Apple Ads Targeting in 2026: The WHICH SEARCH and the WHICH PERSON

Apple Ads (formerly Apple Search Ads, rebranded April 14, 2025) targeting answers two different questions, and the clearest mental model keeps them apart. Keyword targeting decides which search queries can trigger your ad — broad match, exact match, Search Match, and negative keywords. Audience refinements decide which people are eligible once a query matches — customer type, age, gender, device, and location. The first is the WHICH SEARCH; the second is the WHICH PERSON. Every thin glossary page lists “targeting options” in a flat menu; the WHICH SEARCH × WHICH PERSON split is the structure those pages never gave, and it is the spine of this pillar.

The first correction a new Apple advertiser needs is structural: of the four App Store placements, only Search results campaigns use this keyword and ad-group machinery. The Search tab is a single bid with no keywords, product-page ads are category-targeted with no keywords, and the Today tab is a creative buy. So the whole of this pillar lives inside one placement. New to the platform? Start with what Apple Ads are — the rebrand, the four App Store surfaces, and how the system fits together — then see Apple Ads placements and ad types for which surfaces do and do not take keywords. Source: Apple Ads Help, “Ad Placement Options.”

Table 1 maps the two halves — what each layer decides, the controls it exposes, and where it lives. Read the rest of this guide as a walk through the WHICH SEARCH controls first (match types, then Search Match, then negatives), then the WHICH PERSON refinements, then the recommended ad-group structure and the bidding modes that sit on top of both.

The Keyword-Targeting Decoder: Match Types, Search Match & Negatives

Apple Ads has exactly two keyword match types: broad match (the default) and exact match, written [keyword] in brackets. There is no phrase match — that is a Google Ads concept that does not exist on the App Store. The trap inside that trap is that “exact match” is not literal: Apple’s exact match still serves on plurals, misspellings, word rearrangements, and translations deemed close by Apple’s systems. Broad match (the default) stays thematically tighter than the wide-open broad a Google advertiser expects — it serves on closely related terms, synonyms, and trending queries within the theme.

Two of the four rows in Table 2 are actual match types. The other two are different kinds of control entirely: Search Match is an automated setting (covered in full in its own section below), and negative keywords are a filter that defaults to exact, supports broad, and runs up to 5,000 per ad group. Because exact match is not a literal-string filter, negative keywords still matter even on an all-exact ad group — treating exact as literal is what leads advertisers to skip negatives and then wonder why irrelevant variants are spending. Source: Apple Ads Help, “Use Negative Keywords.”

At MB Adv Agency, we structure Apple Ads keyword targeting by naming the live-versus-dead vocabulary boundary first: a brief that asks for “phrase match” or “smart bidding on exact” is reaching for controls Apple never built, and that precision — two match types, exact is not literal, the [keyword] bracket syntax — is what earns trust with platform-literate readers. The same discipline anchors the work of PPC campaign management, where keeping the Apple-not-Google rules straight is half the setup.

What Apple Ads Advertisers Actually Search For

Two terms tie at the top of this cluster at 150 US monthly searches each (Ahrefs, June 2026): “apple search ads keywords” (KD 7, $6.00 CPC) and “search match” (KD 29, $1.20 CPC). There is no single dominant head term. The match-type decoder query, “apple search ads match types,” runs 90/mo. Combined US volume is modest at 390 a month, but the composition is the point — the cluster spans practical keyword research, the most misunderstood control on the platform, and the Google-to-Apple vocabulary correction.

“search match” carries the hardest difficulty in the cluster (KD 29) for a reason: the absorbed page this pillar is built to preserve already ranks in the high single digits for it, and that position has to transfer to this pillar through the redirect and the id="search-match" anchor below. The $6.00 CPC on “apple search ads keywords” signals app developers willing to pay for the answer — the commercially serious end of the cluster, the natural fit for an audience of SaaS and software advertisers. Both head terms show an exact 2-to-1 global-to-US ratio, consistent with Apple Ads operating across 91 countries, so the page is written for a US advertiser without losing international relevance.

