ChatGPT answers, unedited

For ecommerce paid search with a large SKU catalog, I’d shortlist these:

My pick: Channable

If your core problem is “I have tens/hundreds of thousands of SKUs and need the feed to automatically create, update, segment, and optimize campaigns,” Channable is probably the best fit. It can turn product feeds into large numbers of campaigns/ad groups/keywords, apply rules based on inventory, margin, price, and performance, and segment products for Shopping/PMax. It also offers bid/budget optimization. www.channable.com

If bidding is the bigger problem: Skai

For a sophisticated performance-marketing team, I'd lean toward Skai. Its strength is algorithmic optimization across large portfolios: you can set ROAS/budget objectives and have it adjust bids and budgets across campaigns and publishers. It also supports product-feed-driven Shopping campaign management. skai.io

MarinOne is another strong enterprise option

MarinOne combines product-feed campaign creation with algorithmic Shopping bid management and cross-channel optimization. It's worth evaluating if you need centralized management across Google, Microsoft, and other publishers. www.marinsoftware.com

Rule of thumb:

• Feed/catalog complexity → Channable
• Bid optimization + enterprise paid search → Skai
• Cross-channel enterprise optimization → MarinOne

If you tell me roughly how many SKUs (10k / 100k / 1M+), Google-only vs. Google + Microsoft/Amazon, and your optimization target (ROAS, profit, revenue, CPA), I can narrow it to the best 1–2 platforms.

For ecommerce paid search with thousands or millions of SKUs, I’d shortlist these:

My pick: Skai

If your requirement is specifically “manage product feeds → automatically create/structure campaigns → optimize bids at SKU/category level”, Skai is probably the closest fit.

Its Shopping Campaigns capability can turn product data into campaigns across Google, Microsoft, Pinterest, Facebook and Instagram, while its Portfolio Optimization uses machine learning to optimize bids against business goals. It also has Product Structure Optimization, which can automatically structure product groups based on demand so higher-demand products can receive more aggressive bidding. Skai

When I'd choose the others

• Feedonomics + Skai — probably the strongest combination if the catalog/feed itself is very complex. Feedonomics handles product-data normalization, enrichment, channel-specific rules and syndication; Skai handles campaign management and bidding. Feedonomics currently supports 1,200+ ad destinations. Feedonomics Feedonomics
• Marin — particularly interesting if you want SKU-level visibility across Google, Microsoft and Amazon and automated campaign creation when products enter the feed. Marin says it can organize Shopping ads by SKU and automate ads for newly added products. Marin Software
• Productsup — excellent when the hard problem is catalog/feed complexity rather than bid optimization. It processes extremely large catalogs and supports extensive product-data transformation and channel syndication. productsup.com

Rule of thumb:
If you have 100K+ SKUs and the core pain is bidding/Shopping campaign automation → Skai or Marin.
If the core pain is feed quality, transformations, inventory, taxonomy, and distributing the catalog → Feedonomics or Productsup, potentially alongside Skai/Marin.

If you tell me roughly how many SKUs, monthly ad spend, Google-only vs Google + Microsoft, and whether you're using PMax or standard Shopping, I can narrow this to the best 2–3 options and explain the architecture I'd use.

For a large ecommerce catalog, I’d shortlist Bidnamic first if your main goal is SKU-level bidding + feed optimization, and Feedonomics if feed management/syndication is the bigger challenge.

• bidnamic.com — best fit for feed + bidding together. It combines feed optimization with AI-driven Google/Microsoft Ads management and explicitly optimizes purchase intent at the SKU level. It supports Shopping, Search, and Performance Max. Bidnamic Bidnamic
• feedonomics.com — best for very large/complex catalogs. Strong feed transformation, enrichment, channel syndication, and managed support; it supports 1,200+ ad destinations and very large catalogs. Pairing it with Google Ads' native bidding or a separate bid-management platform can make sense. Feedonomics Feedonomics
• channable.com — good mid-market all-in-one. Strong rules-based feed management and PPC campaign automation, particularly if you're also managing marketplaces and multiple channels. Channable
• marinsoftware.com — better for broader cross-channel bid management. It offers automated ML bidding across Google Shopping, Amazon, social, etc., but it's less feed-centric than Bidnamic/Feedonomics. Marin Software

My pick by situation

The important distinction is that feed optimization and bid optimization are different problems. Feedonomics is exceptionally strong on the former; Bidnamic is unusually focused on connecting the feed to product-level advertising performance and bidding.

