Native and content advertising
Asked as “native advertising platform”, and as “content recommendation and native ads network”, on behalf of a mid-market B2B company. 44 first choices recorded across the direct, paraphrase, budget and scale prompts, twelve models each.
Standing · first-choice share
23%
Contested · MGID 20%
23StackAdapt20MGID14Revcontent43others
23% of first choices, contested.
By buyer segment
The same question asked on behalf of a different buyer. Each standing is computed within its segment; they sit side by side and are never added together.
The standing
Share is the count of first choices across the direct, paraphrase, budget and scale prompts, over all twelve models, for a mid-market B2B company. Ordered by share.
ProductFirst-choice shareNegative rateLabelsQuadrant
Show the three products at 0%, ordered by negative rate
Bars are the share of first choices, 0 to 100Every product with at least 10 labels here. Every product name links to its product page.
All fifteen head-to-head pages: the top six products, each against each
StackAdapt vs TaboolaStackAdapt vs LinkedIn Sponsored ContentMGID vs TeadsMGID vs RevcontentMGID vs TaboolaMGID vs LinkedIn Sponsored ContentTeads vs RevcontentTeads vs TaboolaTeads vs LinkedIn Sponsored ContentRevcontent vs TaboolaRevcontent vs LinkedIn Sponsored ContentTaboola vs LinkedIn Sponsored Content
Recommended versus criticized
Every product with at least 10 labels here, on both axes. The 30% line names a quadrant, not the verdict above: that one needs more than 40%.
Criticized challengerCriticized default
Negative label rate →
01
02
03
04
05
06
07
08S09
Accepted challengerEndorsed leader
0%First-choice share → · lines at 30% share and 25% negative40%
Key
01StackAdapt23%
StackAdapt23%02MGID20%
MGID20%03Teads14%
Teads14%04Revcontent14%
Revcontent14%05Taboola11%
Taboola11%06LinkedIn Sponsored Content5%
LinkedIn Sponsored Content5%07Nativo0%
Nativo0%08TripleLift0%
TripleLift0%09Sharethrough0%
What they warned about
Three of twelve models held their first choice under the paraphrase. Claude Haiku 4.5, GPT-5.4 mini, Gemini 3.5 Flash, Perplexity Sonar, Grok 4.20, Mistral Small, Llama 4 Maverick, GLM 4.7 FlashX and MiniMax M2.5 changed. A high negative share on a product with few labels is a warning. A low share on a product with many labels is salience, not sentiment.
Taboola36%
21 of 59 labels negative · 11 of 12 models · 2 hard negative
“Many advertisers report 100% bot traffic with 100% bounce rates ... Rating: 2.7/5 on Trustpilot (rated "Poor")” GLM 4.7 FlashX, negative prompt
Revcontent23%
11 of 47 labels negative · 10 of 12 models · 5 hard negative
“Revcontent enforces a hard campaign minimum daily budget of $50 to $100 per day... too steep for a limited-budget test” Gemini 3.5 Flash, budget prompt
Teads23%
16 of 70 labels negative · 9 of 12 models · 4 hard negative
“Platforms to Avoid on a Tight Budget: Outbrain... Running ads with less than this often yields poor results.” Gemini 3.5 Flash, budget prompt
MGID21%
10 of 47 labels negative · 9 of 12 models · 3 hard negative
“Similar to Revcontent with large international reach but questionable inventory quality” Mistral Small, negative prompt
What they cite
Four of the twelve models returned a source list in this edition: four return the pages they cited.
Sites the answers cite
20 of 72 answers in this category came back with a source list, from 4 of 12 models: citations where the model returns them, or the search results it consulted. 279 links across 135 sites, every framing counted. Ranked by the number of answers carrying the site or page. The other 8 models searched through a gateway that returned no source list on this edition.
vendor site · Realize13 answers · 13 citations · 3 models
10 answers · 10 citations · 3 models
8 answers · 10 citations · 2 models
8 answers · 8 citations · 2 models
vendor site · SmartyAds7 answers · 7 citations · 3 models
vendor site · Guideflow6 answers · 6 citations · 3 models
vendor site · Reddit5 answers · 12 citations · 3 models
5 answers · 6 citations · 2 models
vendor site · Quora5 answers · 5 citations · 2 models
4 answers · 5 citations · 2 models
4 answers · 5 citations · 3 models
vendor site · Adcash4 answers · 4 citations · 2 models
Pages the answers cite
The ten pages named in the most answers, by full address. A page here is one the models returned with a recommendation, not one the index endorses.