The chart sorts the three cluster terms by US monthly volume. The strategic read is to serve all three entry points — the keyword researcher, the Search Match learner, and the match-type decoder — while routing every reader toward the WHICH SEARCH × WHICH PERSON framework and the Apple-not-Google corrections that the thin absorbed pages never made.

Search Match: The Automated Setting That Is Not a Match Type

Search Match is the most misunderstood control in Apple Ads, and getting it exactly right is the whole credibility play. Advertisers routinely list “Search Match” alongside broad and exact as if it were a third match type. It is not. Search Match is an automated matching setting that runs with no keywords at all, matching your ad to relevant searches using three resources: your App Store listing metadata, similar apps in your genre, and other search data. It is the engine that finds searches you would never have thought to bid on.

Three facts decide how to use it. First, it runs in Search results campaigns only — not the Search tab, Today tab, or product pages. Second, it is default-on in Manage Bids (manual) campaigns, a toggle you can switch off, and always-on and locked in the Maximize Conversions automated ad group, where you cannot disable it. Third, the disciplined move is to isolate it in a dedicated discovery ad group — broad match plus Search Match on, no manual keywords — let it mine search terms, then graduate the winners into your exact-match Brand, Category, and Competitor ad groups. Source: Apple Ads Help, “Understand Search Match.”

At MB Adv Agency, we structure Apple Ads keyword targeting by treating Search Match as a discovery engine, not a match type: it belongs in its own ad group doing the job it is built for — surfacing intent the keyword list missed — while the manual exact ad groups carry the high-intent terms it graduates. Calling it a “match type” misses both what it is and where you do and do not control it. For how to read the discovery output, set graduation cadence, and tune for international markets and seasonality, see optimizing Apple Ads campaigns.

The impressions chart shows why this section is the spine. Among the absorbed pages, the Search Match page carried the most search-engine visibility (739 impressions over 90 days, the cluster’s most-clicked asset), the audience page held a 640-impression toehold, and the conquest page a smaller footprint. This pillar consolidates all three, so the Search Match treatment is built to be a real, standalone answer to “what is Search Match” — precisely correct on “setting, not match type” — not a one-liner.

Audience Refinements: The WHICH-PERSON Layer

Audience refinements decide who is eligible once a query matches, and they look like free reach. The demographic ones are the opposite. Applying any age or gender refinement automatically excludes every customer who has Personalized Ads turned off — and a Search Engine Land estimate puts that at about 78% of iOS 17+ App Store search volume. So a demographic filter can cut your eligible reach by roughly three-quarters before it narrows anything useful. Attribute that 78% to Search Engine Land, not Apple.

The refinements that are genuinely cheap to apply are the structural ones: customer type (All Users, New Users, Returning Users, and Users of My Other Apps), device (all, iPhone-only, or iPad-only, with per-device bids), and location (within about 30 supported countries), plus the hard floor that any audience must exceed 5,000 customers to serve. A critical naming point: Apple has no custom segments, custom audiences, or lookalikes — the audience model is customer types plus demographics plus device plus location. Do not import that Google or Meta vocabulary. Sources: Apple Ads Help, “Modify Audience Settings” and Search Engine Land.

Apple’s own guidance points the other way: match creative to search intent, not audience profiles — the search terms people enter are the strongest signals of intent. At MB Adv Agency, we reach for customer-type and device refinements freely, reach for age and gender almost never, and let the keyword and Search Match layers do the targeting. This is the audience-refinement discipline behind a clean B2B PPC build, where tightly-themed exact-match keyword sets — not demographic filters — carry the prospecting weight.

Negative Keywords: Negative Exact vs Negative Broad

Negative keywords are the filter half of the WHICH SEARCH layer, and Apple’s model is not Google’s three-way one. Negatives default to exact match, broad is supported, you set them at the campaign or ad-group level, and you can add up to 5,000 per ad group. The behavior difference between the two negative types is where advertisers leak budget.

