Pre-Spend Ad Intelligence Playbook

Executive Summary

Pre-spend ad intelligence is not a tour of ad libraries. The operator's job is to form a testable launch hypothesis, rank competitor evidence by confidence, reject tactics that do not survive the unit-economics gate, and convert the surviving patterns into a Day 1 creative and campaign plan.

Primary Users Portfolio founders, growth leads, and Transcend advisors planning first paid UA tests.

Also Allowed Approved guide-access users because examples are generic and competitor-facing.

Not Here Company-specific spend plans, private benchmarks, fund data, or raw portfolio metrics.

Source Freshness

Reviewed May 20, 2026 against official platform documentation and public vendor pricing pages. Tool prices and platform surfaces change; treat prices as planning ranges and verify on vendor pages before purchase.

0. The Core Framework: Hypothesis-Led Research

Before diving into any platform, define what you're trying to learn:

The Three Questions

1. What pain points does my audience have? (Demand signals)
2. How are competitors positioning against those pain points? (Supply signals)
3. Where is the gap between what the audience wants and what competitors deliver? (White space = your Day 1 advantage)

The Evidence Hierarchy

Not all signals are equal. Rank what you find:

Signal	Confidence	How to Detect
Validated Winner	Very High	Same creative running 60+ days on Meta AND migrated to TikTok/YouTube
Active Winner	High	Running 30-60 days + high variant count (5+ versions)
Active Test	Medium	Running <14 days, multiple variants, frequent rotation
Zombie Ad	Low	Running 60+ days BUT no variants, low frequency, stale copy
New Launch	Unknown	<7 days, single variant — too early to read

The Cross-Platform Migration Signal (Highest Confidence)

The single most valuable pre-spend signal: Track when a creative moves across platforms.

Migration Path	What It Tells You
Meta → TikTok	Winner validated on broad audience, adapting to native format
TikTok → Meta	Viral concept being scaled with paid budget
Meta → YouTube	Winner moving to longer-form storytelling
Any → Apple Search Ads screenshot	Message tested on social, now used in App Store

1. Meta (Facebook / Instagram)

Tools

Tool	Cost	Use For
Meta Ad Library	Free	Primary research — all active ads, any advertiser
Foreplay / MagicBrief	Paid tiers; verify current plan	Save ads to permanent vault (critical — competitors delete winners to hide them from scrapers)
AdSpy / PowerAdSpy	Paid	Archived creatives beyond Meta's 90-day window

URL: facebook.com/ads/library

What You Can See

Evidence Type	What It Tells You
Ad inventory	Active ads visible for a searched advertiser or topic.
Creative details	Copy, visuals, video, carousel, and collection format choices.
Runtime	Start date and current active/inactive status where available.
Placement clues	Platform surfaces such as Facebook, Instagram, Messenger, and Audience Network.
Variant clues	Multiple visible versions of a concept that may indicate active testing.

Research Workflow

Step	Action	Output
1	Build a watch list of direct and aspirational competitors.	Named advertiser set.
2	Search each brand name in the official library.	Current visible ad catalog.
3	Search product keywords such as "puzzle game" or "RPG".	Unknown competitor set.
4	Filter by country and platform where the tool supports it.	Market-entry and placement clues.
5	Save evidence to a durable vault or spreadsheet.	Reviewable weekly creative history.

Winner Identification (Multi-Signal Approach)

Don't rely on duration alone. Score each ad on multiple signals:

Signal	Weight	How to Assess
Duration (days active)	25%	60+ days = validated
Variant count	25%	5+ versions = active optimization
Format consistency	15%	Same format repeated = proven format for category
Cross-platform presence	25%	Same concept on TikTok/YouTube = highest confidence
Frequency of appearance	10%	Appears across multiple searches = broad targeting (big budget)

Creative Extraction Template

For each winner, capture:

Element	What to Note	Why It Matters
Hook (first 3 sec / headline)	Emotional trigger, question, stat, shock, loss-aversion, curiosity gap	Hook determines 80% of ad performance
Visual style	UGC vs. polished, gameplay vs. lifestyle, color palette, text overlays	Establishes category norms
Audio (video ads)	Voiceover gender/tone, music genre, sound effects, trending sounds	Audio drives completion rate on social
CTA	"Play Now" vs. "Download Free" vs. "Try It" vs. deep link	CTA impacts conversion rate 10-30%
Copy length	Short punchy vs. long-form testimonial vs. no copy	Platform norms differ
Offer/angle	Feature-led vs. emotion-led vs. social-proof-led vs. FOMO	Core messaging strategy
Ad format	Static, video, carousel, collection, playable	Format allocation signals what converts
Landing destination	App Store, custom product page, website, in-app deep link	Full funnel intelligence

Advantage+ & Automation Detection

Signs of Advantage+ usage:

