Types of Google Ads: Search, Display, and Video Campaigns Compared
Google Ads offers multiple campaign types — Search, Display, Video, Shopping, P-MAX (Performance Max), Demand Gen, App, and Smart — and each of them differs significantly in terms of placements, targeting, billing model, and the objectives they are best suited for. Advertisers searching for "types of Google Ads" usually have three questions in mind: which one should I pick, how do Search / Display / Video really differ, and how do I measure results when I combine multiple types. This article organizes the Google Ads campaign types available in 2026, explains how the three main types (Search, Display, Video) compare, shows how to pick and combine types by objective / funnel / budget, and finally covers how Marketing Mix Modeling (MMM) helps measure each campaign type's true contribution in a cookie-restricted world — from a practitioner's perspective spanning both media buying and marketing strategy.
Google Ads is organized in a hierarchy: account → campaign → ad group → keywords / ads. Among these, the campaign level is where you decide where your ads show, with what objective, and to whom — so the choice of campaign type sets the direction for the entire account. When people talk about "types of Google Ads," they almost always mean the Campaign Type you select: Search, Display, Video, Shopping, P-MAX, Demand Gen, App, and so on. Each campaign type has its own placements, bidding options, billing model, supported ad formats, and targeting options, so picking a type that does not match your objective can produce very different results for the same budget.
As of 2026, the main campaign types you can select from the Google Ads UI are: (1) Search, (2) Display, (3) Video (YouTube), (4) Shopping, (5) App, (6) P-MAX (Performance Max), (7) Demand Gen, and (8) Smart. There are also vertical-specific types such as Hotel and Call campaigns. Since 2024, the former Discovery campaigns have been renamed and expanded into Demand Gen, and much of what was previously handled by Shopping and standard Display is gradually being absorbed into P-MAX. Below, we walk through the eight main campaign types used in day-to-day media buying, explaining the characteristics and best-fit objectives for each.
Search ads are text ads that appear at the top and bottom of Google search results in response to a user's query. They are the most iconic Google Ads campaign type and are sometimes simply called "search listings." Because ads are shown exactly when a user is actively typing queries like "CRM comparison," "accounting software recommended," or "types of Google Ads," you can reach high-intent users whose needs are already surfaced — making Search the workhorse of any conversion-focused Google Ads account.
Placements include Google Search, Google Images, and Google Maps, and can optionally extend to search partners. Billing is cost-per-click (CPC): you pay only when someone actually clicks, not on impressions. For bidding, you can use Manual CPC, Enhanced CPC, or smart bidding strategies like target CPA (tCPA), Maximize Conversions, Maximize Conversion Value, and target ROAS (tROAS) — leveraging Google's AI to optimize results.
Search ads are particularly powerful when the goal is conversions: lead forms, demo requests, e-commerce purchases, app sign-ups, and so on. If your product already has some brand awareness, or if you see branded search traffic, Search is the first campaign type to set up in both B2B and B2C. On the other hand, if your product is brand-new or defines a new category, there may not be enough search volume to build scale on Search alone. In that case, you need a hybrid design: use Video, Display, or Demand Gen to create demand first, then capture it with Search campaigns.
Display campaigns run banners and responsive display ads across the Google Display Network (GDN) — over two million websites, mobile apps, Gmail, and video partner inventory outside of YouTube. By serving visual ads (images, video, text, logos) to users while they browse other content, Display can reach potential buyers who have not yet started searching.
Placements span news media, blogs, entertainment sites, free apps, Gmail, and more, which makes Display great for broad reach. Targeting is rich: demographics (age, gender, household income), affinity categories, in-market segments, life events, custom audiences, topics, placements, remarketing lists, and customer match can all be layered. CTR is typically lower than Search, but CPC and CPM are usually cheaper, so Display is a versatile channel that works for both awareness and retargeting.
Display is a strong fit for brand awareness, traffic growth, retargeting lapsed visitors, and prospecting with lookalike or similar audiences. Retargeting, in particular, is one of the highest-ROI use cases and is almost always combined with Search and Shopping as part of a core setup. Visually-led verticals (fashion, food, travel, real estate, beauty) see strong results, and even B2B advertisers use Display for placement targeting on trade media or to drive whitepaper downloads.
