Pacvue — probably the strongest fit if you're an enterprise/high-volume operation. It does ML-driven bid optimization, budget pacing, dayparting, product-level orchestration, and can optimize based on profitability, inventory, Buy Box status, etc. It supports 100+ retail media networks. Pacvue Pacvue

pacvue.com

• Teikametrics — particularly strong for Amazon/Walmart. Its AI bidding adjusts bids automatically and can incorporate seasonality, holidays, category, product and performance data. It also has inventory/profitability intelligence. Teikametrics Teikametrics

teikametrics.com

• Skai — more of an enterprise cross-channel platform. It algorithmically optimizes bids and budgets and has automation designed for large-scale retail media operations. Skai

skai.io

The important distinction

For 10,000+ SKUs, I'd look beyond a tool that merely says "automated bidding." The interesting architecture is:

SKU → product economics → campaign/keyword → bid → budget → inventory → margin

For example, you ideally want the system to understand:

SKU A has a 42% gross margin, 18 days of inventory, $75 AOV, 6% conversion rate, and a target contribution margin → bid $1.83.

rather than simply:

"ACOS went above target → lower bid 10%."

Pacvue in particular is moving toward this product-level orchestration / margin-aware optimization approach, including automatically reducing spend on out-of-stock, low-margin, or Buy Box–lost products. Pacvue

If you tell me which channel you're running (Amazon, Google Shopping/PMax, Walmart, TikTok, etc.), approximate SKU count, and monthly ad spend, I can narrow this down to the 3–5 tools that are actually appropriate for your scale and compare their automation capabilities.

Yes. If you mean automated bid management across an ecommerce catalog with thousands (or tens/hundreds of thousands) of SKUs, there are several serious platforms built for this.

Strong options

• pacvue.com — probably one of the strongest enterprise options. It automates bids, budgets, dayparting, keyword management, and can incorporate inventory, Buy Box, pricing, and margin signals. It supports Amazon, Walmart, Target, Instacart and 100+ retail media networks. Pacvue Pacvue
• quartile.com — AI-driven bid optimization across Amazon, Walmart, Google, Meta, Instacart and other channels. It is specifically positioned for large ecommerce advertisers and reports managing $2B+ in annual retail ad spend across 5,300+ customers. Quartile Quartile
• grow.online — particularly interesting if your problem is SKU-level profitability, rather than simply maximizing ROAS. It advertises automated campaign builds, margin calculations and bidding across millions of SKUs, with bids calculated from actual profit targets. GROW AI

The important distinction

For a catalog of, say, 50,000 SKUs, I wouldn't look for a tool that simply says "AI bid optimization." I'd look for one that can do something like:

SKU → margin/COGS → conversion rate → revenue target → allowable CPA/ROAS → bid → inventory/price adjustments → continuous feedback

That's considerably more sophisticated than basic Amazon/Google automated bidding.

Pacvue looks especially compelling if you're managing multiple marketplaces and want inventory/Buy Box signals incorporated into bidding. GROW AI is worth investigating if your central problem is "what bid should each SKU have given its actual profitability?" Pacvue GROW AI

If you tell me which channels you're bidding on (Amazon, Google Shopping, Walmart, Meta, etc.), approximate SKU count, and whether your optimization goal is ROAS, contribution margin, or revenue, I can narrow this down to the 2–3 tools that actually fit.

Yes. If you're talking about thousands of SKUs and high-volume ecommerce advertising, there are several tools specifically built to automate bidding at that scale.

Strong options

• pacvue.com — probably one of the strongest enterprise options. It automates bids, budgets, dayparting, keyword management, and can incorporate ASIN-level profitability, inventory, Buy Box, and retail signals. It supports Amazon, Walmart and other retail media networks. Pacvue Pacvue
• perpetua.io — very mature automated bidding platform for Amazon/Walmart/Instacart. You define goals such as profitability, growth, or target ACoS and its algorithms handle bid optimization and campaign execution. Perpetua Perpetua
• bidnamic.com — particularly interesting if your problem is Google Shopping with thousands of SKUs. Its core proposition is SKU-level bidding rather than optimizing large product groups based on averages. Bidnamic
• seller-mate-website-v2.vercel.app — more Amazon-focused and interesting for very large catalogs. It supports automated bid rules, dayparting, bulk operations and claims examples involving 1,000+ SKUs and 2,000+ automated bid changes per day. SellerMate.AI
• sellerstack.ai — Amazon-focused, with transparent rule-based bid automation. It claims 141M+ bid changes across 21 Amazon marketplaces, which makes it worth investigating if transparency/control matters. SellerStack

The important distinction

For 5,000–100,000+ SKUs, I'd look beyond a tool that simply says "AI automatically changes bids."

The better systems can calculate something closer to:

Optimal bid = f(conversion rate, marginal ROAS, SKU margin, inventory, price, organic rank, competition, seasonality, placement, search term, and attribution window)

That's especially important if you care about profit rather than just ACoS/ROAS.

For example, a $100 product with a 40% margin and a $20 product with a 10% margin shouldn't necessarily receive the same bid just because their historical ROAS is identical.

If you tell me what marketplace(s) you're running — Amazon, Google Shopping, Walmart, etc. — roughly how many SKUs, and whether your objective is ROAS, ACoS, contribution margin, or revenue growth, I can narrow this down to the 2–3 platforms I'd seriously evaluate.

Yes. If you're talking about Amazon/Walmart/Google Shopping-style ecommerce advertising with thousands or tens of thousands of SKUs, there are several platforms built specifically for this.