• Broad, generic copy with no specific targeting language = likely AI-optimized
• High volume of slight variations (auto-generated by Meta's creative AI) = Advantage+ Creative enabled
• Multi-advertiser ads = Meta bundling advertiser with others in same placement

Limitations

2. Google (Search, Performance Max, YouTube, Display)

Tools

Tool	Cost	Use For
Google Ads Transparency Center	Free	All Search, Display, YouTube ads — no login required
Google Keyword Planner	Free (with Ads account)	Volume, CPC, suggestions — note: ranges are vague without active spend
Google Trends	Free	Relative interest, geo distribution, seasonal patterns
Google Ads Reach Planner	Free (with Ads account)	Forecast de-duplicated reach across YouTube + Display pre-spend
SpyFu	Paid tier; verify current plan	Historical competitor keyword bids, ad copy archive
SEMrush	Paid tier; verify current plan	Keyword gap analysis, competitor ad copy, traffic estimates
Ahrefs	Paid tier; verify current plan	Keyword difficulty, organic vs. paid overlap, Site Explorer
SimilarWeb	Free tier	Traffic sources, audience overlap, referral paths
VidIQ / TubeBuddy	Free tiers	YouTube tag intelligence, comment sentiment, trending topics

Research Workflow — Search Ads

Step	Action	Output
1	List 20-30 terms the audience would search.	Seed keyword set.
2	Expand seeds in Keyword Planner or a paid keyword tool.	Keyword universe with rough volume/CPC ranges.
3	Classify terms by intent.	Informational, commercial, transactional, and navigational buckets.
4	Sort by estimated CPC and advertiser density.	Competitive-intensity map.
5	Review live SERPs for the highest-priority terms.	Messaging themes, CTAs, extensions, and advertiser count.
6	Mine long-tail sources such as autocomplete, PAA, Reddit, and category forums.	Audience-language candidates.
7	Run competitor keyword-gap checks.	Terms competitors bid on that you have not considered.

Intent Bucket	Example	Use
Informational	"how to improve aim in FPS games"	Top-of-funnel content and pain language.
Commercial	"best puzzle games 2026"	Comparison and consideration messaging.
Transactional	"download Royal Match"	Install-intent and conquest math.
Navigational	"[competitor brand name]"	Brand defense or conquest opportunity.

Research Workflow — Performance Max (PMax)

What you can still learn:

Visible Signal	Decision Use
Mixed-format ads	Infer that a competitor may be using automated campaign surfaces.
Asset types	Catalog headlines, descriptions, images, videos, and logos.
Landing destinations	Compare custom landing pages, app-store pages, and deep links.
Rotation patterns	Identify assets that persist long enough to merit testing.

PMax-specific research:

Step	Action
1	Search competitor domains in the Transparency Center.
2	Catalog visible text, visual, and video assets.
3	Track which assets persist across weekly checks.
4	Check whether video assets are part of the visible mix.

Research Workflow — YouTube

Step	Action	Output
1	Pull competitor video ads from the Transparency Center.	Visible video-ad set.
2	Analyze channel tags, comments, and topics with YouTube research tools.	Audience-language and topic map.
3	Read top comments on competitor videos.	Ad-copy hooks in real user language.
4	Map video structure from hook to CTA.	Reusable video story architecture.
5	Forecast reach before spending.	Budget and audience-size sanity check.

3. TikTok

Tools

Tool	Cost	Use For
TikTok Creative Center	Free	Top ads dashboard, keyword insights, trend discovery
TikTok Creative Challenge (TTCC)	Free to browse	See what creators are being paid to make — pre-trend signals
Foreplay / MagicBrief	Paid tiers; verify current plan	Cross-platform ad vault

URL: ads.tiktok.com/business/creativecenter

Research Workflow

Step	Action	Output
1	Filter Top Ads by category and region.	Comparable creative sample.
2	Score the top visible ads by hook, pacing, audio, overlay, duration, and CTA.	Creative-pattern matrix.
3	Use Keyword Insights for repeated ad-copy phrases.	Candidate conversion language.
4	Separate emerging trends from already-saturated trends.	Freshness and timing read.
5	Review creator briefs where available.	Pre-ad creative direction clues.
6	Mine organic posts that triggered download or purchase language.	Spark Ad or UGC test candidates.

Winning Creative Patterns (2026)

Pattern	Signal to Check	Category Fit
UGC-style people	Does it create trust without hiding the product?	Broadly useful, but verify by product.
Fast hook	Does the first moment establish the problem or reward?	Useful for scroll feeds.
Creator-led proof	Does the creator add credibility or only production cost?	Mid-funnel and consideration.
Boosted organic	Does organic engagement convert to paid intent?	Only for proven organic content.
Action overlay	Does the CTA match the landing or store page?	Bottom-funnel.
Short-form narrative	Does the asset reach a clear product action quickly?	Broadly useful, test duration.
Problem-solution narrative	High intent capture	App/game installs

Creative Velocity Intelligence

Metric	What to Measure	How to Use It
Creatives per month	Total new ads launched.	Classify whether a competitor is testing or scaling.
Creative lifespan	Days before retirement.	Estimate refresh requirements for your own launch.
Variant ratio	Variants per concept.	Separate winning concepts from one-off experiments.
Format split	Video vs. static vs. playable.	Prioritize production formats by category evidence.