Video campaigns run across YouTube and video partners. Available formats include skippable in-stream ads, non-skippable bumper ads (up to 6 seconds), in-feed video ads in YouTube search and watch pages, and vertical full-screen YouTube Shorts ads — each used for different objectives.
Billing depends on the format: in-stream uses CPV (cost-per-view, charged when a user watches 30+ seconds / to the end or clicks), bumper and outstream formats use CPM, and conversion-focused video action campaigns use auto-bidding such as tCPA or tROAS. Because video combines sight and sound, it's ideal for communicating product use cases, brand stories, case studies, or emotional appeals in a short time — making it useful across the upper and middle of the funnel, from awareness to consideration.
Video ads are strong for brand awareness, lifting branded search, explaining products, building a brand through emotion and storytelling, and launching new offerings at scale. They are used broadly across B2C lifestyle goods as well as B2B SaaS and enterprise products. In recent years, video action campaigns have matured enough to drive direct outcomes such as lead generation and e-commerce purchases. Video creative costs more than text ads, so video typically enters the mix when budget and production capacity are already in place.
Shopping ads appear on Google search results, the Shopping tab, Image search, YouTube, and Gmail as product cards that show the product image, title, price, merchant name, and reviews. You register a product data feed (title, price, inventory, image URL, etc.) in Google Merchant Center, and Google's AI automatically matches products to user queries.
Unlike plain text ads, Shopping puts product images and prices directly in the results, which tends to drive higher CTR and CVR — making it a backbone campaign type for e-commerce alongside Search. As of 2026, the common setups are either Standard Shopping combined with P-MAX, or going all-in on P-MAX using the same Merchant feed. Shopping is a great fit for e-commerce sellers with broad catalogs, competitive pricing, or strong review coverage.
App campaigns are designed to drive mobile app installs and in-app actions (purchases, sign-ups, tutorial completions, etc.). You upload creative assets (headlines, descriptions, images, videos) and set a target CPA/CPI, budget, geo, and language. From there, Google's machine learning automatically serves ads across Search, Google Play, YouTube, the Display Network, and AdMob, picking the best placements and audiences in real time — a true "AI-first" campaign type.
Manual keyword or placement targeting is generally not allowed; instead, the quantity and quality of your assets, the accuracy of your in-app event and conversion measurement, and your bidding setup (tCPA, tROAS) determine performance. For mobile-first businesses — games, fintech, e-commerce apps, social, streaming — App campaigns are one of the most efficient channels for installs and engagement.
Launched in 2021, P-MAX is a goal-based, cross-inventory campaign type that has become a core pillar of Google Ads in 2026. A single P-MAX campaign can run across Search, Display, YouTube, Gmail, Discover, Google Maps, and Shopping — essentially every Google inventory — and optimize for conversions across all of them simultaneously.
You provide creative assets (text, images, video, logos, and a Merchant feed for Shopping use cases) along with conversion goals, budget, and optional audience signals that hint at who your best prospects are. Google's AI then optimizes placements, creative combinations, audience expansion, and bids in real time to hit your conversion goal (CV volume, CV value, tCPA, or tROAS). P-MAX is increasingly replacing Standard Shopping and classic Display campaigns, and is now a primary lever for e-commerce, B2B, and service businesses alike.
A common criticism of P-MAX is that performance by placement, keyword, and audience is hard to inspect — it can feel like a black box. To get good results, focus on: (1) well-maintained negative keyword, placement exclusion, and brand exclusion lists, (2) accurate conversion value settings, (3) high-quality and diverse assets (images, videos, copy), (4) first-party data activation via Customer Match and CRM lists, and (5) thoughtful role-splitting and budget allocation between P-MAX and existing Search / Shopping campaigns. Accounts with deep conversion data tend to see the best P-MAX performance, because the AI has more signal to learn from.
Demand Gen campaigns serve image and video ads across SNS-like browse surfaces — YouTube feed, YouTube Shorts, Gmail Promotions, and Google Discover. Renamed and expanded from the former Discovery campaigns in 2024, Demand Gen gives more flexibility on placements and bidding strategies, positioning it as a serious competitor to Meta Ads and TikTok Ads for upper-funnel demand generation.