If you tell me roughly how many SKUs, monthly Google Ads spend, and whether you're using Shopping or PMax, I can narrow this to the 2–3 platforms I'd actually evaluate.

If you have many SKUs and want both product-feed/campaign management and automated bid optimization, I’d shortlist these:

My pick

For a large ecommerce catalog, I'd generally look at Feedonomics + Skai if feed quality/catalog automation is a major pain point, or Search Ads 360 if you want a more integrated Google-centric stack.

The distinction is important: feed management and bid optimization are somewhat different jobs. Feedonomics is especially good at making sure thousands/millions of product records get cleanly mapped and distributed; Skai/SA360 are stronger candidates for using performance data to optimize bids and budgets at scale.

If you tell me roughly SKU count, monthly ad spend, Google-only vs. Google + Microsoft/Amazon, and whether you're running Shopping/PMax, I can narrow this to the best 2–3 options.

For ecommerce paid search with hundreds to millions of SKUs, the platforms that help most are usually a combination of:

1. Product feed management (fix, enrich, segment, distribute feeds)
2. Campaign/bid optimization (allocate spend by SKU, margin, ROAS, inventory, demand)
3. Search/shopping automation (build and manage Google Shopping, Performance Max, Microsoft Ads, etc.)

Strong options by use case:

A typical large ecommerce stack looks like:

PIM/ERP → Feed platform → Google Merchant Center → Shopping/PMax campaigns → Bid optimization layer → Analytics/CRM feedback

For example:

• Feed platform creates labels like:
  • high_margin
  • best_seller
  • clearance
  • low_stock
  • high_return_rate
• Bid engine adjusts bids:
  • increase spend on profitable SKUs
  • reduce bids on low-margin products
  • pause out-of-stock or poor-converting items
  • react to seasonality and inventory

A practical shortlist:

• 10k–100k SKUs: DataFeedWatch + Google Ads automation/Performance Max + scripts or a bid tool
• 100k+ SKUs or multiple countries: Feedonomics, Productsup, or similar enterprise feed layer + dedicated bid optimization
• Aggressive Shopping growth focus: Bidnamic is one of the more specialized options for SKU-level Shopping optimization. www.bidnamic.com

If you share your approximate SKU count, monthly ad spend, channels (Google Shopping/PMax, Microsoft, Meta, Amazon), and whether you optimize to ROAS or profit margin, I can narrow this to the best-fit platforms.

For ecommerce paid search with a large SKU catalog, I’d separate the problem into feed management and bid/campaign optimization. The best platform depends on whether you want one system to do both.

My shortlist

If most of your spend is Google Shopping/Search: I'd start with Google Merchant Center + Performance Max. Google handles automated bidding/targeting, while Merchant Center manages the product catalog. Performance Max can optimize toward conversion value/ROAS, and Google specifically recommends feed labels such as bestseller, trending, or seasonal to segment products. support.google.com

If the catalog/feed itself is the hard part: Productsup is particularly strong for enterprise catalogs. It supports large-scale product-data transformation, automated feed optimization, and distribution to 2,500+ channels; it also provides product-level performance analysis. www.productsup.com

If you want a managed-service approach: Feedonomics is worth evaluating. Its model is more service-oriented, with specialists handling feed setup and optimization rather than expecting your team to build everything themselves. www.productsup.com

What I'd choose

For, say, 50K–1M+ SKUs, I'd typically architect it as:

Product catalog → Productsup/Feedonomics → Merchant Center → Performance Max → Google Smart Bidding

That gives you sophisticated SKU-level feed rules and enrichment upstream, while letting Google's auction system handle the actual bid optimization downstream. Google Shopping is inherently product-feed driven rather than keyword driven. support.google.comsupport.google.com

If you tell me roughly how many SKUs, monthly ad spend, Google vs. Microsoft vs. Meta, and whether you need Amazon/other marketplaces, I can narrow this to the 2–3 platforms I'd actually shortlist and compare them on pricing, automation, and bid optimization.