4. Apple Ads (formerly Apple Search Ads)

Tools

Tool	Cost	Use For
Apple Ads dashboard	Free (with account)	Search popularity scores (1-100), suggested keywords
App Store auto-complete	Free	Apple's own keyword suggestions
AppTweak	Free Starter	Keyword suggestions, competitor visibility, download estimates, CPP analysis
MobileAction	Limited free	Competitor keyword strategies, estimated budgets, impression share
SplitMetrics	Free trial	Creative A/B testing for App Store pages, CPP optimization
Sensor Tower / data.ai	Enterprise quote	Full creative gallery, keyword analytics, CPI forecasts

Research Workflow

Step	Action	Output
1	Start from your title, subtitle, and keyword field.	Metadata-derived seed list.
2	Compare competitor metadata with ASO tools.	Competitor keyword map.
3	Mine App Store auto-complete suggestions.	Native search-language candidates.
4	Prioritize search popularity relative to category economics.	Volume-quality shortlist.
5	Search target keywords and document visible competitors.	Share-of-voice baseline.
6	Map Custom Product Page alignment where visible.	Message-match hypotheses.

Custom Product Pages (CPPs) — The 2026 Lever

What to Research	How	Why It Matters
Which CPP variant links to which keyword	AppTweak CPP tracker	Message match = higher TTR
Screenshot themes per CPP	Manual App Store search	Visual alignment with search intent
Deep link behavior	Test competitor ads	Some skip product page entirely → in-app events
CPP text (subtitle, promo text)	ASO tools	Conversion copy that's been validated

Key Metrics

Metric	Target	Notes
Share of Voice (SOV)	Category-specific	Use to judge whether a term is efficient or a bid-war trap.
Tap-Through Rate (TTR)	Category benchmark	Varies by genre; use AppTweak/Sensor Tower or a dated category source
Keyword overlap	Map vs. top 5 competitors	Identify uncontested terms
Search popularity	Relative threshold	Prioritize enough volume to support the campaign decision.

5. Mobile Game Ad Networks (Unity, AppLovin, ironSource)

Intelligence Challenge

Tools

Platform	Price	Coverage	Key Feature
AppMagic (Sensor Tower SMB)	Free/demo; verify paid quote	Mobile market and ad intelligence	Creative charts, market trends, app/game estimates; ownership changed in 2026.
Sensor Tower / data.ai	Enterprise quote	Major app and ad-intelligence modules	Creative gallery, spend estimates, SDK detection; data.ai is now part of Sensor Tower.
BigSpy	Free tier; paid tiers vary	10 platform families and broad country coverage	Large ad library with format/network filters.
Apptica	Varies	SDK-level detection	Competitor mediation stacks, ad network distribution
GameAnalytics	Free	Genre benchmarks	Retention, session, monetization benchmarks by genre
Liftoff	Free reports	UA benchmarks	CPI, CPA, ROAS benchmarks by genre
GameRefinery	Free trial	Creative database	YouTube ad creative database for games

Research Workflow

Step	Question	Output
1	Which ad networks and mediation platforms do competitors use?	SDK and mediation map.
2	How much of the category is playable, video, or static?	Format-priority read.
3	Which creatives recur in your sub-genre?	Top concept shortlist.
4	How often do top advertisers rotate?	Launch refresh requirement.
5	Which geographies appear most aggressively targeted?	Market-entry hypothesis.
6	Do spend estimates and creative count imply testing or scaling?	Confidence tag for each competitor signal.

Genre-Specific Creative Cadences

Genre	Creatives/Month	Refresh Cycle	Dominant Format	Notes
Hyper-casual	200+ statics, 50+ videos	Weekly	Static + short video	Volume game, rapid burnout
Casual (puzzle, match)	50-100 videos	Bi-weekly	Video (30s)	Emotional hooks, progression fantasy
Mid-core (RPG, strategy)	30-50 videos + playables	3-4 weeks	Playable + video	Gameplay depth showcase
Social casino	20-40 videos	Monthly	Video (15-30s)	Win fantasy, jackpot moments

The "Fake Ad" / Marketing Gameplay Question

IP & Collaboration Detection

Check if a competitor's strong-performing ads coincide with a licensed IP event (anime collab, movie tie-in). This inflates their creative longevity and can lead to false conclusions about creative effectiveness. Always cross-reference ad timing with game update/event calendars.