12 answers · 3 models
8 answers · 2 models
8 answers · 2 models
7 answers · 3 models
6 answers · 3 models
6 answers · 3 models
4 answers · 2 models
4 answers · 1 model
4 answers · 3 models
3 answers · 2 models
Search against answers
Each company's standing in the answers beside its site's footprint in Google search, one row a site: the products the models named on it with their shares, and the share they add up to; monthly searches on Google, and DataForSEO's estimate of AI search demand (modeled from search signals, directional, not a count of queries to any assistant), for the most-searched of the company's and its products' names (the name is in each row's hover text); estimated monthly organic visits to the site; and its best position in Google's top ten for “best native advertising platform”, “native advertising platform”. US estimates from DataForSEO and Google's Ads Transparency Center. A small company's site, or a mid-sized company's site for its flagship, is marked company; a product on a large parent's site (Google, Microsoft) has no site figures. A column with no figures for this category is left out, and an empty cell means none were seen, not none exist. Two measurements side by side: neither is read as the cause of the other.
| Company and products | Share | Own site cited | Name searches, Google | AI search demand, est. | Organic visits | Paid search a month, est. | Google ads, last 30 days | Best Google position |
|---|---|---|---|---|---|---|---|---|
| StackAdapt stackadapt.com | 23% | 393 | 8,100 | 167 | 26,512 | $18,665 | 39 | |
| MGID mgid.com | 20% | 122 | 720 | 38 | 2,288 | 23 | ||
| Teads teads.com | 14% | 189 | 1,900 | 177 | 1,756 | 0 | ||
| Revcontent revcontent.com | 14% | 101 | 590 | 10 | 1,047 | |||
| Taboola taboola.com | 11% | 182 | 12,100 | 501 | 11,072 | $336 | 8 | |
| LinkedIn parent site LinkedIn Sponsored Content 5% | 5% | 58 | 11,100,000 | 77,031 | ||||
| Dianomi dianomi.com | 2% | 23 | ||||||
| Meta parent site Meta Audience Network 2% | 2% | 12 | 480 | 31 | ||||
| AdLib getadlib.com | 2% | 47 | 33,100 | 997 | 12,294 | 0 | 3 | |
| NetLine netline.com | 2% | 3 |
Google's top ten for the two searches hold 14 sites; 4 of them are among the sites the models cited here (ads.life360.com, getadlib.com, nativeadvertisinginstitute.com, reddit.com). The first result for “best native advertising platform” is g2.com.
How they answered
Six framings of the same buying question, each sent to every model in a fresh session with search on. One row per model, so a row shows whether it held its answer under rewording, what it named when cost was the constraint, and what it argued against. Computed from the raw judge labels.ShowHide
How they answered
Six framings of the same buying question, each sent to every model in a fresh session with search on. One row per model, so a row shows whether it held its answer under rewording, what it named when cost was the constraint, and what it argued against. Computed from the raw judge labels.
ShowHideModelDirect“What is the best native advertising platform for a mid-market B2B company?”Paraphrase“Which content recommendation and native ads network would you recommend to a mid-sized B2B company?”Comparative“What are the top native advertising platforms and how do they differ?”Budget-constrained“What is the best native advertising platform for a company with a limited budget?”Scale-constrained“We are a 500 person company evaluating a native advertising platform. What should we look at?”Negative“Which native advertising platforms should I avoid or be cautious about?”