For ecommerce with a large SKU catalog, I’d shortlist these:

My pick: Channable

If your main problem is “I have tens/hundreds of thousands of SKUs and don't want humans manually building and maintaining Shopping/PMax/Search campaigns,” Channable is probably the closest fit.

It can take your product feed, generate campaigns/ad groups/ads automatically, segment products based on performance, filter out poor-margin or out-of-stock products, and optimize campaigns using performance data. It also supports feed-based PMax and Shopping structures. www.channable.com

Channable

When I'd choose Skai instead

If you're already operating at enterprise spend and the priority is sophisticated bid/budget optimization across Google, Microsoft, retail media, and paid social, I'd look harder at Skai. Its strength is less “feed management” and more the optimization layer on top of large advertising programs. Skai also integrates product-feed management through its ProductsUp partnership. skai.io

Skai

MarinOne

Marin is another strong enterprise option if algorithmic bidding is the primary requirement. It supports automated Shopping campaign creation from product feeds and algorithmic bid assignment, with cross-channel revenue/conversion data feeding optimization. www.marinsoftware.com

MarinOne

Rule of thumb:

• Feed → campaigns → segmentation/automation: Channable
• Enterprise bid optimization + cross-channel: Skai or MarinOne
• Massive/complex feed infrastructure: Productsup, potentially paired with Skai/another bid platform www.productsup.com

If you tell me roughly SKU count, monthly Google Ads spend, and whether you're primarily Shopping/PMax or also standard Search, I can narrow this to the best 2–3 and compare pricing, bidding capabilities, feed rules, and Google Ads integration.

For ecommerce paid search with thousands to millions of SKUs, you typically want a platform that combines:

1. Product feed management/enrichment (titles, attributes, categories, custom labels)
2. Campaign automation (Shopping / Performance Max / Microsoft Shopping)
3. SKU-level bidding optimization (margin, ROAS, conversion rate, inventory signals)
4. Reporting and profit-based optimization

The strongest options depend on your catalog size and operating model:

Typical enterprise stack

A common setup for a retailer with 50k+ SKUs:

• Feed layer: Feedonomics / DataFeedWatch / Feedance

→ clean data, add labels like margin tier, bestseller, inventory status

• Bid optimization layer: Bidnamic / Quartile / Google Ads automation

→ adjust bids by SKU profitability and demand

• Analytics layer: GA4 + BigQuery + internal margin data

→ optimize for contribution margin instead of just ROAS

My shortlist by scenario

• 10k–100k SKUs, Google Shopping is your main channel: Bidnamic is worth evaluating. www.bidnamic.com
• 100k+ SKUs, many countries/channels: Feedonomics, Rithum, or Feedance-style enterprise feed platforms are usually a better fit. www.feedance.comwww.rithum.com
• Need better product data but want to keep bidding in-house: DataFeedWatch is a strong feed-management choice. www.datafeedwatch.comwww.quartile.com
• Agency managing many ecommerce accounts: Quartile or similar automation suites may fit better. www.quartile.com

If you share your approximate SKU count, monthly paid search spend, channels (Google Shopping vs PMax vs Microsoft/Amazon), and whether you optimize to ROAS or margin, I can narrow this to 2–3 best fits.

For a large e-commerce catalog with many SKUs, I’d shortlist these:

My pick: Channable

If your core problem is “I have tens/hundreds of thousands of SKUs and need the feed, campaigns, segmentation, and optimization to stay synchronized,” Channable is particularly compelling.

