Head-to-head · Ad Networks Software
Adtelligent vs GumGum
Adtelligent leads on 1 check, GumGum on 0, and 4 are even. Who comes out ahead on the 5 yes/no, price and count checks where we have data for both products. The editor score weighs everything else too.
Our verdict
- Highest scoreAdtelligent · 8.8/10
- Most featuresAdtelligent · 4 of 4
Adtelligent scores higher on our rubric for ad networks software: 8.8 against 8.5 out of 10; our editors rank them #1 and #2.
Adtelligent offers self-serve campaigns; GumGum doesn't.
Adtelligent is the better fit for teams combining publisher monetization and media buying. GumGum is the better fit for advertisers prioritizing contextual and video campaigns.
- Adtelligent fits best
Teams combining publisher monetization and media buying
- GumGum fits best
Advertisers prioritizing contextual and video campaigns
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Side by side
| Feature | Adtelligent 8.8/10 Visit ↗ | GumGum 8.5/10 Visit ↗ |
|---|---|---|
| At a glance | ||
| Editor score | 8.8 | 8.5 |
| Ranking | #1 in Ad Networks Software | #2 in Ad Networks Software |
| Best for | Teams combining publisher monetization and media buying | Advertisers prioritizing contextual and video campaigns |
| Pricing model | Paid | Paid |
| Starting price | Pricing on request | Pricing on request |
| Free plan | Not checked yet | — |
| Free trial | — | — |
| Deployment | Cloud | Cloud |
| Platforms | Web | Web |
| Support | Email, Docs | |
| Integrations | 3 integrations | 5 integrations |
| Built for | Small business, Mid-market, Enterprise | Mid-market, Enterprise |
| Features Adtelligent 4/4 · GumGum 1/4 | ||
| Self-serve campaigns | ✓ (best) | — |
| Publisher payouts | ✓ (best) | Not checked yet |
| API access | ✓ | ✓ |
| White-label network | ✓ (best) | Not checked yet |
| Specs | ||
| Platform model | Both | Both |
| Supported ad formats | display, video, native, audio, push, pop, search, CTV/OTT | CTV, online video, high-impact display, skins, Hang Time, Velocity, interactive formats, in-content, ad break, pause placements |
| Targeting options | precision targeting, audience segmentation, campaign scheduling, budget controls | Contextual content signals, audience mindset/receptivity, attention, trending topics, first-party data, device and environment, past performance, seasonal moments, audience segments |
| Our review | ||
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| Our verdict | Adtelligent brings publisher monetization and advertiser media buying together in a cloud platform. Its supply-side tools handle inventory, demand integrations, bidding, yield optimization, fraud controls and reporting; its self-serve… Read the review → |
GumGum is an advertising technology platform for advertisers and publishers. Advertisers can activate campaigns across connected TV, online video and high-impact display, while publishers connect inventory through server-to-server… Read the review → |
Strengths and trade-offs
Adtelligent — where it wins
- Combines publisher-side monetization with a self-serve buying platform
- Supports client-side, server-side and hybrid header bidding
- Offers targeting, reporting, yield optimization and fraud controls
Where it doesn't
- Pricing is handled through contact or demo requests
- The breadth of tools may not suit teams seeking a single-purpose ad product
- Email and documentation are the listed support channels
GumGum — where it wins
- Contextual targeting uses content, real-time signals and audience mindset.
- Activates CTV, online video and high-impact display campaigns.
- Connects with major exchanges, header-bidding tools and ad servers.
Where it doesn't
- Self-serve campaigns are unavailable.
- Commercial activation requires contact with GumGum teams.
- Publisher payout terms are not specified.
- Adtelligent8.8/10 · Pricing on request
A full-service programmatic platform spanning publisher yield and advertiser campaigns.
Visit AdtelligentFull verdict → - GumGum8.5/10 · Pricing on request
A contextual and video-focused ad platform for managed, programmatic campaigns.
Visit GumGumFull verdict →
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All ad networks software comparisons → · Full ranking →
Reviewed by iTechGuides Editors · Editorial team · Updated Oct 2026
Last updated · How we research and update