Claude Haiku 4.5Teadsagainst: TaboolaLinkedIn Native AdvertisingChangedagainst: Taboola, TeadsTaboola, TeadsMeta Audience Networkno first choicenothing named
Four alternatives
AdRoll ABM, Demandbase, StackAdapt, ZoomInfoOne alternative
RevcontentTwo alternatives
7SearchPPC, MGIDGPT-5.4 miniLinkedIn Sponsored ContentTeadsChangedno first choiceTeadsagainst: Revcontentno first choiceagainst: MGID, Revcontent, Taboola, Teads
Three alternatives
StackAdapt, Taboola, TeadsFour alternatives
Google Demand Gen, LinkedIn Sponsored Content, Nativo, TaboolaOne alternative
MGIDGemini 3.5 FlashStackAdaptDianomiChangedTaboola, TeadsMGIDagainst: Revcontent, Taboola, Teadsno first choiceagainst: AdNow, AdsKeeper, Adsterra, Clickadu, MGID, PropellerAds, Taboola, Teads
Five alternatives
AdRoll ABM, Dianomi, LinkedIn Sponsored Content, Taboola, TeadsFour alternatives
AdLib, Madison Logic, Nativo, TeadsThree alternatives
Life360 Ads, MGID, StackAdaptThree alternatives
Galaksion, Meta Audience Network, Reddit AdsPerplexity SonarStackAdaptNetLine, TeadsChangedTaboola, TeadsMGIDagainst: AdLib, Taboola, Teadsno first choiceagainst: MGID, Revcontent, RichAds, Taboola, Teads, Zeropark
Six alternatives
LinkedIn Sponsored Content, MGID, Nativo, Revcontent, Taboola, TeadsOne alternative
LinkedIn Sponsored ContentSix alternatives
MGID, Nativo, Revcontent, Sharethrough, StackAdapt, TripleLiftOne alternative
RevcontentGrok 4.20RevcontentLinkedIn Sponsored ContentChangedagainst: TeadsTaboola, TeadsMGIDagainst: Taboola, TeadsStackAdapt, Taboolaagainst: MGID, Revcontent, Taboola, Teads
Three alternatives
MGID, StackAdapt, TaboolaThree alternatives
MGID, Revcontent, TaboolaFive alternatives
MGID, Nativo, Revcontent, StackAdapt, TripleLiftOne alternative
RevcontentTwo alternatives
Nativo, TeadsMistral SmallStackAdaptTeadsChangedTaboolaRevcontentagainst: Teadsno first choiceagainst: MGID, Revcontent, Taboola, Teads
Three alternatives
MGID, Revcontent, TeadsThree alternatives
NetLine, StackAdapt, TaboolaSix alternatives
MGID, Nativo, Realize, Revcontent, StackAdapt, TeadsOne alternative
MGIDDeepSeek V4 FlashStackAdaptagainst: DV360, The Trade DeskStackAdaptHeldagainst: MGID, Nativo, TaboolaTaboolaMGIDagainst: StackAdapt, Taboola Self-Serve, Teadsno first choiceagainst: FroggyAds, MGID, MintFunnel, Revcontent, RichAds, Taboola, Teads
Four alternatives
MGID, Revcontent, Taboola, TeadsTwo alternatives
Revcontent, TeadsSix alternatives
MGID, Nativo, Revcontent, Sharethrough, Teads, TripleLiftOne alternative
RevcontentLlama 4 MaverickAbmatic AIRevcontent, TaboolaChangedno first choiceMGID, RevcontentAdLibnothing named
Two alternatives
AdRoll ABM, RevcontentFour alternatives
Nativo, StackAdapt, Taboola, TeadsQwen 3.7 FlashRevcontentagainst: TaboolaRevcontentHeldagainst: Taboolano first choiceMGIDagainst: Taboolano first choiceagainst: Content.ad, LockerDome, MGID, Revcontent, Taboola
Three alternatives
Nativo, StackAdapt, TeadsTwo alternatives
StackAdapt, TeadsTwo alternatives
AdLib, Meta Audience NetworkKimi K2StackAdaptagainst: TaboolaStackAdaptHeldno first choiceMGIDagainst: Taboola, TeadsTaboola, Teadsagainst: MGID, Revcontent, RichAds, Taboola, Teads
Three alternatives
AdRoll ABM, Revcontent, TeadsThree alternatives
LinkedIn Sponsored Content, Taboola, TeadsSix alternatives
MGID, Nativo, Revcontent, StackAdapt, Taboola, TeadsTwo alternatives
Meta Audience Network, MonetagThree alternatives
AdLib, Nativo, StackAdaptGLM 4.7 FlashXStackAdaptTaboolaChangedStackAdapt, TaboolaMGIDno first choiceagainst: Revcontent, Taboola, Teads
Two alternatives
AdRoll ABM, RevcontentThree alternatives
MGID, MSN/Microsoft Audience Network, StackAdaptThree alternatives
MGID, Nativo, TripleLiftThree alternatives
Adsterra, Taboola, Yahoo DSPMiniMax M2.5StackAdaptTaboolaChangedTaboolaMGIDagainst: StackAdaptno first choiceagainst: MGID, Mobidea, Nativo, Revcontent, Taboola
Three alternatives
AdRoll ABM, MGID, RevcontentFour alternatives
MGID, Revcontent, StackAdapt, TeadsOne alternative
TeadsTwo alternatives
Adsterra, TaboolaBold is the first choiceAlternatives are counted; the count opens them.What the answer argued against
The record
One row per call: the version string exactly as returned, whether the model searched, sources cited, and latency.