Playable Ad Research (Advanced)

Research Angle	What To Check	Decision Use
Inventory path	Review competitor app-ads.txt files where available.	Infer authorized sellers and likely network exposure.
Playable logic	Study win/fail states, CTA placement, and moment-to-install path in available playable examples.	Decide whether your first test needs video, playable, or both.
Format by genre	Compare playable, video, static, and UGC evidence with dated category benchmarks.	Avoid forcing a format that category evidence does not support.

6. Cross-Network Synthesis (The Missing Link)

Creative Migration Tracking

Set up a monthly review cadence:

Week	Action	Output
Week 1	Catalog new creatives on Meta (top 10 competitors)	Meta vault
Week 2	Catalog new creatives on TikTok + YouTube	Cross-reference with Meta vault
Week 3	Check Google Transparency Center + Apple Ads	Full cross-platform map
Week 4	Synthesis: Which creatives migrated? Which are platform-exclusive?	Migration report

The Adaptation Matrix

When a winning creative migrates, it adapts. Track these transformations:

From → To	Typical Adaptation	Your Action
Meta → TikTok	Remove polish, add native feel, use trending sound	Start with TikTok-native version of Meta winner
TikTok → Meta	Add text overlays, extend to 30s, add end card	Scale proven TikTok hook with Meta optimization
Meta → YouTube	Extend to 15-30s, add voiceover, deeper story arc	Test YouTube pre-roll version of social winner
Social → App Store	Distill into screenshots + short preview video	Align CPP with proven social messaging

Message Match Audit

Intelligence isn't just the ad — it's the full funnel. For each competitor winner:

1. Capture the ad (hook, messaging, CTA)
2. Follow the click: Where does it land? (App Store default? Custom Product Page? Website?)
3. Score message match: Does the landing page reinforce the ad's promise?
4. Note disconnects: Poor message match = opportunity for you to do it better

Attribution & Privacy Intelligence (2026 Reality)

Signal	Where to Find It	What It Tells You
In-game surveys	App reviews, Reddit, competitor app screenshots	They're using self-reported attribution
RevenueCat / AppsFlyer SDK detected	Apptica	Their measurement stack
Conversion value schema	SKAN documentation patterns	How they optimize post-install events
Privacy Manifest compliance	iOS App Privacy details	How they handle data collection

7. F2P Mobile Gaming — Deep Dive

Pre-Spend CPI Benchmarks (Illustrative Planning Ranges)

Genre	iOS CPI (US)	Android CPI (US)	iOS CPI (Global)	Source
Hyper-casual	$0.50-$1.50	$0.20-$0.80	$0.30-$1.00	Dated benchmark source required before budget approval
Casual (puzzle, match)	$2.00-$5.00	$1.00-$3.00	$1.50-$4.00	Market-intel benchmark; verify before budget approval
Mid-core (RPG, strategy)	$5.00-$15.00	$2.00-$8.00	$3.00-$10.00	Dated benchmark source required before budget approval
Social casino	$15.00-$40.00	$5.00-$15.00	$8.00-$25.00	Dated benchmark source required before budget approval

Pre-Spend LTV Estimation

Before spending, estimate whether the category math works:

1. Genre retention benchmarks: GameAnalytics publishes D1/D7/D30 by genre (free)
2. Monetization benchmarks: ARPDAU by genre from industry reports
3. Back-into CPI target: If genre D30 retention = 8% and ARPDAU = $0.15, you can model LTV and set max CPI
4. Compare to CPI benchmarks above: If your max CPI < category CPI, you need either better creatives or better product before spending

Creative Quality Indicators (Before You Produce)

Research what predicts performance in your genre:

Element	Hyper-Casual	Casual	Mid-Core
Primary hook	Satisfying mechanic	Emotional progression	Power fantasy
Video length	10-15s	15-30s	20-45s
Dominant format	Short video + static	Video + carousel	Video + playable
Key visual	Oddly satisfying loop	Before/after transformation	Character/gear showcase
Audio	SFX only or trending	Music + light narration	Epic/dramatic score
CTA timing	Immediate (3-5s)	Mid-roll + end	End card after demo

AI-Powered Creative Research (2026 Workflow)

Step	Action	Decision Output
Collect	Save roughly 50 competitor ads from the closest genre and platform set.	Evidence set large enough to see repeated patterns.
Extract	Use a multimodal model to tag hook, voiceover, palette, overlay, gameplay, music, CTA, and duration.	Structured rows a human can spot-check.
Cluster	Group repeated hook-format combinations and separate active variants from stale ads.	Likely category norms and candidate winners.
Find gaps	Look for underused angles that still match audience intent and product truth.	White-space hypotheses worth a bounded test.