Strong options

• pacvue.com — probably one of the strongest fits for high-volume retail media. It supports automated bid/budget optimization, SKU-level optimization, rules, dayparting, and Amazon DSP/Sponsored Ads. It also operates across 90+ marketplaces/retail sites. Pacvue Pacvue
• feedvisor.com — particularly interesting if Amazon is the core channel. Its current Agentis platform combines advertising optimization with pricing, inventory, competition, demand, and margin signals. It explicitly supports autonomous bid optimization and very large catalogs. Feedvisor Feedvisor
• quartile.com — very strong for product-level automated bidding across channels. It says it optimizes advertising for 5,300+ brands and supports Amazon, Google, Walmart, Instacart, Meta, Microsoft, etc. Quartile
• skai.io — more enterprise/omnichannel oriented. It has automated bid and budget optimization, portfolio-level optimization, keyword automation, and retail-media integrations across many retailers. Skai Skai

The important distinction

If you have 10,000+ SKUs, I wouldn't look for a tool that simply says "automated bidding." I'd look for one that can make decisions at something like:

SKU × keyword × placement × marketplace × time × inventory × margin

rather than just:

campaign → target ROAS → adjust bid

For example, Feedvisor is interesting if you want the bid to react to margin, inventory, pricing, competition, and demand, while Pacvue/Skai/Quartile are attractive if your bigger problem is mass campaign management and cross-channel optimization. Feedvisor Pacvue

If you tell me (1) Amazon vs Google Shopping vs Walmart vs all three, (2) roughly how many SKUs, and (3) whether your goal is ROAS, TACoS, contribution margin, or revenue growth, I can narrow this down to the 2–3 tools I'd actually shortlist and explain how they differ.

Yes. If you're talking about Amazon/Walmart/retail-media accounts with thousands of SKUs, there are several platforms specifically built to automate bids at that scale.

The ones I'd look at

• pacvue.com — probably the strongest fit for large enterprise catalogs. It uses ML-driven bid optimization, budget pacing, dayparting, inventory/Buy Box signals, and product-level orchestration. It supports automation across 100+ retail media networks. Pacvue Pacvue
• teikametrics.com — particularly interesting for Amazon + Walmart. Its Predictive AI Bidder calculates bids at the keyword/target level and automatically changes them, incorporating things like conversion rate, seasonality, product price, inventory, and category. Teikametrics Help Center Teikametrics
• perpetua.io — strong option for Amazon PPC automation, including automated bidding, keyword harvesting, campaign optimization, and profitability/ACOS goals. Perpetua Perpetua
• Skai — worth considering if you're managing multiple retail-media channels and want portfolio-level optimization rather than just Amazon PPC. Osmos

For thousands of SKUs, I'd think about it differently

The important question isn't simply "does it automate bids?" Almost all of these do.

The differentiator is whether it can optimize something like:

SKU → ASIN → campaign → ad group → keyword/product target → bid

while simultaneously considering:

• contribution margin / profit rather than just ACOS
• inventory levels
• Buy Box status
• SKU-specific conversion rates
• price changes
• seasonality
• organic ranking
• placement
• budget constraints
• cannibalization between campaigns
• thousands/millions of bid decisions
• different targets for different product groups

For that use case, Pacvue and Teikametrics would be the first two I'd investigate, with Perpetua as another strong candidate.

There is also a completely different route: build your own bidding engine on top of the Amazon Ads API. Amazon explicitly supports programmatic bid optimization, automated budgets, rules, and custom optimization systems through its API. Amazon Ads

If you're asking because you're evaluating/building a bid automation product, I can also break down how these platforms actually do the bidding, what the architecture looks like, and whether there's an opportunity to build something better for 10K–100K+ SKUs.

Yes. If you mean automated PPC/retail-media bidding across thousands of SKUs, there are several serious platforms built for exactly that.

Strong options

• feedvisor.com — Probably one of the best fits for a very large Amazon catalog. Its Agentis platform supports autonomous bid optimization, budget reallocation, dayparting, keyword discovery, and margin-aware optimization. It explicitly supports up to 50K SKUs per storefront on its listed plans, with larger configurations available. Feedvisor Feedvisor
• quartile.com — Enterprise-oriented retail-media automation across Amazon and other channels. It reports managing $2B+ in annual retail ad spend and offers real-time dynamic bidding and automated placement adjustments. Quartile
• perpetua.io — Strong if you want goal-based automation rather than manually managing bids. You set targets such as ACoS/ROAS and budgets, and its engine handles bid optimization, keyword harvesting, campaign creation, and budget management. It supports Amazon, Walmart and other marketplaces. Perpetua Perpetua
• sellerstack.ai — Interesting if you want transparent, rule-driven automation rather than a black-box AI system. It says it has processed 141M+ bid changes across 21 Amazon marketplaces and uses a flat monthly price rather than a percentage of ad spend. SellerStack
• adfixer.com — More Amazon-specific and automation-heavy; it updates bids hourly, logs the reason for each change, and supports margin-aware optimization. ADFIXER

For thousands of SKUs, I'd narrow it to 3

If you're Amazon-heavy: Feedvisor/Agentis or Perpetua.

If you're running Amazon + Walmart + other retail media: Quartile or Perpetua.

If you have an internal PPC team and want highly controllable automation: SellerStack or Adfixer.

The important distinction is that "thousands of SKUs" isn't necessarily the hard part. The real question is whether you need the system to optimize at the SKU × keyword × placement × time-of-day level, while accounting for things like contribution margin, inventory, organic rank, TACoS, conversion rate, and budget constraints. Feedvisor, for example, explicitly connects advertising decisions to pricing, inventory, demand, competition, and margin. Feedvisor

If you tell me which marketplace(s) you're running (Amazon, Walmart, Google Shopping, etc.), approximate SKU count, and monthly ad spend, I can narrow this down to the 2–3 platforms that are actually appropriate for your scale.

Yes. For high-volume ecommerce accounts with thousands of SKUs, there are several bid automation platforms, but the right choice depends heavily on whether you mean Amazon Sponsored Ads, Google Shopping/PMax, Meta catalog ads, or a multi-channel setup.

For large catalogs, look at tools built for SKU/ASIN-level optimization, not generic PPC automation.