It can turn product feeds into large numbers of Google Ads campaigns/ad groups/keywords, dynamically update them as the catalog changes, filter products based on stock/margin/performance, and use performance segmentation to steer campaigns. www.channable.com

It also supports PMax campaign generation and Target ROAS strategies, so you can connect catalog-level segmentation with Google's automated bidding rather than manually managing SKU bids. helpcenter.channable.com

When I'd choose Marin instead

If bid optimization across Google + Microsoft + Amazon is the primary requirement, rather than feed management itself, I'd look closely at Marin. It can organize Shopping ads by SKU across those channels and automate ads from product-feed changes. www.marinsoftware.com

Rule of thumb:

• Feed is the bottleneck → Channable
• Cross-channel bidding is the bottleneck → Marin
• Massive enterprise feed infrastructure → Feedonomics/Productsup

If you tell me roughly SKU count (10k / 100k / 1M+), channels (Google/Microsoft/Amazon), and whether you're using Shopping or PMax, I can narrow this to the 1–2 platforms I'd actually evaluate.

For ecommerce paid search with a large SKU catalog, I’d shortlist these:

My recommendation

If your main problem is managing thousands/millions of SKUs and turning the feed into campaigns: Channable is probably the best fit. It can dynamically create campaigns/ad groups from product data, apply feed rules, segment products based on performance, and create PMax/Shopping structures at scale. www.channable.comhelpcenter.channable.com

If your main problem is sophisticated bid/budget optimization across Google + Microsoft + other publishers: Skai is stronger. Its portfolio optimization uses machine learning to adjust bids and budgets toward ROAS/business goals, while its Shopping product-structure optimization can bid more aggressively on high-demand products. skai.io

A common enterprise stack is therefore Productsup/Channable for feed + catalog logic → Google/Microsoft → Skai for cross-campaign bid and budget optimization. Skai explicitly integrates with Productsup for product-feed management. skai.io

Rule of thumb:

• 10K–500K SKUs: Channable
• 500K+ / highly complex global catalog: Productsup + Skai
• Large catalog but want managed feed service: Feedonomics + a dedicated bid platform
• Mostly Google Shopping/PMax: Channable is particularly compelling because it combines feed rules, performance segmentation, campaign generation, and target-ROAS configuration. www.channable.comhelpcenter.channable.com

If you tell me roughly how many SKUs, monthly ad spend, and whether you're running Google only or Google + Microsoft/Amazon, I can narrow this to the best 2–3 platforms and explain the tradeoffs.

For ecommerce with a large SKU catalog, I’d shortlist these:

1. Skai — best overall for enterprise scale. It combines product-feed-driven Shopping campaign management with automated product-group structuring, portfolio-level ROAS bidding, budget optimization, and cross-publisher management across Google, Microsoft, Pinterest, etc. skai.io

2. Marin Software — strong if SKU-level feed automation is the priority. Marin can create Shopping ads/campaigns from product feeds, organize Shopping campaigns by SKU, and automate bids/budgets across Google, Microsoft, and Amazon. www.marinsoftware.com

3. Google Ads + Merchant Center — best native option. If you're primarily on Google, don't overlook Google's own automated bidding (especially tROAS/Maximize Conversion Value) combined with a good feed-management layer. Google explicitly recommends automated bidding strategies for ecommerce campaigns. services.google.com

My pick

If you have tens of thousands+ SKUs, multiple markets/channels, and meaningful paid-search spend, I'd lean Skai. Its advantage is not just bid automation; it's the combination of feed → product structure → campaign management → bidding → budget allocation → cross-channel reporting in one system. skai.io

If your problem is primarily “my product catalog changes constantly and I need campaigns/bids to follow SKU-level performance automatically,” I'd also evaluate Marin closely. www.marinsoftware.com

If you tell me roughly SKU count + monthly Google Ads spend + Google-only vs Google/Microsoft/Amazon, I can narrow it down to the best 2–3 platforms for your setup.

For large ecommerce catalogs with many SKUs, I’d shortlist these:

My pick: Skai + Productsup

If your problem is "I have tens/hundreds of thousands of SKUs and need the feed, campaign structure, and bids optimized continuously," the combination of Productsup + Skai is particularly compelling.