A negative exact keyword blocks only that specific term and its close variants — so negative exact “photo editor” does not block “best photo editor.” A negative broad keyword blocks any search that contains all of its words — so negative broad “photo editor” blocks “best photo editor app.” That is the lever for excluding a whole theme versus surgically removing one query. And because exact match is not literal, negatives still matter on an all-exact ad group: the close variants exact match serves on are exactly what a tight negative list keeps clean. Source: Apple Ads Help, “Use Negative Keywords.”

The everyday work of building and pruning these negative lists — campaign-level negatives for cross-ad-group exclusions, ad-group-level negatives for theme separation, and a steady graduation of wasted search terms into negatives — is the core of PPC campaign management, and it is the part of an Apple Ads build that pays for itself fastest.

The Four Keyword-Theme Ad Groups: Brand, Category, Competitor, Discovery

Apple recommends organizing Search results campaigns into four ad-group types by keyword theme, and the structure is the backbone of a disciplined account. Brand holds your own app and company terms on exact match to defend your name at the cheapest, highest-intent cost. Category holds the non-brand genre terms that describe what your app does, also exact, to capture in-market demand. Competitor holds one rival per ad group on exact match. Discovery holds no manual keywords at all — broad match plus Search Match on — to mine new terms.

The three intent-driven groups (Brand, Category, Competitor) run exact match with Search Match off, because their job is to serve known, high-value terms cleanly. The Discovery group runs the opposite configuration — broad match with Search Match on — because its job is to find terms the keyword list missed. The loop that ties them together is graduation: the high-intent searches Discovery surfaces move into the exact Brand, Category, and Competitor groups, and the wasted ones become negatives. Sources: Apple Ads Help, “Structure Campaigns” and “Campaign Structure” best practices.

This structure is the natural starting point for an app business, which is to say a software business — the closest service fit for an App Store advertiser. The cost consequence of the choices in this table (exact and competitor keywords command higher bids than broad or Search Match) belongs to the cost pillar; for the cost-per-tap mechanics, the second-price auction, and the CPA cap, see how much do Apple Ads cost.

Manage Bids vs Maximize Conversions: Manual and Automated Bidding

Since February 2026, Search results campaigns choose between two strategies at setup: Manage Bids (manual) and Maximize Conversions (automated). The correction that matters most here is that Maximize Conversions is bidding automation, not a new audience capability. It combines Search Match, an auto-bidder, and a target CPA in a locked Automated Ad Group — it does not unlock any targeting you could not otherwise reach.

With Manage Bids, you set max CPT bids, add broad and exact keywords plus negatives, keep full audience control per ad group, and Search Match is default-on but switchable. With Maximize Conversions, the auto-bidder works to a weekly target CPA, the Automated Ad Group takes no manual keywords and has Search Match locked on, and Apple’s guidance is to leave that ad group unrestricted — every audience restriction slows the learning — with a budget that allows at least five conversions a day. Sources: Apple Ads Help, “Maximize Conversions” best practices and PPC Land for the February 25–26, 2026 general-availability rollout.

The practical read: Manage Bids is for hands-on control, brand and competitor defense, and mature accounts; Maximize Conversions is for scale, discovery, and simpler management against a target-CPA goal. For how to read the Recommendations surface, tune the automated ad group, and decide when to graduate an account from manual to automated, see optimizing Apple Ads campaigns.

Keyword Discovery: Suggestions, Recommendations, and the Popularity Index

Finding the right keywords on Apple Ads draws on four sources, and the platform does much of the work. The in-console keyword suggestion tool proposes terms (and a relative popularity signal) as you build an ad group. The Recommendations surface serves keyword, bid, target-CPA, and budget recommendations at the account level. Search Match mines searches you did not bid on. And the keyword popularity index gives a relative read on demand.