Seventy-two rows: every prompt, every model, every answer.
| Prompt | Model | Version string | Time (UTC) | Searched | Sources | Latency |
|---|---|---|---|---|---|---|
| Direct recommendation | Claude Haiku 4.5 | claude-haiku-4-5-20251001 | 2026-09-15 01:12 | yes | 8 | 8 s |
| Direct recommendation | GPT-5.4 mini | gpt-5.4-mini-2026-03-17 | 2026-09-15 03:03 | yes | 3 | 6 s |
| Direct recommendation | Gemini 3.5 Flash | gemini-3.5-flash | 2026-09-15 00:19 | yes | 9 | 19 s |
| Direct recommendation | Perplexity Sonar | sonar | 2026-09-15 03:04 | yes | 20 | 5 s |
| Direct recommendation | Grok 4.20 | spacexai/grok-4.1-fast-non-reasoning via vertex (asked for grok-4.20-non-reasoning; the API answered as this version) | 2026-09-15 04:42 | yes | 0 | 9 s |
| Direct recommendation | Mistral Small | mistral/mistral-small via mistral | 2026-09-14 23:32 | yes | 0 | 6 s |
| Direct recommendation | DeepSeek V4 Flash | deepseek/deepseek-v4-flash via fireworks | 2026-09-14 23:06 | yes | 0 | 19 s |
| Direct recommendation | Llama 4 Maverick | meta/llama-4-maverick via bedrock | 2026-09-15 02:24 | yes | 0 | 1 s |
| Direct recommendation | Qwen 3.7 Flash | alibaba/qwen3.7-flash via alibaba | 2026-09-15 02:03 | yes | 0 | 53 s |
| Direct recommendation | Kimi K2 | moonshotai/kimi-k2 via novita | 2026-09-15 05:02 | yes | 0 | 45 s |
| Direct recommendation | GLM 4.7 FlashX | zai/glm-4.7-flashx via zai | 2026-09-14 23:39 | yes | 0 | 81 s |
| Direct recommendation | MiniMax M2.5 | minimax/minimax-m2.5 via minimax | 2026-09-15 03:46 | yes | 0 | 18 s |
| Paraphrase | Claude Haiku 4.5 | claude-haiku-4-5-20251001 | 2026-09-15 04:20 | no | 0 | 6 s |
| Paraphrase | GPT-5.4 mini | gpt-5.4-mini-2026-03-17 | 2026-09-14 23:27 | no | 0 | 4 s |
| Paraphrase | Gemini 3.5 Flash | gemini-3.5-flash | 2026-09-15 00:58 | yes | 23 | 21 s |
| Paraphrase | Perplexity Sonar | sonar | 2026-09-15 00:58 | yes | 20 | 5 s |
| Paraphrase | Grok 4.20 | spacexai/grok-4.1-fast-non-reasoning via vertex (asked for grok-4.20-non-reasoning; the API answered as this version) | 2026-09-15 05:00 | yes | 0 | 8 s |
| Paraphrase | Mistral Small | mistral/mistral-small via mistral | 2026-09-15 00:40 | yes | 0 | 7 s |
| Paraphrase | DeepSeek V4 Flash | deepseek/deepseek-v4-flash via fireworks | 2026-09-15 03:32 | yes | 0 | 30 s |
| Paraphrase | Llama 4 Maverick | meta/llama-4-maverick via bedrock | 2026-09-14 23:30 | yes | 0 | 2 s |
| Paraphrase | Qwen 3.7 Flash | alibaba/qwen3.7-flash via alibaba | 2026-09-15 00:22 | yes | 0 | 31 s |
| Paraphrase | Kimi K2 | moonshotai/kimi-k2 via novita | 2026-09-15 03:19 | yes | 0 | 58 s |
| Paraphrase | GLM 4.7 FlashX | zai/glm-4.7-flashx via zai | 2026-09-15 00:53 | yes | 0 | 107 s |
| Paraphrase | MiniMax M2.5 | minimax/minimax-m2.5 via minimax | 2026-09-15 04:24 | yes | 0 | 32 s |
| Comparative | Claude Haiku 4.5 | claude-haiku-4-5-20251001 | 2026-09-15 00:39 | yes | 7 | 7 s |
