What is a realistic Apple Search Ads budget for a new app launch?

For a brand-new indie app with no organic momentum: $30-100/day for the first 30 days is typical. For a launch with marketing support and creative assets: $200-500/day. The right number is whatever lets you gather 1000+ taps over 30 days to make decisions on; budgets below $30/day produce too little data to optimize.

Should I run Today Tab or Search Tab campaigns at launch?

Generally no — first 30 days, focus 100 percent on Search Results placement. Today Tab and Search Tab are pre-search and require strong creative + larger budget to justify CPI. Once Search Results performance is stable (typically month 2-3), add Today Tab or Search Tab as supplementary placements.

When should I add Custom Product Pages?

Ideally have one CPP ready at launch — themed to your highest-volume Category keyword cluster. The default product page is acceptable for week 1; by week 2-3, having at least 1 CPP assigned to your Category ad group typically lifts CR by 10-25 percent.

New iOS App Launch on Apple Search Ads — A 7-Stage Checklist (2026)

TL;DR

The 7-stage launch checklist:

Extract App Store metadata — derive seed keywords from your own listing
Identify 5-10 direct competitors — competitive context for keyword selection
Discover and cluster keywords — 30-50 candidates across 4 clusters
Set initial bids at floor + 30% — buffer without overpaying
Build campaign structure — Brand + Category + Discovery with brand isolation
Allocate budget — Brand 10%, Category 40-50%, Discovery 15-25%
Run launch readiness checklist — final verification before launch

Done right, first-week CPI is typically 30-60% below untooled launches because the structure prevents common first-month mistakes.

Why launch structure matters so much

The first 30 days of an Apple Search Ads launch are disproportionately important:

Bid auction history accumulates per keyword (early bid mistakes carry forward)
Apple’s relevance scoring forms based on early performance
Custom Product Page assignment patterns get established
Your reporting baselines (CPI, CR, TTR) are set against this early data

A poorly structured launch creates technical debt that takes 60-90 days to clean up. A well-structured launch becomes the foundation for sustainable scaling.

Stage 1: Extract App Store metadata

Your App Store Connect listing is the starting source of truth:

Field	Extract
App name	Brand seeds
Subtitle	Brand + value-prop seeds
Keywords field (App Store Connect, 100 char limit)	Pre-curated category terms
First sentence of description	Implicit category descriptors

From “FocusFlow — Pomodoro Task Manager”:

Brand seeds: focusflow, focus flow
Category-core seeds: pomodoro, task manager, focus timer, productivity timer

Approximately 10-20 seed terms from your own metadata.

Stage 2: Identify 5-10 direct competitors

Two methods:

Method A: Category browse

Open your App Store category in the App Store. Top 20 organic-ranked apps include 5-10 direct competitors (similar feature set, similar target user).

Method B: Search overlap

Search your top 3-5 category-core seed keywords in the App Store. Apps that consistently rank in top 10 across multiple queries are your organic competitors.

For each competitor:

Add their brand name to a “Competitor” cluster (for potential brand defense / conquest)
Note their subtitle and visible keywords — sources for additional Category keywords

Stage 3: Discover and cluster keywords

Expand the seed list to 30-50 candidates organized into 4 clusters:

Brand cluster (3-8 keywords)

Your app name + obvious variants
Common misspellings
Compound forms (“appname app”, “appname pro”)

Category-core cluster (8-15 keywords)

Direct descriptors of what your app does
Singular and plural forms (“task manager”, “task managers”)
Synonym variants (“focus timer”, “concentration timer”)

Category-adjacent cluster (8-15 keywords)

Sub-vertical terms
Related categories where your app reasonably competes
Use-case-specific terms

Long-tail cluster (10-20 keywords)

Specific use-case phrases (“study timer for students”)
Compound queries with intent qualifiers (“free productivity app”, “offline note-taking”)

Total: 30-50 candidate keywords. Trim to ~30-40 for the initial launch (less is more in the first 30 days; expand later based on Search Term Report data).

Stage 4: Set initial bids at floor + 30%

Apple Search Ads dashboard shows a suggested bid range per keyword based on current auction activity.

Formula

Initial max CPT = Suggested low bid × 1.3

Why 1.3×?