Rapid Prototyping ($0 Creative Testing)

Before expensive production, validate concepts:

Method	Cost	Speed	Fidelity
AI image generation (Midjourney, DALL-E)	~Free	Hours	Medium - static concepts
AI video (Runway, HeyGen)	Low	Hours	Medium - motion concepts
Screen recording + text overlays (CapCut)	Free	Hours	High - gameplay capture
Competitor creative remix	Free	1-2 days	High

8. AI Prompt Library (Ready-to-Use)

Prompt 1: Competitor Video Feature Extraction

Analyze this competitor ad video screenshot/frame sequence. For each ad, extract:
1. Hook type (first 3 seconds): [question / stat / shock / POV / transformation / loss-aversion / curiosity gap]
2. Voiceover: [yes/no], Gender: [male/female/none], Tone: [aggressive/calm/excited/urgent]
3. Visual style: [UGC / polished / gameplay / lifestyle / hybrid]
4. Gameplay shown: [core / marketing (minigame) / hybrid / none]
5. Text overlay density: [none / minimal (1-2 lines) / heavy (3+ lines)]
6. Color palette: [dominant 3 colors]
7. Music genre: [epic / electronic / pop / ambient / trending sound / SFX only / none]
8. CTA: [exact text and placement timing]
9. Duration: [seconds]
10. Estimated confidence level: [validated winner / active winner / active test / zombie / unknown]

Output as a structured row I can paste into a spreadsheet.

Prompt 2: Hook Pattern Clustering

I have a spreadsheet of [N] competitor ads with these columns: [paste column headers].
Analyze the data and identify:
1. The top 3 most common hook patterns (with frequency count)
2. The top 3 hook patterns correlated with "Validated Winner" status
3. Any hook patterns that appear in 0-2 ads (= white space opportunities)
4. Recommended Day 1 test plan: 3 concepts using proven hooks + 2 concepts using white space hooks
Format as a creative brief with specific hook scripts I can produce.

Prompt 3: Audience Pain Point Extraction from Reviews

Analyze these [N] app reviews from [competitor name]. Extract:
1. Top 5 pain points users mention (with frequency)
2. Top 5 features users praise (with frequency)
3. Exact phrases/language users use to describe their experience (verbatim quotes)
4. Emotional triggers: What makes users excited? Frustrated? Surprised?
5. Unmet needs: What do users wish the app did that it doesn't?
Output a "Voice of Customer" document I can use to write ad copy in the audience's own words.

Prompt 4: Cross-Platform Creative Brief Generator

Based on this competitive research summary:
- Top Meta hooks: [list]
- Top TikTok hooks: [list]
- Top Google ad copy themes: [list]
- Genre CPI benchmarks: [numbers]
- White space opportunities: [list]
- Target audience: [description]

Generate a cross-platform creative brief that includes:
1. 3 "Proven Winner" concepts (adapted from competitor successes, differentiated with our product)
2. 2 "White Space" concepts (angles no competitor is using)
For each concept, provide:
- Meta version (15-30s video script)
- TikTok version (native-feel adaptation)
- YouTube version (15s pre-roll)
- Google Search ad copy (3 headlines + 2 descriptions)
- Apple Ads screenshot concept

Prompt 5: Sentiment Mining (Reddit/Discord/Communities)

Analyze these [N] Reddit posts/Discord messages from [community name] about [game category/product type]. Extract:
1. Why do players start playing games like this? (Acquisition motivation)
2. Why do players keep playing? (Retention drivers)
3. Why do players quit? (Churn triggers)
4. What language do they use to recommend games to friends? (Organic referral hooks)
5. What competitors do they mention positively? Negatively? Why?
Output as an "Emotional Hook Map" I can use to write ads that speak to real motivations.

9. Creative Fatigue Forecasting

Budget-to-Asset Calculator

Before you spend, estimate how many creative assets you need:

Launch Budget	Concepts Needed	Variants per Concept	Total Assets	Reasoning
$5,000	2-3	2-3 each	6-9	Minimal viable test
$10,000	3-5	3-4 each	12-20	Enough to identify 1-2 winners
$25,000	5-8	4-5 each	25-40	Robust test across hooks + formats
$50,000	8-12	5-8 each	50-80	Full matrix test (hook x format x CTA)
$100,000+	12-20	8-10 each	100-200	Scale-ready with planned refresh pipeline

Fatigue Timeline by Platform

Platform	Creative Lifespan	Signal of Fatigue	Action
Meta	2-4 wks (hyper-casual), 4-8 wks (mid-core)	CTR drops 20%+ from peak	Rotate variant or kill concept
TikTok	1-2 weeks (trend-dependent)	Completion rate drops below 50% of peak	Refresh with new trending sound/hook
Google (Search)	4-8 weeks	Quality Score drops, CPC rises 15%+	Refresh ad copy, test new extensions
Google (PMax)	3-6 weeks per asset	Asset rating drops from "Best" to "Good"/"Low"	Replace low-rated assets
Apple Ads	6-12 weeks	TTR drops 15%+ from peak	Refresh CPP screenshots/preview video
Unity/AppLovin	1-3 wks (hyper-casual), 3-6 wks (mid-core)	eCPM drops 20%+	Rotate entire creative

