Microsoft Audience Network : guide 2026

Microsoft Audience Network reaches about 1 billion unique users monthly in 2026 across MSN, Outlook, LinkedIn, and a network of premium partners (Microsoft Advertising data, Q4 2025). The structural differentiator: it's the only display inventory where you can target by LinkedIn Industry, Company, and Job Function — a declarative first-party signal no other display network offers at this precision level.

Yet, on referenced US accounts, Microsoft Audience Network remains underused: either entirely absent from the media mix, or activated by default on Search campaigns without granular control — the worst configuration, polluting metrics without exploiting potential. This guide frames the inventories, native formats, targetable audiences (with focus on the LinkedIn layer), real differences vs Google Display Network, and the clean setup procedure. For the global Microsoft Ads context, see our Microsoft Ads vs Google Ads 2026 comparison. Our free CPM calculator returns cost per thousand impressions and compares to medians by display format.

Microsoft Audience Network: what is it, where does it run?

Microsoft Audience Network (often abbreviated MSAN) is Microsoft's equivalent of Google Display Network — a native + display ad inventory served on Microsoft properties (MSN, Outlook, Edge browser, MSN homepage, Bing news) and on a network of premium partners manually curated by Microsoft. Delivery is mainly in native ad format — the ad blends visually into the site's editorial content, without intrusive banner advertising.

Three properties differentiate MSAN from Google Display or Meta Audience Network. First — LinkedIn integration: Microsoft acquired LinkedIn in 2016 and progressively integrated LinkedIn signals (Industry, Company, Job Function) into Microsoft Advertising targeting. Today, it's the only display inventory where these 3 LinkedIn signals are native. Second — Outlook inventory: Outlook.com and the Outlook desktop app reach about 400M monthly global unique users, including a large B2B audience opening mail at the office. Third — premium curation: Microsoft refuses most publishers applying to the MSAN program, unlike Google Display which accepts most sites with AdSense. The result: less volume, but significantly superior brand safety.

Across the accounts observed in public Google Ads benchmarks, the MSAN demographic profile skews clearly toward a 35-55 salaried, urban audience, with dominant desktop share (60-70% of impressions vs 30-40% on Google Display). It's the ideal target profile for B2B and premium B2C verticals. Official documentation on about.ads.microsoft.com.

Inventories: MSN, Outlook, LinkedIn — the placement breakdown

MSAN aggregates four distinct inventory families, with variable conversion behaviors and supported formats. Understanding these differences conditions budget allocation and creative format choice.

MSN homepage and MSN News

MSN.com reaches about 350-400M global unique users per month per Microsoft communications. The homepage is the maximum visibility placement (top of fold, large display + native format). MSN News is the editorial inventory — partner news articles (Reuters, AP, syndicated US news, etc.) with native ads inserted in the flow. Average CTR on MSN homepage is 2.5 to 4× higher than equivalent Google Display CTR; on MSN News, the gap narrows (1.5-2×). Excellent inventory for brand awareness and premium B2C verticals (finance, real estate, travel, automotive). Our free CTR calculator compares your click-through rate to US 2026 medians by vertical.

Outlook.com and Outlook desktop

The Outlook inventory mainly delivers at the top of the mail list (in free mode) and at the foot of individual mail. Mostly native format, sometimes display sponsoring. Particularity: delivery is limited to free users (Outlook free); Microsoft 365 (Office 365) paid users don't see these ads. The audience reached is therefore strongly skewed toward personal users and SMBs — not large enterprises on paid plans. For large-enterprise B2B, Outlook is a limited channel.

LinkedIn (integrated placement)

Since 2021, MSAN also serves on certain LinkedIn placements — typically the desktop right rail and certain mobile feed placements. This delivery is limited and opaque: Microsoft doesn't publish exact splits of LinkedIn vs other inventories in MSAN reports. In practice, this represents a minority fraction of total MSAN volume (estimated under 10%). To explicitly target LinkedIn, better to use native LinkedIn Ads with Campaign Manager — MSAN exploits LinkedIn data for targeting, not really LinkedIn inventory massively.