1.0× (the floor itself) — you barely enter the auction; you’ll get minimum-position impressions
1.3-1.5× — comfortable position with auction headroom
2.0× and above — overpaying for early launch (you don’t know CR yet to justify premium bids)

Per-cluster bid pattern

Cluster	Bid level
Brand	Floor + 50% (Brand should always win)
Category-core	Floor + 30% (competitive but justified)
Category-adjacent	Floor + 20% (exploration mode)
Discovery	Floor + 10% (lower bid, broader exploration)
Long-tail	Floor + 20% (cheap exploration)

Stage 5: Build campaign structure

One campaign per storefront. Inside the campaign:

[Storefront] Campaign
├── Brand ad group
│   ├── Match type: Exact
│   ├── Keywords: Brand cluster (3-8 keywords)
│   ├── Bid: Floor + 50%
│   ├── CPP: Default (or branded CPP if available)
│   └── Search Match: DISABLED (Brand should be tightly controlled)
│
├── Category-core ad group
│   ├── Match type: Exact
│   ├── Keywords: Category-core cluster (8-15 keywords)
│   ├── Bid: Floor + 30%
│   ├── CPP: Category-themed (build if not ready)
│   ├── Search Match: DISABLED
│   └── Negatives: Brand name (isolation)
│
├── Category-adjacent ad group (optional, can fold into Discovery)
│   ├── Match type: Exact
│   ├── Keywords: Category-adjacent cluster
│   ├── Bid: Floor + 20%
│   ├── CPP: Default
│   ├── Search Match: DISABLED
│   └── Negatives: Brand name
│
└── Discovery ad group
    ├── Match type: Broad
    ├── Keywords: Category-core seeds (re-used in Broad)
    ├── Bid: Floor + 10%
    ├── CPP: Default
    ├── Search Match: ENABLED
    └── Negatives: Brand name + irrelevant categories

Critical: Brand isolation

Every non-Brand ad group must have your own brand name as a Negative. Without this, Search Match in Discovery and Broad in Category-core will match your brand intent at their higher bid level — inflating CPT and stealing from the Brand ad group.

Stage 6: Allocate budget

Split Daily Cap across ad groups according to expected conversion characteristics:

Ad group	Budget share	Why
Brand	10%	Cheap, high CR — small allocation captures all brand intent
Category-core	40-50%	Highest-volume acquisition driver
Category-adjacent	15-20%	Expansion bet
Discovery	20-25%	Exploration, capped tight

Example: $50/day launch budget

Brand: $5/day (typically only consumes $2-3 even uncapped)
Category-core: $22/day
Category-adjacent: $8/day
Discovery: $15/day
Total: $50/day (with $0 cushion for unused Brand budget)

Stage 7: Launch readiness checklist

Before flipping the switch:

Configuration

All keywords have bids above their floor (verify in dashboard)
Brand isolation negative is in place on all non-Brand ad groups
No keyword appears in multiple ad groups
Search Match is disabled on Brand and Category-core ad groups
Daily Cap matches your monthly budget intent (× ~30 days)
Audience refinements left at default (no over-targeting at launch)
Campaign start date and end date (or no end date) are correct

Assets

App rating is ≥3.5 (below this, TTR suffers; consider delaying launch until early reviews lift it)
App icon is finalized and submitted to App Store Connect
At least one Custom Product Page is built or queued for week 2 assignment
App Store description has been recently updated (last 30 days)

Measurement

Ad Services API attribution is implemented in the app (or planned for first patch)
Analytics tracking is in place for downstream events (purchase, retention)
You know what monthly metric defines launch success ($X CPI, Y installs, Z LTV)

What to do in the first 30 days

Once launched, the recurring rituals:

Daily (first 7 days)

Check pacing across all ad groups
Spot-check CPI on Brand and Category-core
Watch for “Bid too low” warnings

Weekly (after first 7 days)

Search Term Report mining (15-30 min):
- Add zero-conversion negatives (taps ≥20, installs = 0)
- Flag Discovery promotion candidates (taps ≥100, CR ≥40%)
Bid adjustments on top 5 keywords if needed
Review CR trends per ad group

Month 1-end review

Promote top Discovery winners to Exact match in dedicated ad groups
Build first Custom Product Page if not already done
Decide on Today Tab / Search Tab expansion (only if Search Results is stable)
Set Daily Cap for month 2 based on observed CPI

How ASAPilot helps

ASAPilot’s Campaign Launch Pipeline runs through these 7 stages interactively — accepting an App Store URL as input and walking you through metadata extraction, competitor identification, keyword discovery, bid setting, structure proposal, budget allocation, and the readiness checklist. Total time: ~90-120 minutes for a first launch.

See the new app launch case study for a worked example, or pricing for plan tiers (Launch Pipeline is available on the free tier for first-launch use).