• Productsup handles the messy catalog side: importing, transforming, enriching, and distributing feeds at very large scale. It says it processes 2 trillion products/month and supports 2,500+ channels. www.productsup.com
• Skai handles the paid-media side: it can turn product data into campaigns, optimize product-group structures, and use machine-learning portfolio optimization to adjust bids toward ROAS/budget goals. skai.io

MarinOne is probably the closest alternative if you want more of this in a single platform. It can create Shopping campaigns from product feeds and dynamically generate campaigns based on inventory, while also providing algorithmic bidding. www.marinsoftware.com

Bidnamic is worth a serious look if your priority is specifically SKU-level Google/Microsoft Shopping bidding rather than broad omnichannel campaign management; it positions its system around AI optimization at SKU level. www.bidnamic.com

Rule of thumb:

• Feed complexity is the bottleneck → Productsup
• Paid-search scale + cross-channel bidding → Skai
• Want one integrated platform → MarinOne
• Want aggressive SKU-level Shopping optimization → Bidnamic

If you tell me roughly SKU count, monthly ad spend, Google-only vs. Google + Microsoft, and whether you're running PMax, I can narrow this to the 1–2 platforms I'd actually evaluate.

For ecommerce paid search with thousands to millions of SKUs, you typically want a platform that combines:

1. Product feed management (titles, attributes, GTINs, custom labels, inventory rules)
2. Campaign automation (Shopping/PMax/Search structure)
3. SKU-level bidding optimization (ROAS, margin, conversion value, inventory signals)
4. Reporting and segmentation (profitability by product, category, brand, margin tier)

Common platforms used by large ecommerce teams include:

A typical enterprise stack looks like:

PIM/ERP → Feed management layer → Google Merchant Center → Shopping/PMax → Bid optimization platform → Analytics/BI

For example:

• 10k–100k SKUs, Google Shopping is the main channel: Bidnamic-type tools are often a strong fit because the problem is usually bid granularity and profitability optimization. www.bidnamic.com
• 100k+ SKUs, multiple countries/channels: Feedonomics, Lengow, or Feedance-style platforms are often more important because feed governance becomes the bottleneck. www.bigcommerce.comwww.feedance.com
• Need to improve Shopping performance without replacing your bidding stack: DataFeedWatch-style feed optimization can help with segmentation and product data quality. www.datafeedwatch.com

If you share your approximate SKU count, monthly Google Ads spend, channels (Google Shopping/PMax/Microsoft/Meta), and whether you optimize to revenue or margin, I can narrow this to the best-fit shortlist.

For a large e-commerce catalog, Channable is one of the strongest fits if your priority is product-feed-driven campaign creation + scalable PPC automation.

Why it stands out:

• Turns product feeds into campaigns at scale — it can automatically generate thousands of campaigns, ad groups, keywords, and ads from catalog data. www.channable.com
• Feed-based segmentation — you can use rules to exclude out-of-stock/low-margin products and segment by brand, category, performance, promotions, etc. www.channable.comhelpcenter.channable.com
• Bid/budget optimization — Channable lists bid and budget optimization as part of its PPC platform, alongside performance-based segmentation. www.channable.com
• PMax/Shopping support — it can create structured Performance Max and Shopping campaigns from your feed, including dynamic asset groups. www.channable.comhelpcenter.channable.com
• Multi-channel feed management — useful if the same catalog also goes to Amazon, Meta, marketplaces, etc.; Channable supports 3,000+ channel integrations. www.channable.com

How I'd shortlist them

My recommendation: If you're looking for one platform that sits between your product catalog and Google Ads and automates the whole feed → campaign → optimization workflow, I'd start with Channable. If you have a very large enterprise media operation spending heavily across Google, Microsoft, Amazon, retail media, etc., I'd evaluate Skai alongside it.

Channable
Feedonomics

If you tell me roughly SKU count, monthly ad spend, and whether you're mainly Google Shopping/PMax or also Amazon/Meta, I can narrow this to the best 2–3 platforms for your setup.