| Comparative | GPT-5.4 mini | gpt-5.4-mini-2026-03-17 | 2026-09-15 04:23 | yes | 7 | 8 s |
| Comparative | Gemini 3.5 Flash | gemini-3.5-flash | 2026-09-14 23:46 | yes | 16 | 30 s |
| Comparative | Perplexity Sonar | sonar | 2026-09-14 23:51 | yes | 20 | 10 s |
| Comparative | Grok 4.20 | spacexai/grok-4.1-fast-non-reasoning via vertex (asked for grok-4.20-non-reasoning; the API answered as this version) | 2026-09-15 00:13 | yes | 0 | 6 s |
| Comparative | Mistral Small | mistral/mistral-small via mistral | 2026-09-14 23:59 | yes | 0 | 7 s |
| Comparative | DeepSeek V4 Flash | deepseek/deepseek-v4-flash via fireworks | 2026-09-15 00:52 | yes | 0 | 24 s |
| Comparative | Llama 4 Maverick | meta/llama-4-maverick via bedrock | 2026-09-15 01:08 | yes | 0 | 2 s |
| Comparative | Qwen 3.7 Flash | alibaba/qwen3.7-flash via alibaba | 2026-09-15 01:32 | yes | 0 | 30 s |
| Comparative | Kimi K2 | moonshotai/kimi-k2 via novita | 2026-09-14 22:54 | yes | 0 | 32 s |
| Comparative | GLM 4.7 FlashX | zai/glm-4.7-flashx via zai | 2026-09-15 01:19 | yes | 0 | 60 s |
| Comparative | MiniMax M2.5 | minimax/minimax-m2.5 via minimax | 2026-09-15 04:52 | yes | 0 | 40 s |
| Budget constrained | Claude Haiku 4.5 | claude-haiku-4-5-20251001 | 2026-09-15 03:19 | yes | 6 | 8 s |
| Budget constrained | GPT-5.4 mini | gpt-5.4-mini-2026-03-17 | 2026-09-15 00:03 | yes | 4 | 4 s |
| Budget constrained | Gemini 3.5 Flash | gemini-3.5-flash | 2026-09-15 03:55 | yes | 22 | 28 s |
| Budget constrained | Perplexity Sonar | sonar | 2026-09-15 01:49 | yes | 20 | 5 s |
| Budget constrained | Grok 4.20 | spacexai/grok-4.1-fast-non-reasoning via vertex (asked for grok-4.20-non-reasoning; the API answered as this version) | 2026-09-15 01:32 | yes | 0 | 4 s |
| Budget constrained | Mistral Small | mistral/mistral-small via mistral | 2026-09-15 04:00 | yes | 0 | 7 s |
| Budget constrained | DeepSeek V4 Flash | deepseek/deepseek-v4-flash via deepinfra | 2026-09-15 00:13 | yes | 0 | 25 s |
| Budget constrained | Llama 4 Maverick | meta/llama-4-maverick via bedrock | 2026-09-15 01:48 | yes | 0 | 2 s |
| Budget constrained | Qwen 3.7 Flash | alibaba/qwen3.7-flash via alibaba | 2026-09-15 02:06 | yes | 0 | 39 s |
| Budget constrained | Kimi K2 | moonshotai/kimi-k2 via novita | 2026-09-15 00:52 | yes | 0 | 31 s |
| Budget constrained | GLM 4.7 FlashX | zai/glm-4.7-flashx via zai | 2026-09-15 02:41 | yes | 0 | 56 s |
| Budget constrained | MiniMax M2.5 | minimax/minimax-m2.5 via minimax | 2026-09-14 22:55 | yes | 0 | 35 s |
| Scale constrained | Claude Haiku 4.5 | claude-haiku-4-5-20251001 | 2026-09-14 23:05 | no | 0 | 6 s |
| Scale constrained | GPT-5.4 mini | gpt-5.4-mini-2026-03-17 | 2026-09-15 03:55 | no | 0 | 7 s |
| Scale constrained | Gemini 3.5 Flash | gemini-3.5-flash | 2026-09-15 01:57 | yes | 12 | 27 s |
| Scale constrained | Perplexity Sonar | sonar | 2026-09-15 01:22 | yes | 20 | 44 s |