Demand Gen's strength is reaching people who have not yet searched but are likely to be interested in your product, using visual creative. Lookalike segments, custom segments, affinity, in-market, and life-event audiences are all available, making it easy to surface latent demand — similar in feel to SNS ads. It's a strong fit for new product launches, categories with low search volume, and brand building alongside Meta/TikTok. Pair it with Video campaigns on YouTube, and you can blanket the upper-to-middle funnel of awareness, interest, and consideration.
Smart campaigns are designed for SMBs and solo operators with little or no dedicated media buying capacity. You enter headlines, descriptions, a destination URL, geo, and a daily budget, and Google's AI handles almost everything else — placements, bidding, targeting, and creative matching — automatically.
The setup bar is very low, and you can be live in 10–15 minutes. The trade-off is reduced control compared to other campaign types, making fine-grained PDCA difficult. Smart campaigns fit situations like "we don't have a dedicated ads person and just want to try Google Ads," "we only have a few hundred dollars a month," or "we're a local business that needs simple geo-based lead gen." Once data and internal resources catch up, the natural progression is to migrate to Search, P-MAX, and Display campaigns for more sophisticated operations.
Among the many Google Ads types, the three used most often — and with the most different characteristics — are Search, Display, and Video. They differ significantly in placement, user state, billing, and role on the funnel, so they should not be run as isolated silos. Instead, design them from the start as complementary roles in a shared media mix.
Search targets active searchers — high-intent users in the moment of need. Display reaches people browsing content on other sites or apps — latent to semi-active audiences. Video reaches users watching YouTube. Because the user's state of mind is so different across these, the optimal creative, message, and call-to-action also differ: Search needs concise text that answers the query; Display needs eye-catching visuals and a clear benefit; Video needs a hook in the first five seconds followed by good storytelling.
Search is CPC-first, with CPA, CVR, ROAS, and impression share as the main KPIs. Display supports both CPC and CPM, and emphasizes CTR, site traffic, view-through conversions, CPM, and cost per reach. Video is mostly CPV/CPM, with metrics like view count, view-through rate, brand lift (awareness, favorability, purchase intent), and incremental branded searches. Using the wrong KPI is a classic mistake — for example, killing Video because "CPA is too high" can undercut the upper-funnel that Search itself depends on.
On the funnel, Video leads awareness and interest (top of funnel), Display covers interest and consideration (mid-funnel) plus retargeting, and Search dominates consideration-to-decision (bottom of funnel). Search is unrivaled at harvesting users about to convert, but by itself can't grow the size of the demand pool. Display and Video "till the soil" — they create demand, drive branded searches, and generate repeat site visits. Used together, they compound into more branded search, more return visits, and a higher overall CVR.
Common patterns in practice: (1) short-term CV focus — Search as the workhorse, Display retargeting to win back dropped visitors; the most standard setup. (2) New product or brand launch — Video plus Display to build awareness and interest, then ramp Search as branded searches grow; a demand-creation setup. (3) E-commerce — Search plus Shopping to harvest demand, P-MAX to sweep remaining inventory, and Video to acquire new fans; an integrated mix. (4) B2B / high-ticket services — Search plus YouTube brand video plus mid-funnel Display, designed around long, multi-touch sales cycles. In all of these, solo operation of a single type is out; clear role-splitting across a media mix is what separates the winners.
The most fundamental axis is "what is the campaign's objective, and what funnel stage is it covering?" Awareness → Video, Display, Demand Gen. Traffic → Display, Search. Lead gen → Search, P-MAX, Demand Gen. E-commerce purchases → Shopping, P-MAX, Search. Mobile app installs → App. Each campaign type has a clear sweet spot. When you need to pursue multiple goals at once, follow the "one campaign = one objective" rule and split campaigns explicitly so each has a clear job.
Which funnel stage your target audience is in also matters. High-intent / ready-to-buy (searching for branded or comparison keywords): Search, Shopping, branded-term campaigns. Semi-active (researching problem-related keywords): Search plus Display plus Video, multi-touch. Latent (not yet searching): Video, Display, Demand Gen. Diagnose which part of your customer journey is weakest and concentrate budget on the campaign types that cover that stage — this is how you get the most out of a limited budget.
