/Platform comparison

Topsort vs.
Google Ad Manager.

Commerce media needs more than an ad server. Topsort is built to optimize the entire commerce media business — commerce-native auctions, catalog intelligence, purchase attribution, advertiser workflows and AI optimization in one platform.

Google Ad Manager
Publisher ad management
Inventory + ad units
Orders + line items
Targeting + creatives
Ad delivery
vs.
Topsort
Commerce media infrastructure
Shopper intent + catalog + advertiser demand
Commerce intelligence
Auction + relevance + AI optimization
Purchase + revenue

Google's own documentation defines Ad Manager around publisher inventory, ad units, orders, line items, creatives, targeting and serving.

From managing inventory → to optimizing commerce.
/At a glance

Built for different kinds of monetization.

Topsort
Commerce media infrastructure
Google Ad Manager
Publisher ad management
Built aroundCommerce monetizationPublisher inventory monetization
Core philosophyOptimize commerce outcomesManage, deliver, and monetize ad inventory
DecisioningCatalog + relevance + auction + performance + purchase signalsInventory + targeting + line-item eligibility + delivery logic
OptimizationAI-powered bidding, pacing, relevance, quality, attribution, and yieldPublisher delivery, inventory utilization, forecasting, and yield
Operating modelOne commerce media systemPublisher ad-management platform
Best fitTeams building a scalable commerce media businessPublishers with substantial direct, programmatic, and multi-network ad operations
The difference

GAM manages advertising inventory.
Topsort optimizes commerce opportunities.

Compare the platforms

Native / core capability    Supported through configuration, integration, or a different operating model    Not a native focus

CapabilityTopsortGoogle Ad Manager
Commerce-native auction & rankingCore — product, seller, relevance, performance and auction decisioningAuction infrastructure, but publisher-inventory model
Sponsored listingsNativeNot a core GAM product model
Catalog-aware monetizationCore to decisioningRequires commerce-specific implementation
Closed-loop purchase attributionNative commerce attributionRequires commerce data and integration
AI optimization / autobiddingBidding + pacing + relevance + quality + yieldOptimization built around publisher monetization and delivery
Advertiser self-serviceIntegrated retail media workflowsExternal campaign visibility, but different workflow model
Vendor funding / commerce workflowsIntegrated platform workflowNot a native retail-media operating model
Onsite retail mediaUnified commerce platformStrong ad-serving capabilities
Offsite retail mediaConnected commerce media productStrong Google ecosystem, different operating model
In-store commerce mediaIntegrated commerce surfaceCan serve digital-out-of-home inventory; not commerce-native
Conversational / AI commerce adsAI-native commerce surfacesDifferent product model
API-first commerce customizationCoreExtensible, but publisher-first architecture
/Why Topsort

Don't just serve the ad. Optimize the commerce outcome.

01

Commerce-native from the start

Traditional ad serving starts with inventory. Commerce media starts with a shopper. Topsort brings together:

Shopper intent · Catalog · Product + seller · Availability · Relevance · Advertiser demand · Purchase behavior

T-Engine explicitly supports commerce context including query, category, product, seller, placement, availability, and shopper intent. GAM knows where an ad can serve. Topsort understands what should win that commerce moment.

02

Optimize revenue — not just delivery

Serving the ad is not the final outcome. Topsort connects:

Auctions · Pacing · Relevance · Quality · Attribution · Purchases · Yield

T-Engine is designed to optimize across impressions, clicks, conversions, attributed purchases, revenue, advertiser performance, and marketplace quality. The question shifts from “did the campaign deliver?” to “did the commerce business make the most of the opportunity?”

03

One system for retailer + advertiser operations

Retail media isn't only an inventory problem. It's an operating system connecting:

Advertisers · Catalogs · Campaigns · Budgets · Auctions · Ads · Purchases · Attribution · Reporting

Topsort combines ad serving, advertiser self-service, campaign management, attribution, analytics, APIs, and optimization in one commerce media platform. Less custom infrastructure around the ad server. More of the retail media business in one system.

04

One intelligence layer across every commerce surface

Commerce media doesn't stop with banners. Sponsored listings → Display → Offsite → In-store → AI commerce.

Search · PDP · Homepage display · Offsite · In-store · AI shopping

A brand gives the retailer a budget. Topsort helps determine where that next dollar can generate the most value. Not another channel silo — commerce capital allocation.

/Customer proof

What modern commerce media infrastructure looks like.

Modern retail media requires modern infrastructure.

Liverpool

From legacy ad infrastructure to a scalable retail media platform.

30M+
customers served annually
Weeks
to initial integration
Self-service
advertiser workflows
Real-time
reporting + optimization

Liverpool, Mexico's largest department store, wanted to build a retail media business that could scale without sacrificing the shopper experience. After evaluating the market, Liverpool chose Topsort to launch a customizable, API-driven retail media platform with sponsored products, advertiser self-service, real-time reporting, and auto-bidding.

The takeaway

Modernize the ad stack around commerce — without spending years building the infrastructure yourself.

Read the Liverpool story
Poshmark

Custom commerce experiences without rebuilding the intelligence layer.

+43%
seller sales
3.8×
ROAS
+80%
ad engagement
1,000+
sellers

Poshmark partnered with Topsort to build Promoted Closet using flexible API-first infrastructure, sponsored listings, real-time reporting, auto-bidding, and BIDLESS™. For Poshmark's unique marketplace, Topsort also developed custom machine-learning and ranking models designed around its catalog and seller ecosystem.

The takeaway

Customize the customer experience — while Topsort handles the auctions, ranking, optimization, and monetization intelligence underneath.

Read the Poshmark case study

How to evaluate Topsort vs. GAM

Don't start with 100 trafficking features. Start with four questions.

Closing the GAM feature gap shouldn't mean rebuilding GAM.

Topsort maps your GAM setup one-to-one and can run in parallel during migration. You get parity where ad serving matters, and compound advantage where commerce does.

See the migration path
/Next step

Google Ad Manager was built to manage publisher inventory. Topsort is built to grow a commerce media business.

Move from line-item-centric ad serving to commerce-native infrastructure built around relevance, performance, attribution and revenue.