Amazon-focused bid automation

• CommerceIQ — enterprise-focused platform for Amazon brands. It combines ad optimization with retail signals like inventory, margin, and Buy Box status, which is important when you have thousands of SKUs. CommerceIQ
• Perpetua — widely used by large Amazon sellers/agencies for automated bidding, campaign management, and scaling catalogs.
• SellerMate.AI — focuses on automated bid rules, budget controls, and bulk campaign operations for large catalogs. SellerMate.AI
• Adtomic by Helium 10 — geared toward Amazon sellers needing PPC automation and keyword management.
• Keel — designed around enterprise Amazon PPC operations, with bid automation, pacing controls, and inventory-aware bidding. Keel
• BidX — supports marketplace advertising automation and bulk optimization across large catalogs. Seller Suite

Google Shopping / product-feed-heavy catalogs

For thousands of SKUs on Google Shopping, look at:

• Kenshoo (now part of Skai) — enterprise paid media optimization.
• Feedonomics — strong for managing large product feeds (often paired with bid platforms).
• Channable — can generate and manage large-scale product ad structures and automate optimization workflows. Channable

What I would look for at your scale

For 5,000–100,000+ SKUs, the important capabilities are:

• Profit/margin-based bidding (not just ROAS) - Example: increase bids on high-margin SKUs even if ROAS is lower.
• Inventory-aware automation - Reduce bids when stock is low or replenishment is delayed.
• SKU-level rules - "Increase bids 15% when conversion rate > X and margin > Y."
• Search-term harvesting - Automatically move converting queries into exact campaigns.
• Bulk campaign restructuring - Thousands of products cannot be managed manually.
• Guardrails - Spend caps, anomaly detection, approval workflows.

A rough fit guide:

If you tell me channel (Amazon, Google Shopping, Walmart, Meta, etc.), monthly ad spend, and SKU count, I can narrow this down to the 3–5 tools that actually fit.

Yes. If you mean automated bid management for an ecommerce catalog with thousands—or tens of thousands—of SKUs, there are several platforms built specifically for that scale.

Strong options

• pacvue.com — Probably the strongest fit if you're running an enterprise operation. It automates bids, budgets, dayparting, keyword management, and campaign restructuring, and can incorporate ASIN-level inventory, pricing, Buy Box, and profitability signals. It also works across 100+ retail media networks. Pacvue Pacvue
• quartile.com — Particularly interesting for large Amazon/Google/retail-media accounts. It combines AI bidding with rules-based automation and claims to manage $2B+ in annual retail ad spend across 5,300+ customers. Quartile Quartile
• perpetua.io — Good if the main problem is Amazon PPC at scale. It handles automated bidding, keyword harvesting, budget optimization, and portfolio-level optimization toward ACOS/ROAS goals. Perpetua Perpetua
• feedvisor.com — Worth looking at if you're specifically Amazon-heavy and have a very large catalog. Its Agentis platform advertises a 50k-SKU cap per storefront and autonomous bid optimization, margin floors, budget reallocation, dayparting, and keyword automation. Feedvisor

For thousands of SKUs, I'd look beyond "bid automation"

The important distinction is whether the tool can optimize at the product/portfolio level, rather than simply changing keyword bids.

For example, an enterprise system should ideally be able to do something like:

SKU/ASIN → margin → inventory → conversion rate → TACoS/ROAS target → campaign/keyword → bid

That allows it to automatically increase bids on profitable/in-stock products, reduce bids on marginal products, stop advertising products that are out of stock or losing the Buy Box, and shift budget toward the highest-opportunity SKUs. Pacvue and Feedvisor explicitly describe this type of product-level orchestration. Feedvisor Pacvue

If you tell me where you're advertising (Amazon, Google Shopping, Walmart, Meta, etc.), roughly how many SKUs, and whether you're optimizing for ROAS, TACoS, profit, or revenue, I can narrow this down to the 2–3 platforms I'd actually evaluate for your setup.

Yes. If you're talking about high-volume ecommerce catalogs with thousands of SKUs/ASINs, there are platforms specifically built to automate bidding rather than having someone manually adjust bids.

Strong options

• pacvue.com — probably the first one I'd investigate for a large Amazon/retail-media operation. It supports AI-driven bid optimization, rules, budget pacing, dayparting, keyword automation, and optimization using signals like inventory, Buy Box status, pricing, and profitability. It also supports 100+ retailers. Pacvue Pacvue Pacvue
• skai.io — particularly interesting if the account spans Google/Microsoft + Amazon/retail media. It offers portfolio-level algorithmic bidding, custom optimization algorithms, automated actions, and bulk management designed for complex/high-scale programs. Skai Skai
• Pacvue for Amazon specifically is worth a close look if your thousands of SKUs are primarily Amazon ASINs. It can automate bids/budgets and incorporate ASIN-level profitability, inventory, and Buy Box signals rather than optimizing purely around advertising metrics. Pacvue Pacvue

The important distinction is what you're optimizing. For 10,000+ SKUs, a good system shouldn't simply say "raise bid when ROAS is good." Ideally it can optimize at the SKU/ASIN level while incorporating:

Revenue/profit target → SKU margin → conversion rate → inventory → Buy Box → price → search volume → competition → placement → time of day → bid

That becomes much more powerful than conventional bid rules.

If you tell me where the ads run (Amazon, Google Shopping/PMax, Walmart, eBay, or multiple) and roughly how many SKUs + monthly ad spend, I can narrow this down to the 3–5 tools that are actually appropriate for your scale.

Yes. If you're talking about Amazon / Walmart / retail-media accounts with thousands of SKUs, there are several serious bid-automation platforms. The right choice depends heavily on whether you want pure bid optimization or automation that understands SKU-level profit, inventory, Buy Box, pricing, and margins.

Strong options for high-volume catalogs

• pacvue.com — probably the first one I'd investigate for a genuinely enterprise-scale account. It supports automated bidding, budget allocation, dayparting, keyword automation, and—importantly—can incorporate inventory and Buy Box signals. It also works across Amazon and other retail media networks. Pacvue Pacvue
• feedvisor.com — particularly interesting if you want profit-aware automation rather than simply optimizing toward ACoS/ROAS. Its Agentis platform connects advertising with pricing, competition, inventory, and demand, and says it optimizes across the catalog at SKU/product level. Feedvisor
• perpetua.io — strong if you want a more hands-off goal-based system. You set targets such as ACoS and budget and its engine handles keyword and bid optimization. It supports Amazon, Walmart, and other marketplaces. Perpetua Perpetua
• Quartile — worth evaluating if the primary problem is massive campaign/SKU complexity. It is commonly positioned toward high-volume catalogs and automated campaign construction/optimization. Xneeti
• Teikametrics — another option if Amazon/Walmart and inventory-aware optimization are important. Its bidding approach has historically incorporated seasonality and day-of-week behavior rather than simply reacting to recent CPC/conversion data. Teikametrics

The distinction I'd pay attention to

For 5,000–50,000+ SKUs, I wouldn't choose based on "does it automate bids?" Nearly all of these do.