Premium partner network (Edge, MSN, syndication)

Microsoft manually curates a network of premium publishers — online press editors, sectoral reference sites, certain marketplaces. Opaque list (Microsoft doesn't fully publish it), but controlled quality. The Edge browser network includes Edge new tabs (very visible placement) and the Edge shopping panel on e-com product pages. Good inventory for retargeting and B2B verticals where brand safety is critical.

Three additional angles deserve detailing on the premium partner network composition. First angle — editorial vs marketplace mix. On the visible fraction of the partner network, about 60 to 70% of inventory comes from press publishers and editorial sites (typically news, finance, lifestyle, professional content), and 30 to 40% comes from premium e-commerce marketplaces and sites where MSAN serves native ads on category pages or product pages. This balance plays on per-vertical performance: a B2B SaaS advertiser will see their inventory mostly on editorials, a premium fashion e-commerce advertiser will see more marketplace placements. Second angle — geographic concentration. In the US specifically, the premium partner network is broader than in some smaller markets: about 200+ active publishers in the US in Q1 2026, vs 120+ in the UK and 50 in France. This concentration means a poorly calibrated placement exclusion can amputate 8 to 15% of US inventory. Handle with care. Third angle — Edge shopping panel. The Edge shopping panel (appearing when a user browses a competitor retailer's product page) is a particularly performant placement for e-commerce retargeting. Observed CTR is typically 2.5 to 3.5x higher than a classic native MSAN, but inventory is limited (only activates at the moment of transactional intent). Use with strict budget capping to avoid crushing other placements.

For B2B strategy on Microsoft Ads as a whole, see our Microsoft Ads B2B SaaS strategy guide.

Available native formats (image, carousel, video)

Microsoft Audience Network proposes four format families. Native ad maturity is less advanced than on Meta or native LinkedIn, but sufficient to run clean campaigns in 2026. Full format specs in Microsoft documentation help.ads.microsoft.com — asset constraints (image size, headline length, ratio) are updated there with each product evolution.

Image native (responsive native ad)

Main format and the most widely served across the MSAN network. You provide several assets — 3 to 5 headlines (up to 35 characters), 2 to 5 descriptions (up to 90 characters), 3 to 8 images (square 1200x1200, landscape 1200x628), a logo, a brand name, a destination URL. Microsoft dynamically assembles variations by placement and audience. It's the most accessible format — start here if it's your first MSAN campaign.

Carousel ad

Multi-card format (2 to 10 cards per carousel), each with its own image, short headline, and destination URL. Particularly effective for e-commerce (presenting multiple products in a single ad), for B2B SaaS (presenting multiple use cases), or for brands in sequential storytelling. Mainly delivered on MSN homepage and certain partner placements. Not available on Outlook or on the LinkedIn integrated placement.

Video ad (in-feed and in-banner)

Short video format (15-60 seconds recommended) served in-feed (integrated in the MSN News flow for example) or in-banner (auto-play muted). MSAN has supported video ads since 2022 but inventory is more limited than on YouTube or Meta. Higher CPC than image native (15-25% on average across the accounts observed in public benchmarks), but excellent for brand awareness on premium B2B audience.

Audience ad (formerly Audience banner)

Classic IAB-standard display format (300x250, 728x90, 300x600, 320x50), used on partner placements outside MSN. Historical format, losing relevance — Microsoft strongly pushes advertisers toward native (image native or carousel) which systematically performs better. Use only if you reuse an existing creative banner and don't have time to redo it as native.

For asset coherence between Microsoft and Google, see our Google Ads to Microsoft import campaigns guide.

Performance benchmarks by format

Performance gaps between the four MSAN formats are significant and deserve detailed reading before any budget arbitrage. Across the accounts observed in public Google Ads benchmarks, the responsive native image format typically serves as the baseline — median CTR between 0.4 and 0.8% on B2B audience, 0.6 to 1.1% on premium B2C audience, median CPM between $4.40 and $8.80. It's the format that scales most easily, with abundant inventory and 30-day KPI stability.

The carousel format shows higher CTRs (typically +25 to +60% vs simple native image on the same audiences) because card navigation engages the user more. On the other hand, CPM is slightly higher (+8 to +15%) and available inventory is more limited — about 35-50% of native image volume in the US. Carousel performs particularly well in premium e-commerce (average basket $220+), where presenting multiple products values the comparative intent, and in B2B SaaS to sequentially present multiple use cases. Avoid on cold audiences at the start of the funnel — the cognitive complexity of the format demands a minimum of prior brand knowledge.