Pre-Spend Production Planning

10. Back-of-Envelope LTV Calculator

Step 1: Gather Genre Benchmarks (Free Sources)

Metric	Source	Where to Find
D1/D7/D30 Retention	GameAnalytics	gameanalytics.com/benchmarks
ARPDAU	Industry reports	Liftoff, Sensor Tower/data.ai, or equivalent dated reports
Payer conversion rate	Genre averages	Sensor Tower free reports
Average CPI	Liftoff benchmarks	liftoff.io/resources

Step 2: Calculate Rough LTV

LTV (D30) = ARPDAU x Sum(Daily Retention D1 through D30)

Example (Casual Puzzle):
- ARPDAU: $0.12
- D1: 35%, D7: 15%, D30: 8%
- Sum of daily retention (approximated): ~4.5 user-days in first 30 days
- LTV(D30) = $0.12 x 4.5 = $0.54

LTV (D365 projection) = LTV(D30) x Multiplier
- Casual games: 1.8-2.5x multiplier
- Mid-core: 2.5-4.0x multiplier
- Social casino: 3.0-5.0x multiplier

Projected LTV(D365) = $0.54 x 2.1 = $1.13

Step 3: Set CPI Ceiling

Max CPI = LTV(D365) x Target ROAS margin

Example:
- LTV(D365): $1.13
- Target ROAS: 120% (20% margin above breakeven)
- Breakeven CPI: $1.13 / 1.43 = $0.79 (at 143% store-fee-adjusted breakeven)
- Max CPI with margin: $0.79 / 1.20 = $0.66

Step 4: Compare to Market CPI

11. Minimum Viable Intelligence Stacks

Free Stack (Solo Founder / Pre-Revenue)

Tool	What You Get	Time Investment
Meta Ad Library	Competitor creative catalog	2-3 hrs/week
Google Transparency Center	Search/Display/YouTube competitor ads	1-2 hrs/week
TikTok Creative Center	Top ads + trending sounds/keywords	1-2 hrs/week
Google Keyword Planner	Volume + CPC estimates	1 hr setup
Google Trends	Category demand validation	30 min setup
App Store manual search	ASO keyword discovery + competitor CPPs	1-2 hrs/week
GameAnalytics (free)	Genre retention/monetization benchmarks	1 hr setup
Liftoff reports (free)	CPI/ROAS genre benchmarks	30 min read
CapCut (free)	Lo-fi creative prototyping	As needed
Spreadsheet	Manual creative vault + feature matrix	Ongoing

Growth-Stage / Serious Pre-Launch

Everything above, plus:

Tool	Cost	What It Adds
Foreplay	Paid tier; verify current plan	Permanent ad vault across Meta/TikTok/Google — solves the deletion problem
AppMagic (Sensor Tower SMB)	Free/demo or paid quote; verify current access	Mobile game creative intelligence, ad examples, playable analysis, CPI benchmarks
vidIQ Pro	Free and paid creator tiers; verify current plan	YouTube tag intelligence + competitor analytics

Scaling Team

Everything above, plus SEMrush or similar paid search intelligence, SplitMetrics where Apple Ads is material, and Sensor Tower/data.ai for enterprise-grade cross-network intelligence with SDK detection. Verify vendor pricing before purchase.

12. Organic-to-Paid Signals

Signal	Where to Find It	What It Means
Organic TikTok with 500K+ views	TikTok search by category	Proven concept → Spark Ad candidate
Reddit post with 1K+ upvotes about a game	r/gaming, r/AndroidGaming, genre subs	Real audience language + validated interest
YouTube gameplay video with high like ratio	VidIQ/TubeBuddy	Community-validated content worth amplifying
App Store review mentioning specific feature	Manual review mining	Feature that resonates → ad hook candidate
Discord/community buzz about game mechanic	Manual community monitoring	Word-of-mouth driver → ad angle

Organic-First Creative Workflow

13. Operational Safety & Execution Readiness

Policy & Compliance Filter

Competitive research often surfaces "winners" that violate platform policies. Before producing any concept inspired by competitors, run this check:

Risk	What to Check	Consequence of Violation
Misleading gameplay	Does the ad show mechanics not in the actual game?	Meta/Google/TikTok reject or ban; Apple rejects app update
Copyright audio	Is the trending sound licensed for commercial use?	Ad rejected, potential DMCA takedown
Restricted claims	Health, financial, or gambling claims without disclaimers?	Account suspension
Competitor trademark	Using competitor brand names in ad copy or keywords?	Trademark complaint, ad disapproval
UGC rights	Do you have rights to use creator content as Spark Ads?	Legal liability
Privacy compliance	Does creative collect/imply data collection? (Privacy Manifest for iOS)	App Store rejection