I'd ask whether the system can do something like:

SKU → margin → inventory → conversion probability → keyword/placement → bid → budget

rather than:

keyword → ACoS → bid

That distinction becomes huge at catalog scale. For example, a $40 CPC might be perfectly reasonable for a high-margin SKU with 90 days of inventory, but terrible for a low-margin SKU that's about to stock out.

Pacvue and Feedvisor are particularly interesting if that's the problem you're trying to solve. Pacvue explicitly incorporates inventory/Buy Box/pricing signals into advertising actions, while Feedvisor is building its platform around connecting advertising, pricing, inventory, competition and profitability. Pacvue Feedvisor

If you tell me roughly how many SKUs, monthly ad spend, Amazon vs. Google Shopping vs. Walmart, and whether you're optimizing to ROAS/ACOS or actual contribution margin, I can narrow this down to the 2–3 platforms I'd seriously consider.

If your problem is something like "we have 10k–100k SKUs and need autonomous bidding based on contribution margin, inventory, price, velocity, and LTV", I wouldn't necessarily buy one of these platforms without testing how its optimization model handles the long tail.

I can also break down Pacvue vs. Teikametrics vs. Skai vs. building your own bidding engine, including approximate pricing, APIs, scale limits, and which one makes sense for 10K/50K/100K+ SKUs.

Yes. If you’re talking about Amazon/Walmart-style ecommerce advertising with thousands of SKUs, there are several platforms built specifically to automate bids at that scale.

Strong options

• pacvue.com — Probably the strongest fit if you're talking enterprise-scale catalogs, multiple marketplaces, and lots of campaigns. It uses ML-driven bid optimization, budget pacing, product-level orchestration, and automated actions based on inventory, Buy Box status, profitability, etc. Pacvue says it supports 100+ retail media networks. Pacvue Pacvue
• perpetua.io — Stronger if you primarily need Amazon/Walmart PPC automation. It automatically adjusts bids toward ROAS/ACOS goals and can handle keyword/ASIN harvesting and campaign optimization. Perpetua Perpetua
• Quartile — Another enterprise-oriented option, particularly for high-spend Amazon/retail-media accounts. It's generally positioned toward brands/agencies that want aggressive algorithmic optimization.
• Teikametrics — Worth looking at if you're focused on Amazon + Walmart and want bid optimization tied more closely to profitability/business metrics.

For thousands of SKUs specifically

The important distinction is that you don't really want a tool that simply says:

"Increase every bid 10%."

You want something that can operate at the SKU × campaign × keyword/target × placement level and continuously make decisions based on:

• Conversion rate
• CPC
• ROAS / ACOS
• Contribution margin
• Inventory levels
• Buy Box status
• Sales velocity
• Search volume
• Dayparting
• Budget/pacing
• New vs. established products
• Different targets for different SKU economics

Pacvue is particularly interesting for this use case because its current platform explicitly describes product-level orchestration and automated bid/budget decisions based on product profitability, availability, and other commerce signals. Pacvue

If you're asking because you have an account with, say, 5,000–100,000 SKUs and want to automate the actual bidding logic, I can also break down Pacvue vs. Perpetua vs. Quartile vs. building your own bid engine—including what I'd use at 10K, 50K, and 100K+ SKUs.

Yes. If you have thousands of SKUs, you’ll want an enterprise-grade retail media platform rather than a simple PPC rules tool.

Strong options

For thousands of SKUs specifically, I'd look hardest at Pacvue. It can automate bids and budgets while incorporating signals that a basic bid optimizer doesn't have—inventory, Buy Box status, pricing, promotions, profitability, etc. It says it supports advertising across 100+ retailers and applies AI bidding/rules-based automation at scale. pacvue.com

Perpetua is particularly compelling if your business is predominantly Amazon. Its bidding engine adjusts bids toward target ACOS and can automate keyword harvesting and campaign optimization. perpetua.io

The important distinction

If you're managing, say, 5,000–50,000 SKUs, I wouldn't evaluate these just on "does it automatically change bids?"

I'd evaluate whether the system can do:

• SKU/ASIN-level bid optimization
• Different targets by margin, category, SKU, or lifecycle
• Automated budget allocation
• Inventory/OOS-aware bidding
• Buy Box-aware bidding
• Search-term harvesting/negation
• Dayparting
• Placement optimization
• Portfolio-level ROAS/ACOS targets
• Automatic campaign creation for new SKUs
• Handling sparse-data / low-volume SKUs without making crazy bid changes
• API/data warehouse access
• Bulk operations across tens of thousands of campaigns/targets

That's where Pacvue/Skai/Perpetua start to separate themselves from lighter Amazon PPC tools. Pacvue, for example, explicitly supports automated actions based on inventory, Buy Box, pricing and profitability signals. pacvue.com

If you tell me which channels you're advertising on (Amazon, Walmart, Google Shopping, Meta, etc.), approximate SKU count, monthly ad spend, and whether you optimize to ROAS, ACOS, contribution margin, or profit, I can narrow this down to the 2–3 tools I'd actually shortlist for your setup.

Yes. If you’re talking about Amazon/Walmart/retail-media accounts with thousands—or tens of thousands—of SKUs, there are several serious bid-automation platforms.

The ones I'd look at

• pacvue.com — Probably my first choice for a very large catalog. It combines AI bid optimization with rules, budget pacing, dayparting, inventory/Buy Box signals, and ASIN-level profitability data. It explicitly targets enterprise brands and agencies managing complex Amazon businesses. Pacvue Pacvue
• perpetua.io — Strong Amazon-focused option. It automatically adjusts keyword bids toward Target ACoS and supports automated campaign/keyword management. It also supports Walmart and other retail media channels. Perpetua Perpetua
• skai.io — More of an enterprise cross-channel platform. It has algorithmic bidding, portfolio-level optimization, custom algorithms, automated actions, and bulk management of thousands of entities. Particularly interesting if you're managing Amazon + Walmart + Google/Microsoft + other channels centrally. Skai Skai

For thousands of SKUs, the important distinction

You don't really want a tool that simply says:

"SKU A had a bad ROAS → lower bid 10%."