One precision point on popularity: Apple’s own pages describe it only as a signal “based on App Store searches.” Third parties describe a 1–5 in-tool scale, and an older 0–100 score is deprecated — so any specific numeric scale belongs to a third party, not to Apple. The honest framing is that popularity is a relative demand index, useful for ranking candidate terms against each other, not an absolute search-volume figure. Source: Apple Ads Help, keyword best practices.

Discovery is a loop, not a one-time research task: the suggestion tool and Search Match feed candidate terms in, the Recommendations surface flags bid and budget moves, and the winners graduate into the exact Brand, Category, and Competitor ad groups. The cadence of that loop — how often to mine, when to graduate, and how to read the Recommendations — is the optimization playbook covered in optimizing Apple Ads campaigns.

Competitive Conquest: Bidding on Rival App Keywords Is Allowed

A persistent myth is that you cannot bid on a competitor’s app name on the App Store. You can. Apple permits bidding on competitor brand keywords. The trademark restriction is on your own app’s metadata and creative — under App Store Review Guideline 2.3.7 you cannot put a competitor’s trademark in your app name, your keyword field, or your ad copy — not on your bids. A competitor can in rare cases file a claim with Apple to block bids on their term, but the default is that conquest is allowed.

“Allowed” is not “easy money,” though. Competitor keywords carry structurally worse unit economics: a higher cost-per-tap (you are bidding against the brand owner), a lower tap-through rate (the user searched for them, not you), and a lower tap-to-install rate (they want the other app). At MB Adv Agency, we structure Apple Ads keyword targeting so that conquest is a deliberate, contested play, not a default: isolate each competitor in its own exact-match ad group paired with a Custom Product Page that frames you as the alternative. Sources: RocketShip HQ and Apple App Store Review Guideline 2.3.7.

Conquest sits at the intersection of three pillars, so this page names it and points outward. The Custom Product Page that makes a conquest ad group work — and the trademark and creative-policy detail — live in Apple Ads creative and ad policies. The cost consequence of bidding against a brand owner belongs to how much do Apple Ads cost. And for B2B, productivity, and developer-tool apps, competitor-conquest ad groups paired with tight exact-match sets are the core of an App Store prospecting build — the work of a B2B PPC agency.

Layering the Two Layers: How Keyword Targeting and Refinements Combine

Layering is the whole point of the system, and it narrows by intersection: a served ad needs a matched search AND an eligible person. Keyword targeting decides the search; audience refinements decide the person. Add a refinement to an ad group and you shrink the eligible audience — which is why the order of operations matters and why the demographic refinements are the ones to leave alone.

1. Pick the keyword layer first. Decide which searches should trigger the ad — exact for known high-value terms, broad plus Search Match for discovery — before touching any audience refinement.
2. Reach for the cheap refinements freely. Customer type and device narrow the person at no reach cost; use them where they sharpen the build.
3. Reach for age and gender almost never. Each one excludes every Personalized-Ads-off user — about 78% of search volume by a Search Engine Land estimate — so a demographic filter can gut reach before it focuses anything.
4. Respect the 5,000-customer floor. An audience must exceed 5,000 customers to serve; a tighter refinement that drops below the floor delivers nothing.
5. Let the keyword and Search Match layers do the targeting. The searches people type are stronger signals than the profiles they fit — match creative to search intent, not demographics.

The footprint chart shows the query diversity each absorbed page brings into this pillar: the audience page contributed the widest range of refinement queries (64 keywords), the Search Match page a tighter but higher-intent set (30 keywords), and the conquest page a narrow one (14 keywords). Serving all three footprints — through the search-match, audience-targeting, and conquest sections — is how the consolidated page retains the combined ranking surface. At MB Adv Agency, turning the match-type, Search Match, negative, refinement, and conquest controls into one disciplined Brand / Category / Competitor / Discovery structure is exactly the work of PPC campaign management; for cross-channel app advertisers also running Google App campaigns, the same rigor extends across our wider PPC services.