The video format shows the highest CPMs (15 to 25% above native image on the accounts observed in public benchmarks) but offers the best performance in awareness and multi-touch attribution. Median VTR (View-Through Rate) on premium B2B audience sits between 25 and 45% on 15-30 second videos, vs 10-18% on 60+ second videos. To maximize profitability: hook in under 3 seconds (logo and key message visible), maintain 9:16 or 4:5 vertical format to optimize mobile placement, and prefer short durations (15-20 seconds) at campaign start to validate engagement before pushing longer formats.

The classic IAB audience ad format (standard display banner) is losing momentum: CTR typically 30 to 50% lower than native, CPM slightly lower (-10 to -20%) but not compensating the performance gap. Microsoft actively pushes advertisers toward native, and premium placements are scarcer for the classic banner format. Reserve for cases where a creative banner already exists and can't be quickly redrawn as native. For accounts at the start of scaling, don't waste time on this format — investing directly in native image and carousel gives a better ROI in the first 90 days.

Targetable audiences: declarative, behavioral, LinkedIn-based

The typology of MSAN targetable audiences is richer than commonly assumed. Five families, from least to most differentiating.

• Standard demographics — age, gender, parental status. Available on most display inventories, nothing differentiating per se.
• Microsoft in-market audiences — users identified as active on a purchase category (auto, real estate, financial services, B2B software, etc.). Microsoft offers 200+ in-market categories. Comparable to Google in-market audiences, but fed by different signals (Bing search history, MSN browsing, Edge data, LinkedIn activity).
• First-party custom audiences — upload your CRM list (hashed email + phone) directly into Microsoft Audience Manager, strict equivalent of Google Customer Match. See our first-party Customer Match guide for the GDPR and SHA-256 mechanics — the procedure is nearly identical.
• Remarketing list — users who visited your site via the installed UET tag. Standard setup, segmentation by URL, duration (1-540 days).
• Similar audiences (lookalike) — extension of a first-party source (Custom audience or Remarketing list) toward users with similar behavior. On MSAN, lookalike quality strongly depends on first-party source richness.

And the differentiating layer — LinkedIn-based targeting:

• Industry — 149 LinkedIn target sectors, from "Software Development" or "Hospital & Health Care" to niches like "Maritime" or "Tobacco". Declarative precision sourced directly from the user's LinkedIn profile.
• Company — account-by-account targeting. You can upload a list of 100 ABM target accounts, or target by company size (1-10, 11-50, 51-200, 201-500, 501-1000, 1001-5000, 5001-10000, 10001+).
• Job Function — 35 functions (Engineering, Sales, Marketing, Operations, Finance, Human Resources, Legal, Product Management, Consulting, etc.). Combining Job Function + Industry is typically the most precise targeting for B2B ABM on MSAN.

On B2B SaaS accounts observed in public benchmarks, LinkedIn targeting (Industry + Job Function) drives a CTR 1.8 to 2.4× higher than generic in-market audiences, at comparable CPM. LinkedIn data isn't a B2B nice-to-have — it's the central MSAN differentiator.

LinkedIn data freshness: what to know

A recurring question often poses problems for advanced B2B advertisers: how often is the LinkedIn data (Industry, Company, Job Function) used by MSAN refreshed? The answer is nuanced by axis. Industry and Company are declarative: the user filled them on their LinkedIn profile and Microsoft retrieves them via integration. Freshness depends on the lag between profile update by user and propagation on the MSAN side, generally between 24 and 72 hours per the accounts observed in public benchmarks. Job Function is slightly more complex: LinkedIn applies internal normalization to map free job titles (e.g., "VP of Customer Success" -> Job Function "Operations" or "Sales") toward the 35 standardized functions. This normalization is replayed periodically, explaining why a position change can take up to 5-10 days to propagate in MSAN targeting.