48-Hour Calibration Protocol

After launch, immediately compare predictions to reality to sharpen your research methodology:

Metric	Pre-Spend Prediction	Actual (48hr)	Delta	Action
CPI	$ _____	$ _____	___%	If >30% over: pause, revisit creative
CTR	___%	___%	___%	If <50% of prediction: hook failed
CVR (click→install)	___%	___%	___%	If low: message match or store page issue
Top creative concept	[name]	[name]	Match?	If different: research methodology needs calibration
Top platform	[name]	[name]	Match?	If different: audience assumption was wrong

Role-Based Ownership (RACI)

Deliverable	Responsible	Accountable	Consulted	Informed
Keyword map + CPC benchmarks	Media Buyer	Head of Growth	Product Manager	—
Creative vault + feature matrix	Creative Lead	Head of Growth	Media Buyer	—
Hook library + messaging matrix	Creative Lead	Creative Lead	Product Manager	Media Buyer
LTV calculator + CPI ceiling	Media Buyer / Analyst	Head of Growth	Finance	Product Manager
Cross-platform migration map	Media Buyer	Head of Growth	Creative Lead	—
Creative brief + storyboards	Creative Lead	Head of Growth	Product Manager	Media Buyer
AI feature extraction	Analyst / Creative Lead	Creative Lead	—	Head of Growth
Rapid prototypes	Creative Producer	Creative Lead	—	Media Buyer
Day 1 campaign structure	Media Buyer	Head of Growth	Creative Lead	Finance

Creative Asset Naming Convention

For the Feature Matrix, Fatigue Forecasting, and cross-platform tracking to work at scale, use a standardized naming system:

[Concept]_[Hook]_[Format]_[Platform]_[Version]_[Date]

Examples:
PuzzleRush_LossAversion_Video30s_Meta_v1_20260315
PuzzleRush_LossAversion_Video15s_TikTok_v1_20260315
PuzzleRush_LossAversion_Playable_Unity_v1_20260315
RoyalEscape_Curiosity_Static_Meta_v1_20260315
RoyalEscape_Curiosity_Carousel_Meta_v2_20260322

Field	Values	Purpose
Concept	Short name for creative concept	Groups variants of same idea
Hook	LossAversion, Curiosity, Social, Shock, POV, Transform	Links to Feature Matrix hook taxonomy
Format	Video15s, Video30s, Static, Carousel, Playable	Fatigue tracking by format
Platform	Meta, TikTok, YouTube, Google, Apple, Unity	Cross-platform migration tracking
Version	v1, v2, v3...	Variant tracking within concept
Date	YYYYMMDD	Production timeline + fatigue calculation

14. The Universal Pre-Spend Framework

Phase 1: Market Hypothesis (Days 1-3)

Goal: Form a testable hypothesis about what will work for your product + audience.

Step	Action	Output	Success Criteria
1	Define product category keywords (15-25 terms)	Keyword map	Covers all intent types
2	Map competitor landscape (5-10 direct, 2-3 aspirational)	Competitor matrix	Includes market leaders + rising challengers
3	Define audience personas (2-3 segments)	Persona cards	Each has distinct pain points + channels
4	Benchmark category CPC/CPI	Cost matrix by platform	Know your unit economics ceiling
5	Pre-check LTV viability: Can category math support paid UA?	Go/No-Go decision	CPI target > category average = proceed

Phase 2: Intelligence Collection (Days 3-10)

Goal: Build a comprehensive evidence base across all platforms.

Step	Action	Tools	Volume Target
6	Pull all competitor ads from Meta Ad Library	Meta Ad Library → Foreplay/vault	50+ ads saved per competitor
7	Pull competitor ads from Google Transparency Center	Transparency Center	All Search + Display + YouTube
8	Analyze TikTok top ads for your vertical	TikTok Creative Center	Top 20 ads, keyword list, 5 trending sounds
9	Research Apple Ads keywords + CPPs	AppTweak + App Store	100+ keywords scored, 10 CPPs analyzed
10	Mobile network creative research	AppMagic/Sensor Tower, BigSpy	Genre top 50 creatives
11	YouTube comment mining	VidIQ + manual	50+ comments = real audience language
12	App review mining (competitors)	App Store + Google Play	100+ reviews for pain points and language

Phase 3: Pattern Analysis & Synthesis (Days 10-14)

Goal: Convert raw intelligence into actionable patterns.

