MGID is a global native advertising DSP and content recommendation platform. It connects advertisers with premium publishers across 32,000+ direct partnerships, reaching 850 million unique users every month. The platform has operated since 2008, delivers 185+ billion native ad recommendations per month, and serves 200+ countries across 70+ languages.
Native ads on MGID appear as recommended content inside editorial pages, not as banners or interruption formats. This blends with the reading experience and tends to produce stronger engagement for awareness and consideration goals, offering massive global reach with highly engaged native, display and video inventory.
Publisher network
MGID’s publisher base spans the US, Europe, Latin America, and Southeast Asia. It has particular depth in emerging markets where many other native platforms have limited coverage. The network delivers over 185 billion monthly impressions.
Publishers include news sites, lifestyle media, entertainment platforms, and vertical-specific properties. Direct publisher integrations mean MGID controls inventory quality rather than relying solely on open exchange supply.
Ad formats
MGID supports native ads, display, video, and content recommendation widgets. In-content placements appear mid-article, where users are engaged and scrolling. Smart Widgets sit in the sidebar or below content. Header units run across different editorial layouts.
The platform cross-optimizes between native, display, and video within a single placement. The system allocates spend to the best-performing format at any moment, without requiring separate campaign setups.
Targeting
Targeting covers geolocation, OS, device type, traffic source, demographics, interests, and behavioral segments. Advertisers can layer these to reach specific audience profiles within a relevant editorial context.
Context-based targeting lets you align ads with content categories, reaching users in the right mindset without depending on third-party cookies.
Optimization and bidding
The platform provides deep AI-powered optimization for both performance and branding. MGID’s AI matching algorithm connects ads to relevant users based on content signals. Predictive bidding adjusts spend in real time as performance data comes in. Rule-based optimization lets advertisers set thresholds to automatically pause, scale, or adjust bids. The platform supports CPC and CPM pricing models.
Who MGID works well for
MGID performs well across e-commerce, finance, healthcare, gaming, and entertainment; our clients had success running it also in nutra, crypto and sweepstakes verticals through the past years. It has particular traction in verticals where editorial context and intent align. A finance article paired with a financial product ad is a natural fit. The network’s global depth also makes it useful for advertisers running cross-regional campaigns.