For ABM advertisers targeting specific accounts, this freshness has a practical consequence: if you load a list of 500 target accounts and a decision-maker changes companies (move to a competitor, internal recruitment), MSAN keeps targeting them 3 to 7 days after their effective departure. It's rarely blocking for global performance (a transitioning decision-maker often remains a useful target), but it's data to know for very tight ABM setups. For accounts wanting maximum LinkedIn freshness, native LinkedIn Ads via Campaign Manager refreshes data in under 24 hours on the same axes — at the cost of a CPM 25 to 40% higher than MSAN.

Another often-forgotten point: Job Function depth. The 35 standardized functions cover main functions but sometimes lump together very different roles. The "Operations" function includes Operations Manager, COO, Supply Chain Director, Customer Success Manager, Project Manager — very different targets. To refine, combine Job Function with Seniority (seven tiers: Unpaid, Training, Entry, Senior, Manager, Director, VP, CXO, Owner, Partner) and Industry to mechanically reduce dispersion. On advanced B2B setups observed in public Google Ads benchmarks, the Industry + Job Function + Seniority triple-lock combination reduces audience by 60 to 80% but multiplies CTR by 2 to 3. The volume/precision tradeoff almost systematically favors precision in ABM contexts.

Differences vs Google Display Network

The table below synthesizes structural MSAN vs Google Display Network gaps based on accounts observed in public benchmarks. Value ranges and not point figures — gaps vary by vertical and account structure.

Three operational readings. Volume vs precision: Google Display wins largely on raw volume. MSAN wins on B2B targeting precision thanks to LinkedIn. For a B2B SaaS account seeking 200 qualified leads/month and not 2,000 unqualified visitors, MSAN often performs better at equivalent budget.

Post-cookies tilt: since 2024, third-party cookie withdrawal on Chrome has reduced Google Display audience precision on behavioral and remarketing targeting. MSAN, relying mostly on first-party signals (logged-in Microsoft account, declarative LinkedIn, internal Microsoft behavioral data), has suffered less from this shift. The relative gap has mechanically narrowed in MSAN's favor on B2B segments.

CPM premium justified or not: MSAN costs 15-28% more in CPM than Google Display on comparable targeting. This premium is justified on verticals where audience precision counts more than volume (B2B, finance, premium real estate, high-end travel); it's not justified on verticals where volume dominates (Gen Z e-com, mass-market mobile apps, low-ticket services). Make the trade-off by vertical, not in bulk.

For the inventory selection between Bing and the rest of the Microsoft ecosystem, see also our UI Bing/Yahoo/AOL differences guide.

Setting up a clean Audience Network campaign

The procedure to create a dedicated MSAN campaign wraps in 30-45 minutes for an account already with UET tag installed and at least one first-party audience uploaded. Six critical steps, in this order.

Step 1 — Uncheck Audience Network on Search campaigns

Before any dedicated MSAN setup, verify your existing Search campaigns don't deliver by default on Audience Network. In each Search campaign > Settings > Networks, uncheck the "Microsoft Audience Network" box. Otherwise, your Search metrics will be polluted by MSAN native impressions at very low CTR (4-8× lower than Search) and budget arbitrage becomes impossible.

Step 2 — Create a dedicated Audience campaign

Microsoft Advertising > Campaigns > Create campaign > Audience. Choose the objective (Awareness, Conversions per context). Set the budget (minimum $22-$33/day to start a clean test — below this threshold, LinkedIn targeting doesn't exit learning phase). Select target geographies. Bid strategy: Manual CPC for the first 14 days (granular visibility) or Maximize Conversions if you already have 30+ conversions/month on other Microsoft channels.

Step 3 — Configure ad groups by audience

One ad group per target audience — not an ad group mixing LinkedIn Industry, in-market, and remarketing. Typical B2B SaaS example:

• Ad group 1: LinkedIn Industry "Software Development" + Job Function "Engineering"
• Ad group 2: LinkedIn Industry "Marketing & Advertising" + Job Function "Marketing"
• Ad group 3: Custom audience (engaged CRM contacts) — remarketing nurture
• Ad group 4: Similar audience (lookalike on high-LTV converted clients)

Each ad group has its own bid, its own creatives adapted to the targeted persona. Mixing audiences in a single ad group dilutes the signal and prevents attributing performance by segment.

