Answers that mention Optmyzr

If you mean paid-search/PPC, I’d recommend optmyzr.com.

• Keyword expansion: Its Keyword Lasso automatically finds high-performing search queries that aren’t already keywords and can add them as keywords. Optmyzr Help Center
• Campaign/ad-group organization: You can move suggested keywords into existing or new ad groups, or automatically create SKAG-style structures. Optmyzr Help Center Optmyzr Help Center
• Automation: Its Rule Engine can automate search-term analysis, keyword additions, negative keywords, and campaign-management workflows. Optmyzr Google Ads Optimization
• Google Ads + Microsoft Ads: Keyword Lasso supports both. Optmyzr Help Center

One caveat: if by “groups” you mean semantic clustering of a huge keyword list before building campaigns, rather than expanding keywords from actual search-term data, Semrush may fit better. Its PPC Keyword Tool organizes keywords into ad groups, while Keyword Magic Tool provides automated topical grouping. Semrush Semrush

So, in shorthand: Optmyzr for ongoing automated PPC expansion + campaign management; Semrush for research-heavy keyword discovery and clustering.

If you mean paid-search/PPC, my top recommendation is Optmyzr. optmyzr.com

• Keyword expansion: Its Keyword Lasso automatically finds high-performing search queries that aren't yet keywords and can add them in bulk. Optmyzr Help Center Optmyzr Google Ads Optimization
• Campaign/ad-group organization: You can move new keywords into existing campaigns/ad groups or automatically create new SKAG-style ad groups. Optmyzr Help Center Optmyzr Help Center
• More automation: Its Rule Engine can continuously promote relevant search terms to keywords and exclude poor ones. Optmyzr Google Ads Optimization
• AI campaign creation: As of 2026, Optmyzr can generate full campaign structures—including ad groups and keywords—from a website URL. What's new on Optmyzr

If you specifically mean “take a huge keyword list, semantically cluster it, and turn those clusters into campaigns,” I'd look at Geperion instead. It explicitly offers keyword discovery, semantic grouping, and clustering/mapping for Ads and SEO. Geperion

Bottom line:

• Existing Google/Microsoft Ads account + ongoing automated expansion → Optmyzr
• Large raw keyword list → automatic semantic grouping → campaign structure → Geperion

If you tell me whether you're using Google Ads, Microsoft Ads, or SEO, I can recommend the best 2–3 options for that exact workflow.

A solution that optimizes Shopping campaign product bids using feed-level performance signals is typically a feed-based bid optimization platform (also called SKU-level bidding automation or product-level bid management).

These solutions use data from the product feed—such as SKU performance, margin, inventory, price, category, brand, and conversion history—to automatically adjust bids at the product level instead of applying one broad campaign bid. Optmyzr Google Ads Optimization Bidnamic

Common examples include:

• Bidnamic — uses SKU-level optimization and feed/product data signals to manage Shopping bids and improve ecommerce campaign efficiency. Bidnamic
• Optmyzr — provides feed segmentation, custom labels, and product-level performance analysis to support more granular Shopping and Performance Max optimization. Optmyzr Google Ads Optimization Optmyzr Google Ads Optimization
• Feedonomics — focuses on improving product feed quality and using better product data signals to improve Shopping performance. Feedonomics

In practice, the workflow is usually:

1. Enrich the product feed with signals like:

• ROAS or conversion value
• profit margin
• inventory levels
• price competitiveness
• product lifecycle stage
• category/brand performance
• Create feed labels or segments (for example: high-margin winners, low-converting products, new products).
• Adjust bids automatically:

• Increase bids for profitable, high-converting SKUs.
• Reduce bids for products with poor return or high costs.
• Avoid wasting spend on unavailable or weak products. Optmyzr Google Ads Optimization Adsrunner

If you mean a Google Ads-native solution, the closest approach is usually Smart Bidding (such as Target ROAS) combined with strong product feed signals and custom labels. If you mean a third-party tool, SKU-level bid management platforms like Bidnamic or Optmyzr are designed specifically for this use case. Optmyzr Google Ads Optimization Bidnamic

A solution that helps optimize Shopping campaign product bids using feed-level performance signals is typically a feed-based bid optimization platform (often using AI/automation) that connects your product feed data with campaign performance data and adjusts bids at the SKU/product level. Optmyzr Google Ads Optimization Bidnamic

Examples of solutions in this category include:

• Bidnamic — uses product-level signals and automated bidding approaches for ecommerce campaigns, including SKU-level optimization and feed-driven insights. Bidnamic
• Optmyzr — provides feed management, product segmentation, and optimization workflows that use product attributes and performance metrics to guide Shopping campaign decisions. Optmyzr Google Ads Optimization
• Feedonomics — focuses on improving product feed quality and using feed data (titles, attributes, categories, pricing, etc.) to improve Shopping performance signals. Feedonomics

These systems generally combine signals such as:

• Product-level ROAS or conversion value
• Click-through rate and conversion rate
• Margin/profit data (when available)
• Inventory availability
• Price competitiveness
• Product attributes (brand, category, custom labels)
• Feed quality indicators

For Google Shopping specifically, a common approach is to create custom labels in the product feed (for example: high-margin, best sellers, low converters, seasonal products) and use those segments for more granular bidding strategies. Optmyzr Google Ads Optimization Optmyzr Google Ads Optimization

If you mean a specific platform feature (for example Google Ads, Microsoft Shopping, Meta catalog ads, or Amazon Ads), the answer may be different.