| Scale constrained | Grok 4.20 | spacexai/grok-4.1-fast-non-reasoning via vertex (asked for grok-4.20-non-reasoning; the API answered as this version) | 2026-09-14 23:16 | yes | 0 | 8 s |
| Scale constrained | Mistral Small | mistral/mistral-small via mistral | 2026-09-15 03:17 | yes | 0 | 10 s |
| Scale constrained | DeepSeek V4 Flash | deepseek/deepseek-v4-flash via fireworks | 2026-09-15 04:41 | yes | 0 | 21 s |
| Scale constrained | Llama 4 Maverick | meta/llama-4-maverick via bedrock | 2026-09-15 03:34 | yes | 0 | 2 s |
| Scale constrained | Qwen 3.7 Flash | alibaba/qwen3.7-flash via alibaba | 2026-09-15 00:42 | no | 0 | 33 s |
| Scale constrained | Kimi K2 | moonshotai/kimi-k2 via novita | 2026-09-15 02:31 | yes | 0 | 69 s |
| Scale constrained | GLM 4.7 FlashX | zai/glm-4.7-flashx via zai | 2026-09-15 01:38 | yes | 0 | 31 s |
| Scale constrained | MiniMax M2.5 | minimax/minimax-m2.5 via minimax | 2026-09-15 04:07 | yes | 0 | 15 s |
| Negative framing | Claude Haiku 4.5 | claude-haiku-4-5-20251001 | 2026-09-14 23:31 | yes | 17 | 8 s |
| Negative framing | GPT-5.4 mini | gpt-5.4-mini-2026-03-17 | 2026-09-14 23:26 | yes | 2 | 5 s |
| Negative framing | Gemini 3.5 Flash | gemini-3.5-flash | 2026-09-15 01:06 | yes | 23 | 24 s |
| Negative framing | Perplexity Sonar | sonar | 2026-09-15 00:32 | yes | 20 | 7 s |
| Negative framing | Grok 4.20 | spacexai/grok-4.1-fast-non-reasoning via vertex (asked for grok-4.20-non-reasoning; the API answered as this version) | 2026-09-14 23:05 | yes | 0 | 7 s |
| Negative framing | Mistral Small | mistral/mistral-small via mistral | 2026-09-15 02:46 | yes | 0 | 6 s |
| Negative framing | DeepSeek V4 Flash | deepseek/deepseek-v4-flash via deepinfra | 2026-09-14 23:40 | yes | 0 | 38 s |
| Negative framing | Llama 4 Maverick | meta/llama-4-maverick via bedrock | 2026-09-15 03:04 | yes | 0 | 1 s |
| Negative framing | Qwen 3.7 Flash | alibaba/qwen3.7-flash via alibaba | 2026-09-15 00:22 | yes | 0 | 23 s |
| Negative framing | Kimi K2 | moonshotai/kimi-k2 via novita | 2026-09-15 02:26 | yes | 0 | 69 s |
| Negative framing | GLM 4.7 FlashX | zai/glm-4.7-flashx via zai | 2026-09-15 05:05 | yes | 0 | 23 s |
| Negative framing | MiniMax M2.5 | minimax/minimax-m2.5 via minimax | 2026-09-15 03:35 | yes | 0 | 20 s |
Normalization in this category
Every judgment call made between the raw labels and the numbers above, listed so it is visible and reversible.
ShowHide
Category-scoped readings
Google Discovery / Demand Gen read as Google Demand Gen
LinkedIn read as LinkedIn Sponsored Content
LinkedIn Ads read as LinkedIn Sponsored Content
LinkedIn Campaign Manager read as LinkedIn Sponsored Content
LinkedIn Marketing Solutions read as LinkedIn Sponsored Content
Meta (Facebook & Instagram Sponsored Posts) read as Meta Audience Network
Unresolved, counted raw
AdsNative
Life360
LinkedIn Native Advertising
LockerDome
MSN/Microsoft Audience Network
MintFunnel
Mobidea
Qortex
Taboola Self-Serve
Discontinued, still offered
No shut-down product was recommended here.