At large scale, I'd want the system to optimize across SKU × keyword/target × placement × time × inventory × margin, ideally with different goals by product/category.

For example:

High-margin SKU
→ tolerate higher ACoS
→ bid aggressively on high-value terms

Low-margin SKU
→ enforce contribution-margin/ROAS ceiling
→ reduce bids automatically

Low inventory SKU
→ automatically suppress/decrease advertising

High inventory SKU
→ increase bids/budget when marginal ROAS supports it

Thousands of SKUs
→ portfolio-level optimization rather than manually configuring thousands of campaigns.

Pacvue is particularly interesting here because its current product combines bid optimization with inventory, pricing, Buy Box and profitability signals, rather than treating advertising data in isolation. Pacvue

If you tell me which marketplace(s) you're on (Amazon, Walmart, Google Shopping, etc.), roughly how many SKUs, monthly ad spend, and whether your optimization goal is ROAS, ACoS, profit/contribution margin, or revenue, I can narrow this down to the 2–3 tools I'd seriously consider and explain how I'd architect the bidding system.

Yes. If you mean automated bidding across thousands of SKUs/ASINs, there are several enterprise tools built specifically for this.

Strong options

• pacvue.com — Probably the first one I'd evaluate for a very large catalog. It supports AI/rule-based bid optimization, budget pacing, inventory/Buy Box/pricing signals, and automation across 100+ retailers. Its Amazon product specifically supports automated bid optimization at the ASIN/campaign level. Pacvue Pacvue
• skai.io — Very strong enterprise option, particularly if you're managing Amazon + Walmart + Target + Instacart and other retail media simultaneously. It supports portfolio-level ROAS goals, automated bids/budgets, custom algorithms, automated rules, and product-level data. Skai Skai
• quartile.com — Another platform worth evaluating for Amazon/Walmart-style marketplace advertising, especially if you want AI-driven campaign and bid management rather than building the optimization layer yourself.

The important distinction

With thousands of SKUs, I'd avoid looking for merely a "bid management tool." You want something that can optimize at the product/ASIN × keyword × placement × campaign level while incorporating things like:

• Target ROAS / ACOS / TACOS
• Contribution margin, not just revenue
• Inventory and days of supply
• Buy Box status
• Product conversion rate
• Search-term performance
• Organic rank
• Seasonality
• Minimum/maximum bid constraints
• Budget allocation across thousands of products
• Different targets by SKU/category/lifecycle stage

For example, Pacvue explicitly incorporates inventory, Buy Box, pricing and profitability signals into media optimization, which becomes particularly valuable when you're managing a huge catalog. Pacvue

If you're talking about Amazon specifically, I can also compare Pacvue vs. Quartile vs. Perpetua vs. Skai for a catalog of, say, 10k–100k SKUs, including which one is best if your goal is profit maximization rather than simply ACOS.

Yes. If you're talking about ecommerce PPC/retail-media bid automation at thousands-of-SKU scale, there are several serious platforms built for this.

Strong options

• Pacvue — Probably the first one I'd evaluate for a large enterprise catalog. It does ML-driven bid optimization, budget allocation, dayparting, product-level automation, and can incorporate inventory, Buy Box, pricing, and profitability signals. It supports Amazon, Walmart, and 100+ retail media networks. Pacvue Pacvue

pacvue.com

• Skai — Very enterprise-oriented. Its bidding can optimize at granular levels and it has automated actions plus ML-based bid-to-ROI optimization. It has documented use cases involving large, multi-marketplace Amazon programs. Skai

skai.io

• Marin Software — Particularly interesting if the problem is Google Shopping/SKU-level bidding. Marin has specifically documented bidding down to the SKU level rather than applying a blended bid to groups of products. It also supports Amazon and automated budget allocation. Marin Software Marin Software

marinsoftware.com

• Helium 10 Ads — More Amazon/Walmart-focused, with automated campaign management and bid optimization. It is powered by Pacvue technology. Helium 10

helium10.com

The important distinction

For 10,000+ SKUs, I wouldn't choose a tool merely because it says "AI bidding." The interesting question is whether it can make decisions at something like:

SKU/ASIN × keyword × placement × marketplace × time × inventory × margin

rather than simply:

campaign → target ROAS → adjust bids

Pacvue is particularly interesting here because it explicitly supports product-level orchestration and can use commerce signals such as inventory, Buy Box status, and margin alongside advertising performance. Pacvue Pacvue

If you tell me which channel you're trying to automate (Amazon, Google Shopping, Walmart, Meta, or all of them), approximate SKU count, and whether you optimize for ROAS, contribution margin, or revenue, I can narrow this down to the 2–3 tools that are actually appropriate for your scale.

Yes. If you mean automating bids across thousands of individual SKUs/products, there are several options—and the right one depends heavily on whether you're talking about Google Shopping/PMax, Amazon, or multiple retail ad channels.

If it's Google Shopping / Performance Max

The first thing I'd look at is Google's native Smart Bidding. It is specifically designed to operate at auction level rather than requiring you to manually set bids for every SKU. Target ROAS, for example, uses conversion-value predictions to adjust bids dynamically. support.google.com

For a huge catalog, you generally don't want a bid-management system that literally changes 10,000 SKU bids every day. You want a system that:

• ingests SKU/product-level revenue, margin, inventory, and conversion data
• segments products intelligently
• assigns different ROAS/CPA targets by product/category
• reallocates budget toward profitable products
• accounts for seasonality and inventory
• handles low-volume SKUs without overreacting to noisy data
• feeds changes into Google/Amazon automatically

Google also supports portfolio and cross-account bidding, which can aggregate learning across campaigns/accounts. support.google.com

Enterprise third-party platforms

For thousands → hundreds of thousands of SKUs, I'd investigate platforms such as:

• Skai — enterprise-level optimization across Google, Amazon and other retail media.
• Pacvue — particularly strong if Amazon + Walmart + retail media are involved.
• Teikametrics — ecommerce-focused automated advertising/bidding.
• Quartile — automated PPC optimization, especially for large Amazon/Google portfolios.
• Perpetua — automated ecommerce advertising, with strong Amazon/retail-media orientation.
• Feedvisor — particularly relevant for Amazon/marketplace sellers.