Budget and internal resourcing are unavoidable practical axes. With a monthly budget in the low five figures and no dedicated operator, it's safest to start with a Smart campaign or a tight Search campaign focused on branded and top-priority keywords. With mid-six-figure budgets and a dedicated team, you can expand into a full media mix of Search, Display, Video, Shopping, and P-MAX to maximize LTV/CAC. The richer your creative production pipeline (image, video, Shopping feeds), the better you can leverage P-MAX, Video, Display, and Demand Gen — and the more the machine learning can work in your favor. Start small with Search, then scale into more campaign types as data and capacity grow; that's the standard progression.
Campaign types generally perform better when combined into a thoughtful media mix than when run in isolation, for the same budget. Running Search alone as a harvest-only account will eventually hit a ceiling as demand saturates and auction pressure pushes CPA up. Layering Video, Display, and Demand Gen on top lifts branded search, return visits, and organic traffic, and through that, drives down Search and Shopping CPA as well — a virtuous cycle.
A pattern that has become dominant in 2026: a base of dedicated Search, Shopping, and Video campaigns, with P-MAX layered on top to sweep any missed inventory. P-MAX's strength is full-inventory AI optimization; the weakness is fine-grained control over queries, branded terms, and placements — and those are handled better by dedicated campaigns. Holding the parts you care about in dedicated campaigns, then letting P-MAX pick up the rest, is a setup that works well across many accounts. Add Video and Demand Gen for awareness and Display retargeting for re-engagement, and you get a structure that can sustainably grow ROI across the whole funnel.
The more campaign types you run in parallel, the harder it becomes to fairly evaluate which type contributed how much. Looking only at last-click conversions in the UI over-credits harvest-style campaigns (Search, Shopping) and under-credits upper-funnel campaigns (Video, Display, Demand Gen) whose contribution is largely indirect. This leads to the classic trap: "Video CPA looks bad, so let's cut it" → months later, branded search and organic traffic drop → Search CPA deteriorates → the whole pipeline shrinks.
On top of that, iOS ATT, Android's Privacy Sandbox, and browser third-party cookie restrictions have been tightening, and view-through conversions and cross-device measurement have become structurally less accurate in 2026. Enhanced Conversions, the Conversion API (server-side measurement), and first-party data integrations are now baseline requirements — but even with those, user-level tracking alone is not enough to visualize each campaign type's true contribution, and a complementary approach is needed.
That complementary approach is Marketing Mix Modeling (MMM). MMM uses statistical models to estimate each channel's contribution from time-series data on media spend and outcomes like conversions, revenue, or branded searches — without relying on user-level tracking, which means it isn't affected by cookie restrictions, ATT, or cross-device issues. Using a cloud-native MMM platform like NeX-Ray, you can compare Google Ads Search, Display, Video, Shopping, P-MAX, and Demand Gen side-by-side, and extend the picture to Meta Ads, LINE Ads, X Ads, SNS, TV, and offline. The net result: you can quantitatively answer "which Google Ads types, at what budget, will maximize overall revenue or LTV?" — which is why MMM has become a must-have for media operations in the post-cookie era.
Google Ads campaign types include eight primary options — Search, Display, Video, Shopping, App, P-MAX, Demand Gen, and Smart — each with distinct placements, billing, strengths, and funnel roles. To get real performance out of Google Ads, avoid sticking to a single type: pick campaign types along three axes (objective and funnel, audience stage, budget and resources) and combine them into a media mix with clearly split roles.
The three most used types — Search, Display, and Video — differ in placements and user states and should never be run as isolated silos. In 2026, the most reliable pattern is: Search harvests high-intent demand, Display retargets and expands the mid-funnel, Video and Demand Gen create awareness and interest, and P-MAX backfills whatever the dedicated campaigns miss. For e-commerce, put Shopping at the core; for mobile apps, put App campaigns at the core; vertical-specific mixes work too.
However, as you add more campaign types, last-click reporting can no longer capture each type's true contribution — upper-funnel efforts get under-valued, and pipeline quietly shrinks over time. In 2026 and beyond, combining Google's Enhanced Conversions and server-side measurement with an MMM-based cross-media analytics platform like NeX-Ray — so you can quantify the contribution of Search, Display, Video, and other Google Ads types in one view — is the path to sustained ROI growth. Use this article as a checkpoint to choose and combine the Google Ads types that fit your business, and pair it with MMM-based measurement to build a media operation that holds up in the post-cookie era.
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