Topsort
vs. Moloco.
Topsort brings intelligence, infrastructure, and operations into one commerce media system.
Commerce-native auctions, relevance, advertiser workflows, attribution, omnichannel monetization, and AI operation — built around the commerce business, not just campaign performance.
Two AI-native approaches to commerce media.
Topsort Commerce media infrastructure | Moloco AI performance advertising | |
|---|---|---|
| Built around | Commerce monetization infrastructure | AI-powered performance advertising |
| Core philosophy | Intelligence embedded across the commerce media operating system | Machine learning that maximizes advertiser outcomes |
| Decisioning | Catalog + relevance + auction + performance + marketplace economics | Behavioral signals + personalization + predicted performance |
| Optimization | Bidding, pacing, relevance, ranking, yield, and cross-surface decisioning | CARA-powered personalization, bidding, and campaign automation |
| Operating model | One system to run and expand the commerce media business | High-performance commerce advertising platform |
| Best fit | Teams wanting control, flexibility, and a broad monetization infrastructure layer | Teams prioritizing sophisticated ML-driven advertising performance |
Moloco is built to make advertising perform.
Topsort is built to make the entire commerce media business perform.
Compare the platforms
● Native / core capability ◐ Supported through a different operating model or product
| Capability | Topsort | Moloco |
|---|---|---|
| Commerce-native auction & ranking | ●Core — auctions, relevance, ranking, and commerce decisioning | ●Core ML-driven ad decisioning |
| Catalog-aware monetization | ●Core to decisioning | ●Core input to ML |
| AI optimization / autobidding | ●BIDLESS + bidding, pacing, relevance, ranking, and yield | ●CARA + Target ROAS + MaxSales optimization |
| Advertiser self-service | ●Integrated commerce workflows | ●Integrated |
| Closed-loop attribution | ●Native commerce attribution | ●SKU-level closed-loop measurement |
| API-first customization | ●Core — customize retailer experiences and business logic | ●Decision, Event + Management APIs |
| Onsite + offsite + in-store | ●Unified commerce media infrastructure | ◐Strong onsite + broader Moloco advertising ecosystem; different surface model |
| AI / conversational commerce | ●Tomi + Sponsored Prompts + agentic commerce direction | ◐Advanced ML, but a different product model |
| Retail media operating system | ●Auctions + advertisers + funding + reporting + workflows + optimization | ◐More centered on advertising performance and campaign infrastructure |
The question is how much of the commerce media business you want the platform to own.
Don't just optimize the ad. Optimize the commerce media business.
Commerce intelligence goes beyond campaign performance
A great ad model answers: which ad is most likely to perform? A commerce media system increasingly has to answer more:
Topsort connects auction performance to the wider economics of the commerce business.
Performance is an input. Commerce is the system.
Build around your marketplace — not a generic model
Every marketplace behaves differently.
Relevance can mean something completely different in furniture, fashion, grocery, travel, delivery, or marketplaces with one-of-a-kind inventory. Topsort is API-first where retailers need control, while its commerce intelligence handles the underlying auctions and optimization.
Customize what makes your marketplace different. Don't rebuild the monetization engine underneath it.
One operating system, not just an optimization engine
Retail media doesn't end when the winning ad is selected. Teams also have to operate:
Topsort brings those pieces into a shared infrastructure layer. The result is a platform that can increasingly take responsibility not only for which ad wins, but for how the media business operates and grows.
Not an optimization engine. An operating system.
Built for the next commerce surface
Today's retail media business might start with sponsored products. Tomorrow:
Topsort is building one intelligence layer across those environments. That includes monetization formats designed for AI-native discovery itself — not simply applying machine learning to traditional advertising formats.
AI shouldn't only optimize the campaign. It should operate the commerce media system.
Complex marketplaces need infrastructure that adapts to them.
Built around a marketplace where almost every product is different.
1stDibs runs a marketplace where relevance depends on much more than category. Creator, style, material, period, price, and shopper context all shape what should be shown.
Topsort migrated roughly 1,800–2,000 sponsored listing campaigns, handled 100% of sponsored listings traffic on launch day, and kept real-time auction latency below 50 milliseconds.
The best intelligence isn't generic. It understands the marketplace it's optimizing.
How to evaluate Topsort vs. Moloco
Don't ask who has the better AI story. Ask what you need AI to do.
AI is becoming table stakes. What it understands — and what it can operate — is the difference.
Talk to a retail media expertAI can optimize an ad. Commerce intelligence can optimize the business behind it.
Build your commerce media infrastructure around relevance, marketplace economics, advertiser outcomes, and every surface where commerce happens.