The important distinction is that these aren't all doing the same thing. Some are primarily retail-media bid optimization, while others add catalog/feed management, profitability modeling, budget allocation, reporting, and marketplace automation.

One important caveat

If your problem is:

"We have 50,000 SKUs and need to determine the right bid/target for each SKU based on margin, conversion rate, inventory, price, and competitive pressure."

that's a more interesting problem than ordinary Google Smart Bidding.

In that case, I'd look for a platform that can optimize toward profit/contribution margin rather than just ROAS. For example, a $100 product with $10 profit and a $100 product with $60 profit shouldn't necessarily have the same advertising target.

If you tell me (1) Google, Amazon, Walmart, or multiple channels, (2) roughly how many SKUs, and (3) whether your goal is ROAS, profit, or revenue, I can narrow this down to the 3–5 tools I'd seriously evaluate and compare them on SKU scale, automation, pricing, and API/data capabilities.

Yes. If you mean automated PPC/retail-media bid management across thousands of SKUs/ASINs, there are several serious enterprise tools.

The ones I'd look at

Pacvue is probably the first one I'd investigate if you literally have thousands of SKUs. Its current platform explicitly supports product-level orchestration, ML bid optimization, budget reallocation, and rules that can react to inventory, Buy Box status, pricing, and profitability. It also says it can standardize automation across 100+ retail media networks. pacvue.com

There's a particularly relevant Pacvue case study involving a brand managing thousands of SKUs across Amazon, Walmart, and other retailers, which is almost exactly the scenario you're describing. pacvue.com

Skai is another strong enterprise option. It uses portfolio-level ML bidding and can optimize bids/budgets across many retailers; it also has automated actions and dayparting. skai.io

Quartile is worth considering if you want more of a software + managed optimization model. It reports managing $2B+ in annual retail ad spend and 5,300+ customers, with granular product-level automation. www.quartile.com

But there's an important distinction

If you have, say, 20,000 SKUs, you don't necessarily want a tool that simply changes 20,000 individual keyword bids.

The better systems optimize at multiple levels:

SKU/ASIN → campaign → portfolio → category → account

and incorporate things like:

• Contribution margin / profitability
• Conversion rate
• ACOS / ROAS targets
• Inventory and days of supply
• Buy Box status
• Price competitiveness
• Organic rank
• Promotions
• Search-term performance
• Seasonality
• Budget pacing
• Incrementality

That's where Pacvue/Skai/Quartile become much more interesting than basic Amazon PPC bid tools. Pacvue, for example, specifically describes automatically pausing spend on OOS, low-margin, or Buy Box-lost ASINs and reallocating spend toward products that can win. pacvue.com

If you tell me (1) Amazon only vs Amazon + Walmart/Google, (2) roughly how many SKUs, and (3) monthly ad spend, I can narrow this down to the 2–3 tools I'd actually shortlist, including approximate pricing and which one is likely to handle your scale best.

Yes. If you're talking about Amazon/Walmart-style retail media with thousands of SKUs/ASINs, there are several platforms specifically built to automate bidding at that scale.

The ones I'd look at

Pacvue is probably the first one I'd investigate for your use case. It explicitly supports SKU-level optimization, automated bids/budgets, pacing, and AI-driven bidding, and currently positions itself across 100+ retailers. pacvue.compacvue.com

Feedvisor is particularly interesting if you're primarily on Amazon. Its current Agentis platform advertises autonomous bid optimization, budget reallocation to high-opportunity ASINs, dayparting, keyword discovery, and optimization informed by inventory, pricing, margin, and competition. Its Agentis Studio currently lists a 50,000-SKU cap per two-storefront package, with larger configurations available through the account team. feedvisor.compacvue.com

Quartile is another serious option for high-volume catalogs. It says it manages over $2B in annual retail ad spend across 5,300+ customers and focuses on automating advertising across major marketplaces and channels. www.quartile.com

The important distinction

If you have 5,000–50,000+ SKUs, I wouldn't look for merely a "PPC bid automation tool." I'd look for a system that can:

• Make ASIN/SKU-level bid decisions
• Optimize thousands of targets simultaneously
• Reallocate budgets automatically
• Account for margin, not just ACOS/ROAS
• Incorporate inventory and Buy Box status
• Handle campaign/keyword creation and restructuring
• Adjust bids intraday
• Handle seasonality/promotions
• Automatically pause or reduce spend on poor/ineligible SKUs
• Work across multiple marketplaces if needed
• Give you guardrails rather than requiring someone to inspect every campaign

Pacvue, for example, explicitly describes automation across bids, budgets, pacing and dayparting, while Feedvisor connects advertising decisions to pricing, inventory and margin. feedvisor.compacvue.com

If you tell me roughly how many SKUs you have (e.g. 5k, 50k, 500k), which marketplaces (Amazon only vs Amazon + Walmart + others), and whether you're optimizing for ROAS, TACoS, contribution margin, or revenue, I can narrow this down to the 2–3 platforms I'd seriously consider.

Yes. If you mean advertising bid automation across an ecommerce catalog with thousands of SKUs/ASINs, there are several serious platforms built for this.

The ones I'd look at

For thousands of SKUs, I'd shortlist Pacvue and Teikametrics first.

Teikametrics is especially interesting if your problem is essentially “calculate and continuously update the optimal bid for tens/hundreds of thousands of targets.” Its bidder uses product/advertising data, conversion-rate and AOV forecasts, seasonality, inventory, price, match type, etc., and automatically changes bids. It supports Amazon and Walmart. help.teikametrics.com

Pacvue is probably the stronger choice if you're dealing with a large enterprise catalog + multiple retailers + complex business rules. Its current platform can automate bids, budgets and pacing and incorporate signals such as inventory, Buy Box, pricing and profitability. pacvue.com

Skai is another enterprise-grade option; for Walmart specifically, it advertises algorithmic bid/budget optimization and bulk operations across thousands of campaign entities. skai.io

One important distinction

If by "bid automation" you mean Google Shopping / Performance Max, rather than Amazon/Walmart marketplace ads, that's a somewhat different category. Google itself has automated bidding, but there are platforms that sit above it and optimize SKU-level portfolio economics using margin, inventory, conversion rate, LTV, etc.