Step	Action	Output
13	Score all saved ads using Evidence Hierarchy (Section 0)	Ranked creative database
14	Identify top 5 hooks across all platforms	Hook library with confidence scores
15	Map creative formats by platform + performance proxy	Format priority matrix
16	Extract messaging angles (feature/emotion/social proof/FOMO)	Messaging matrix
17	Identify cross-platform migrations	Migration map (highest confidence signals)
18	Identify white space (angles/formats no one uses)	Differentiation opportunities
19	Determine: Core gameplay or marketing gameplay?	Creative direction decision
20	AI Feature Extraction on top 50 competitor videos	Structured feature matrix
21	Message match audit: ad → landing page alignment	Funnel gap analysis
22	Benchmark CTAs, offers, and copy patterns	CTA + copy testing plan

Phase 4: Creative Strategy & Rapid Prototyping (Days 14-21)

Goal: Build and validate creative hypotheses before committing budget.

Step	Action	Output
23	Write creative brief from research (not assumptions)	Brief anchored in evidence
24	Design 5-8 concepts: 3 proven angles + 2-3 white space	Concept storyboards
25	Prioritize by: category norm weight (60%) + white space bet (40%)	Test priority matrix
26	Rapid prototype top 5 concepts (AI/lo-fi)	Lo-fi creative assets
27	Plan testing matrix: format x hook x CTA x platform	A/B test plan
28	Set KPI benchmarks from competitive research	CPI, CTR, CVR targets by platform
29	Define kill criteria: What results = kill the concept?	Decision framework
30	Build Day 1 campaign structure	Ready to launch

Phase 5: Cross-Platform Alignment (Ongoing)

Goal: Ensure research translates into unified multi-platform execution.

Step	Action	Frequency
31	Refresh competitor vault across all platforms	Weekly
32	Track creative migration signals	Monthly
33	Update feature matrix with new winners	Bi-weekly
34	Recalculate white space as competitors fill gaps	Monthly
35	Adapt winning creatives across platforms using Adaptation Matrix	Per creative winner

Key Principles (Updated for 2026)

Principle	What It Means	How To Use It
Evidence quality	Duration, variant velocity, and cross-platform migration together are stronger than duration alone.	Rank competitor signals by corroboration before copying a format.
Category strategy	Category norms are starting points; white space is a hypothesis, not automatic CPI advantage.	Test proven angles and differentiated angles side by side.
Operating cadence	Refresh rate depends on genre, platform, and production capacity.	Do not apply a hyper-casual creative cadence to a mid-core game.
Human judgment	AI speeds extraction, but humans decide whether the pattern fits product truth and funnel message match.	Validate ad, store page, onboarding, and first-session promise as one chain.

15. Tool Cost Summary

Free (Zero Cost)

Tool	Network/Use	What You Get
Meta Ad Library	Meta	Full ad catalog, any advertiser
Google Ads Transparency Center	Google	Search, Display, YouTube ads
TikTok Creative Center	TikTok	Top ads, keyword insights, emerging trends
Google Keyword Planner	Search	Volume ranges, CPC estimates, suggestions
Google Trends	Cross-platform	Relative interest, geo, seasonal trends
Google Ads Reach Planner	YouTube + Display	Pre-spend reach forecasting
BigSpy (free tier)	Multi-network	Limited free-tier searches; verify current coverage and limits
AppTweak (free starter)	App stores	Basic keyword + download data
GameAnalytics	Mobile games	Genre retention/monetization benchmarks
Liftoff (free reports)	Mobile UA	CPI, ROAS benchmarks by genre
VidIQ (free tier)	YouTube	Tag intelligence, basic analytics
CapCut	TikTok/social	Free video editing for rapid prototyping

Paid — By Budget Tier

Bootstrapped

Tool	Price	ROI Justification
Foreplay	Paid starter tier; verify current plan	Permanent ad vault — critical for tracking winners that get deleted
vidIQ Pro	Paid creator tier; verify current plan	YouTube tag + competitor intelligence

Growth Stage

Tool	Price	ROI Justification
AppMagic (Sensor Tower SMB)	Free/demo or paid quote; verify current access	Mobile game creative intelligence and category benchmarks
SEMrush	Paid SaaS tier; verify current plan	Full PPC competitive suite
SpyFu	Paid SaaS tier; verify current plan	Google Ads keyword history
MagicBrief	Paid creative-intel tier; verify current plan	Cross-platform creative analysis
SplitMetrics	Quote/trial; verify current plan	ASA creative A/B testing

Scale

Tool	Price	ROI Justification
Sensor Tower / data.ai	Enterprise quote	Enterprise mobile intelligence, creative gallery, SDK detection, and market estimates
Ahrefs	Paid SaaS tier; verify current plan	Deep keyword research + competitive SEO

Pre-Spend Ad Intelligence Playbook v3.2 — reviewed May 20, 2026. Cross-referenced against official Meta, Google, TikTok, Apple, Sensor Tower/data.ai/AppMagic, Foreplay, MagicBrief, BigSpy, SpyFu, and vidIQ public pages where applicable.