What Changed in 2026: Maximize Conversions, Inline Search, and Rising Automation

Apple restructures its ad product constantly, and three 2026 changes reshape how targeting behaves — each worth auditing because the platform can shift delivery without an advertiser touching a setting. The pace is the reason naming precision matters: training-data drift on Apple’s ad product is measured in months, so the durable skill is checking the live dashboard rather than trusting a year-old guide.

The Maximize Conversions rollout is the headline targeting change: it puts Search Match, an auto-bidder, and a target CPA into one locked ad group, which reframes the whole manual-keyword workflow for advertisers who opt into it. The inline-search expansion is the quiet one — more sponsored positions appear further down the results, existing campaigns auto-enroll, advertisers cannot pick or separately bid for the new slots, and billing is unchanged. Because that change is about where ads serve, the full placement detail lives in Apple Ads placements and ad types. Source: PPC Land and Apple Ads Help, “Maximize Conversions” best practices.

The throughline across all three is that automation is absorbing manual targeting controls. The advertiser’s job shifts from setting every bid and keyword to seeding clean structure, accurate conversion signals, and disciplined negatives, then auditing the automated layers — the optimization posture covered in optimizing Apple Ads campaigns.

How to Structure Apple Ads Keyword Targeting

A reliable Apple Ads Search-results build follows a fixed order: defend the brand, capture the category, contest competitors, mine for discovery, filter with negatives, refine the audience sparingly, and graduate the winners. Building in that sequence keeps the WHICH SEARCH and WHICH PERSON layers from colliding and stops the two most common failures — a demographic filter that quietly guts reach and a Discovery group whose winners never graduate.

1. Build a Brand ad group. Your app and company terms on exact match, to defend your name at the cheapest, highest-intent cost.
2. Build a Category ad group. Non-brand genre terms that describe what your app does, on exact match, to capture in-market demand.
3. Build a Competitor ad group. Rival terms on exact match, one competitor per group, paired with an “alternative” Custom Product Page. Bidding is allowed — just keep your metadata clean of their trademark.
4. Build a Discovery ad group. Broad match plus Search Match on, no manual keywords, to mine searches you did not bid on.
5. Add negative keywords. Default exact, broad where you need to block a phrase — even on exact ad groups, because exact is not literal.
6. Set audience refinements sparingly. Customer type and device freely; age and gender almost never, because each excludes about 78% of search volume.
7. Graduate the winners. Move the high-intent terms Search Match and broad surface into your exact Brand, Category, and Competitor groups, and feed the losers into negatives.

At MB Adv Agency, we run this sequence as a checklist on every Apple Ads build, because the order is what prevents the silent failures. For B2B and developer-tool apps, the Competitor and Category groups carry most of the weight — the core of our B2B PPC work — and the place to start is a quick consult about the right searches, the right people, and the right automation for your account.

Apple Ads Targeting & Keywords FAQ

Methodology

This pillar consolidates five absorbed Apple Ads glossary pages (mastering-keyword-targeting-in-apple-ads, audience-targeting-in-apple-ads-what-you-need-to-know, what-is-search-match-in-apple-ads, leveraging-search-match-automation-in-apple-ads, running-competitive-conquest-campaigns-on-apple-ads). Every match type, setting, refinement, ad-group type, bidding mode, and conquest rule is sourced from Apple’s own help documentation, verified June 30, 2026: Understand Match Types, Use Negative Keywords, Understand Search Match, Modify Audience Settings, Structure Campaigns, and Maximize Conversions best practices. The about-78% Personalized-Ads-off figure is a Search Engine Land estimate, attributed to Search Engine Land and never to Apple; the competitive-conquest economics are from RocketShip HQ; the Maximize Conversions rollout date is from PPC Land. Search volume and CPC data: Ahrefs, June 2026. GSC data: Google Search Console, project 8261895, 90-day window April 1 to June 29, 2026. No mbadv client metrics are used — mbadv has no Apple Ads client benchmark dataset, so the agency point of view stays qualitative. Reviewed by MB Adv Agency, June 2026.