If you tell me which channels you're running (Amazon, Walmart, Google Shopping/PMax, Meta, eBay, etc.) + roughly how many SKUs and monthly ad spend, I can narrow this down to the 3–5 tools actually capable of handling your scale, including pricing and how their bidding algorithms differ.

Yes. If you're talking about automatically adjusting bids across thousands of SKUs/products, there are several mature platforms built for exactly that.

Strong options

The important distinction

For a 5,000–100,000+ SKU ecommerce catalog, you generally don't want a system that simply says:

"Increase bids on keywords with good ROAS."

You want something closer to:

SKU → product/campaign → search term → placement → bid → budget → margin/inventory constraint

and ideally the system should automatically determine which products deserve more or less spend.

For example:

• SKU A: 45% contribution margin + high inventory → increase bids
• SKU B: 8% margin → reduce bids despite good ROAS
• SKU C: low inventory → suppress advertising
• SKU D: high conversion rate + lost impression share → increase bid
• SKU E: thousands of impressions but no sales → cut bid
• SKU F: seasonal demand spike → automatically become more aggressive

That's where platforms like Feedvisor/Agentis and Pacvue become particularly interesting, because they can incorporate more than just ad performance. Feedvisor, for example, explicitly connects advertising with pricing, inventory, competition and margin. feedvisor.com

If you tell me where you're advertising (Amazon, Google Shopping/PMax, Walmart, Meta, etc.), roughly how many SKUs, and monthly ad spend, I can narrow this down to the 2–3 tools I'd actually shortlist and explain what each would automate.

Yes. If you're talking about Amazon/Walmart/retail-media accounts with thousands or tens of thousands of SKUs, there are several enterprise-grade tools built specifically to automate bidding at that scale.

Strong options

• Pacvue — probably the first one I'd evaluate for very large catalogs. It supports SKU/product-level orchestration, ML-driven bidding, budget pacing, automated rules, inventory/Buy Box signals, and cross-retailer execution. It explicitly positions itself for 100+ retail media networks. pacvue.com
• Perpetua — strong marketplace advertising automation, particularly Amazon and Walmart, with automated optimization and retail-media reporting. perpetua.io
• Intentwise — worth considering if you're heavily Amazon-focused and want sophisticated Amazon Ads + AMC/data workflows alongside optimization. The enterprise stack is often paired with a bidding/activation platform. clearsightnow.com

For thousands of SKUs, the important distinction is that you don't really want a tool that merely changes bids according to simple rules. You want something that can:

1. Optimize at SKU/ASIN → campaign → portfolio levels.
2. Incorporate conversion rate, CPC, CVR, ROAS/ACOS, margin, inventory, Buy Box, price and promotional signals.
3. Handle sparse data without wildly changing bids on low-volume SKUs.
4. Reallocate budget, not just bids.
5. Automate campaign/keyword/target creation and cleanup.
6. Apply different bidding strategies by product economics.
7. Operate across thousands of entities without someone maintaining thousands of rules.

Pacvue is particularly interesting here because its current platform explicitly describes product-level orchestration, including aligning bids and budgets around the same ASIN/product family and using profitability, availability and shelf conditions in optimization. pacvue.com

If you tell me which marketplace(s) you're running (Amazon, Walmart, Google Shopping, etc.), roughly how many SKUs, monthly ad spend, and whether you're optimizing to ROAS or contribution margin, I can narrow this down to the 2–3 tools I'd seriously evaluate.

Yes. For high-volume ecommerce accounts with thousands of SKUs, there are several bid automation platforms built specifically to handle SKU-level optimization, especially for Amazon PPC, Walmart, Google Shopping, and retail media. The right choice depends on where you advertise.

Some commonly used options:

For Amazon specifically, tools like SellerApp, SellerMate, and BidX also focus on automated bid rules, budget management, and scaling across many campaigns. www.sellermate.ai

For thousands of SKUs, the important capabilities are usually:

• SKU-level profitability optimization (not just ROAS)
  • margin
  • inventory position
  • conversion rate
  • contribution profit
  • TACOS/ACOS targets

• Portfolio bidding
  • group similar products together
  • shift spend toward winners
  • reduce bids on products with weak economics

• Automated campaign operations
  • keyword harvesting
  • negative keyword management
  • search term mining
  • budget reallocation
  • bid adjustments by placement/device/time

• Inventory-aware bidding
  • reduce spend when stock is low
  • push products with excess inventory

For example, FiveX’s AdMAX focuses on connecting advertising decisions with SKU margin, inventory, conversion, and TACOS rather than optimizing only ad metrics. fivex.com

A rough rule of thumb:

• <500 SKUs: SellerApp, SellerMate, Teikametrics, Quartile may be enough.
• 1,000–50,000 SKUs: Pacvue, Perpetua, Skai, CommerceIQ, FiveX-type platforms are more common.
• Multi-channel catalog (Amazon + Google + Walmart + Meta): look for a retail media platform rather than an Amazon-only PPC tool.

If you tell me which channels you mean (Amazon PPC, Google Shopping, Walmart Connect, Meta, etc.) and approximate SKU count/ad spend, I can narrow it down to the tools that actually fit.

Yes. If you're talking about paid-search / Shopping bid automation across thousands of SKUs, there are several tools built specifically for this. The right one depends heavily on whether you're primarily on Google Shopping/PMax, Amazon, or both.

For Google Shopping / PMax

• GROW — particularly interesting for very large catalogs. It advertises automated per-product bidding, including margin/profit-aware bidding, and specifically positions itself for 1,000–10,000+ SKU catalogs. grow.online
• Ryze AI — automates bids, budgets, and product prioritization across large Shopping catalogs. www.get-ryze.ai
• Optmyzr — better if you want a sophisticated rules/automation layer with more human control rather than a pure black box.
• smec — worth looking at for large catalogs where you have detailed margin/product data; it is specifically mentioned as an option for large catalogs. www.get-ryze.ai

For Amazon

For thousands of ASINs, I'd shortlist:

• Pacvue — enterprise-grade, particularly if you're managing Amazon plus other retail media.
• Perpetua — strong automated bidding and goal-based optimization.
• Quartile — heavily focused on algorithmic optimization.
• Teikametrics — Amazon/Walmart-oriented and combines advertising with profitability data.
• Helium 10 Adtomic — more attractive if you're already using Helium 10.