Step 4 — Create responsive native ads

For each ad group, create at least 2 responsive native ads (A/B variation). Provide: 3-5 headlines (35 characters max each), 2-5 descriptions (90 characters max), 3-5 images (square 1200x1200 + landscape 1200x628 minimum), brand logo, brand name, final URL. Microsoft assembles variations dynamically by placement. Tip: test a problem-oriented headline and a solution-oriented headline to identify what resonates with the MSAN audience.

Step 5 — Activate UET tag and conversion tracking

Without active UET tag and tracked conversions, you can't measure MSAN ROI nor switch to automatic bidding. Verify in Tools > UET tags that your UET ID is firing on the site. Configure at minimum 1 conversion goal (e-com purchase, demo request, signup). See our UET conversion tracking guide for the full procedure.

Step 6 — D14 audit and adjustments

First review after a minimum of 14 days (under that delay, signal isn't significant). Verify: CTR per ad group (LinkedIn ad groups should deliver a CTR at least 1.5× higher than generic in-market ad groups — otherwise revisit targeting precision). Cost per conversion by audience. Identify placements to exclude if a partner publisher shows aberrant CTR (very low) — Microsoft allows placement exclusions in Audience Network > Reports > Placements.

For first-launch Microsoft Ads framing as a whole, see our Microsoft Ads beginner 2026 guide. For accounts wanting an audit of their existing MSAN setup before scaling, the free SteerAds audit identifies typical leaks (Audience Network on by default on Search, multi-audience ad groups, missing placement exclusions) and proposes a 30-day restructure plan.

Common mistakes to avoid on Microsoft Audience Network

Five mistakes recur on MSAN setups observed in audit. Each can amputate 30 to 60% of the channel's potential performance without the advertiser realizing. Diagnosis and direct fix.

1. Leaving Audience Network active on Search campaigns by default. Diagnosis: Search reports show an average CTR of 0.8% instead of the expected 3-5%, the analysis seems to indicate a matching error, when in reality it's the MSAN inventory polluting metrics with its 0.4% average CTR. Fix: uncheck Microsoft Audience Network on all Search campaigns, create dedicated Audience campaigns with native creatives. Separation makes per-channel CPC/CPM arbitrage coherent.

2. Putting all audiences in a single ad group. Diagnosis: a single ad group combining LinkedIn Industry + in-market audiences + remarketing + similar audiences. Result: impossible to identify which source generates conversions, bid optimization has no differentiating signal, CPA explodes on average. Fix: one ad group per audience source, with creatives and bids adapted to each persona. Minimum plan: 3 ad groups (LinkedIn ABM, remarketing engagement, lookalike).

3. Not excluding aberrant placements. Diagnosis: 60-70% of MSAN budget consumed on 5-10 partner placements showing CTR below 0.1% and zero conversions over 30 days. Fix: audit every 14-21 days the Audience Network > Reports > Placements report, exclude domains with CTR below the 30th percentile and zero conversions. Across the accounts observed in public Google Ads benchmarks, this discipline reduces MSAN CPA by 18 to 32% in 60 days.

4. Testing without active UET tag or with poorly mapped UET. Diagnosis: the MSAN campaign has run for 30 days, bid optimization shows no visible effect, CPA stays flat despite adjustments. Probable cause: missing UET tag, poorly mapped, or incorrect conversion goal (e.g., Page View instead of Form Submit). Fix: audit UET via the UET Tag Helper (Edge or Chrome extension) before any launch. Without reliable conversion signal, MSAN stays in learning indefinitely.

5. Under-budgeting the initial test and concluding too quickly. Diagnosis: an MSAN test at $11/day for 7 days, conclusion "MSAN doesn't work for us." But under the threshold of 30 conversions in 30 days, bid optimization can't converge and observed CPA is dominated by statistical noise. Fix: minimum budget $27-$33/day over a minimum 21 days for an initial test, and 60 days if the conversion cycle exceeds 14 days. Testing badly is guaranteeing a false negative and missing the channel's real potential.

For perspective on Google first-party audiences and their kinship with MSAN, also read our affinity, in-market, and custom audiences guide — the strategic logic transposes directly — see also Microsoft Advertising Research for more details.

Sources

Official sources consulted for this guide:

• about.ads.microsoft.com
• help.ads.microsoft.com
• about.ads.microsoft.com

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