Recent comparisons generally put Pacvue/Perpetua/Quartile toward the enterprise end of Amazon PPC automation. www.sellerstacked.co

The important distinction

For 5,000–100,000+ SKUs, I wouldn't look for a tool that simply says "AI bid optimization." You want something that can do SKU-level portfolio management:

Product feed → SKU economics → segmentation → bid → budget → search-term/targeting decisions → continuous feedback

For example, you might want the system to automatically recognize:

That's much more powerful than simply saying "keep ROAS at 500%." At very large catalogs, margin, inventory, conversion volume, and product-level economics become important inputs to the bidding system. www.osmos.ai

Also, feed automation and bid automation are separate problems. For example, GoDataFeed says it processes 50M SKUs daily and can apply catalog-level rules and bidding segments, but it's primarily a feed-management layer rather than a standalone bid optimizer. www.godatafeed.com

If you tell me (1) Amazon vs Google vs both, (2) roughly how many SKUs, and (3) monthly ad spend, I can narrow this down to the 3–5 tools I'd actually consider and compare them on automation depth, SKU scalability, pricing, and how much control you retain.

Yes. If you mean automated bid optimization across thousands of SKUs/ASINs, there are several serious platforms built for exactly that—not just simple “rules” tools.

The ones I'd look at

Pacvue is probably the first one I'd investigate if you're talking about, say, 5,000–100,000+ SKUs/ASINs. It can automate bids and budgets while incorporating things like inventory, Buy Box status, pricing, margin, and performance signals. It specifically supports Amazon and Walmart, among other retail networks. pacvue.com

Skai is particularly interesting if you're running advertising across Amazon + Google + Walmart + other channels. It has algorithmic bid optimization and clustering designed for large campaign structures; one published Amazon case involved scaling across multiple marketplaces and automating keyword bids toward CPA/ROI targets. skai.io

Perpetua is worth considering if the problem is primarily Amazon/Walmart marketplace advertising and you want something somewhat more ecommerce-native. perpetua.io

The important distinction

For thousands of SKUs, I wouldn't choose based simply on "does it automate bids?"

I'd look for:

• SKU/ASIN-level profitability, not just ROAS/ACOS
• Bid optimization with enough data aggregation to avoid making bad decisions on low-volume SKUs
• Portfolio-level optimization rather than treating every keyword independently
• Inventory-aware bidding
• Buy Box awareness
• Margin/contribution-profit targets
• Budget pacing and automatic reallocation
• Dayparting
• Search-term harvesting/negatives
• Ability to handle huge campaign/keyword counts through APIs
• Custom rules/guardrails around promotions and new products
• Bulk campaign creation and restructuring
• Cross-marketplace optimization if you're on Amazon + Walmart + Google Shopping

Pacvue is particularly strong on the commerce-data → advertising-action connection. For example, it can automatically reduce/pause spend on out-of-stock or low-margin ASINs and adjust bids based on real-time signals. pacvue.compacvue.com

If you tell me what ecommerce platform(s) you're advertising on (Amazon, Google Shopping, Walmart, Shopify, etc.), roughly how many SKUs, monthly ad spend, and whether your goal is ROAS, profit, or revenue, I can narrow this down to the 2–3 tools I'd actually shortlist and explain how I'd architect the automation.

Yes. If you mean automatically managing bids across thousands of SKUs/ASINs, there are several platforms built for exactly that.

Strong options

For thousands of SKUs, I'd look particularly hard at Pacvue

The important distinction is that you're probably not looking for a simple "Amazon PPC automation" tool. At thousands of SKUs, you want an optimization layer that can make decisions at the ASIN × keyword × campaign level, while incorporating things like:

• Target ACOS / ROAS
• Conversion rate and sales velocity
• Margins / contribution profit
• Inventory and out-of-stock status
• Buy Box ownership
• Organic ranking
• Search-term performance
• Dayparting
• Budget pacing
• Seasonality/promotions
• Cross-SKU cannibalization
• Marketplace differences

Pacvue specifically supports retail-aware bidding, including inventory, pricing and Buy Box signals, and its automation can adjust bids/budgets and pause or scale campaigns based on those signals. pacvue.com

Perpetua is also compelling if your use case is primarily Amazon Sponsored Products/Brands/Display. It has automated bidding and bulk management, including bulk ASIN, target, budget and ACOS changes. help.perpetua.io

If you tell me your setup — e.g. Amazon only vs. Amazon + Walmart, roughly how many SKUs, monthly ad spend, and whether you optimize to ACOS, ROAS, or actual contribution margin — I can narrow this down to 2–3 tools and explain which one I'd pick.

Yes. If you mean automated bidding across thousands of SKUs/ASINs, there are several enterprise-grade tools built specifically for this.

The ones I'd look at

Pacvue is probably the closest match to what you're describing. It specifically supports product-level orchestration across campaigns, automatically optimizes bids toward ROAS/ACOS targets, and can incorporate product availability, Buy Box, profitability, and other commerce signals. It says it supports 100+ retailers. pacvue.com

Pacvue

Skai is another strong choice if your account spans Amazon plus Google/Microsoft and you want more sophisticated portfolio-level control. It lets you group campaigns around common ROAS/budget objectives and have its algorithms adjust bids and budgets automatically. skai.io

Skai

Quartile is worth investigating if the center of gravity is Amazon. It explicitly positions itself as an AI/ML ecommerce PPC optimization platform and says thousands of sellers use it across Amazon, Google Shopping, Walmart, Instacart and other channels. buywithprime.amazon.com

Quartile

One important distinction

For 10,000+ SKUs, I wouldn't just look for a "bid automation" tool. I'd look for one that can optimize at the product/ASIN level, because otherwise you can end up optimizing campaigns while missing the economics of individual products.

Ideally the system should be able to do something like:

SKU → margin → inventory → conversion rate → TACoS/ROAS target → bid → budget → placement

and automatically change those decisions as the underlying data changes.

If you tell me which marketplaces you're running (Amazon, Walmart, Google Shopping, etc.), roughly how many SKUs, and whether your goal is ROAS, TACoS, profit, or revenue, I can narrow this down to the 2–3 tools I'd actually shortlist for your situation.