Pre-Spend Ad Intelligence Playbook

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	$49-99/mo	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

• All active (and recently inactive) ads from any advertiser
• Ad copy, visuals, video, carousel, and collection formats
• Start dates + whether ad is still running
• Platform placement (Facebook, Instagram, Messenger, Audience Network)
• Multiple versions of same ad (variant count)

Research Workflow

1. Build a watch list: 5-10 direct competitors + 2-3 aspirational brands in adjacent categories
2. Search by brand name: See full active catalog for each competitor
3. Search by product keywords: (e.g., "puzzle game", "RPG", "match-3") to discover unknown competitors
4. Filter by country and platform: Geo-specific creative strategies reveal market entry priorities
5. Save everything to a vault: Use Foreplay/MagicBrief or at minimum screenshot + spreadsheet. The library is ephemeral — ads disappear after ~90 days, and competitors actively delete winners.

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	$39/mo+	Historical competitor keyword bids, ad copy archive
SEMrush	$150/mo+	Keyword gap analysis, competitor ad copy, traffic estimates
Ahrefs	$99/mo+	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

1. Seed keyword brainstorm: List 20-30 terms your audience would search
2. Keyword Planner expansion: Input seeds, extract 200-500 suggestions. Note: without active spend, you get ranges (10k-100k) not exact volumes. Use SEMrush/Ahrefs for more precise estimates.
3. Intent classification: Separate keywords into buckets:
   • Informational: "how to improve aim in FPS games" (top-of-funnel content)
   • Commercial: "best puzzle games 2026" (comparison/consideration)
   • Transactional: "download Royal Match" (direct install intent)
   • Navigational: "[competitor brand name]" (conquest opportunity)
4. CPC benchmarking: Sort by estimated CPC to map competitive intensity. High CPC = proven conversion value in that keyword.
5. SERP analysis: Search top 20 keywords in incognito mode. Screenshot ads. Note messaging themes, CTA patterns, ad extensions used, and number of advertisers per keyword.
6. Long-tail discovery: AnswerThePublic, "People Also Ask", Google auto-complete, Reddit threads
7. Competitor keyword gap: Use SpyFu or SEMrush to find keywords competitors bid on that you haven't considered

Research Workflow — Performance Max (PMax)

What you can still learn:

• Which competitors run PMax (visible in Transparency Center as mixed format ads)
• Their asset types: headlines, descriptions, images, videos, logos
• Landing page destinations (often custom LP vs. App Store)
• Creative rotation patterns

PMax-specific research:

1. Search competitor domains in Transparency Center
2. Catalog all visible creative assets (text + visual + video)
3. Note which assets persist across weeks (= top-performing assets Google's AI keeps)
4. Check if they use YouTube assets in PMax (signals video-first strategy)

Research Workflow — YouTube

1. Transparency Center: Pull all video ads from competitors
2. VidIQ/TubeBuddy: Analyze competitor YouTube channel tags, comment sentiment, trending topics
3. Comment mining: Read top comments on competitor game/product videos — this is a goldmine for ad copy hooks (real language your audience uses)
4. Video structure analysis: For top-performing ads, map: Hook (0-3s) → Problem (3-10s) → Solution (10-20s) → CTA (20-30s)
5. Reach Planner: Forecast impressions and reach for your target audience before spending

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	$49-99/mo	Cross-platform ad vault

URL: ads.tiktok.com/business/creativecenter

Research Workflow

1. Top Ads by vertical: Filter to your product category (e.g., "Gaming", "App") and region
2. Analyze top 20 ads with structured scoring: first-frame hook type, pacing, audio, text overlay placement and style, duration and completion structure
3. Keyword Insights: Extract trending keywords in your category's ad copy — these are proven conversion words
4. Emerging sounds (not just Popular): Use Trend Discovery's "Emerging" filter to find sounds 24-48 hours old. By the time they're "Popular," the novelty advantage is gone.
5. TikTok Creative Challenge (TTCC): Browse the challenge portal to see what brands are paying creators to produce. These briefs reveal the creative direction before ads go live.
6. Organic signal mining: Search "TikTok Made Me Download + [category]" sorted by "Last 7 Days" to find organic content that converts — potential Spark Ad candidates.

Winning Creative Patterns (2026)

Pattern	Performance Signal	Category Fit
UGC-style (real people)	Higher trust, better CTR	Universal
Hook in first 2 seconds	Stop-the-scroll mandatory	Universal
Creator-led (employee/influencer)	Dramatically higher engagement	Mid-funnel, consideration
Spark Ads (boosted organic)	~20% higher completion rate (2026 benchmark)	Proven organic content
Action overlays ("Download", "Try it")	18%+ conversion lift	Bottom-funnel
15-30 second duration	Optimal completion-to-action ratio	Universal
Problem-solution narrative	High intent capture	App/game installs

Creative Velocity Intelligence

Metric	What to Measure	Benchmark (2026)
Creatives per month (top advertisers)	Total new ads launched	100-500+ for F2P gaming top 1%
Creative lifespan	Days before retirement	7-14 days (hyper-casual), 21-30 days (mid-core)
Variant ratio	Variants per concept	5-10x per winning concept
Format split	Video vs. static vs. playable	70% video, 20% playable, 10% static (gaming)

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
SensorTower	$25K+/yr	Full creative gallery, keyword analytics, CPI forecasts

Research Workflow

1. Seed keywords from your app metadata: Title, subtitle, keyword field
2. Competitor app analysis: Via ASO tools, identify keywords in competitor metadata
3. Auto-complete mining: Type partial category terms, note all Apple suggestions
4. Search popularity scoring: Prioritize keywords with popularity 40+ (below 40 = too low volume)
5. Competitor ad monitoring: Search your target keywords, screenshot which competitors appear
6. Custom Product Page (CPP) analysis: This is the 2026 differentiator — 20% of ASA success is keywords, 80% is CPP alignment

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)	50-70% on core terms	70-90% is too aggressive — inflates CPI by 20-25% in bid wars
Tap-Through Rate (TTR)	Category benchmark	Varies by genre; use AppTweak/SensorTower
Keyword overlap	Map vs. top 5 competitors	Identify uncontested terms
Search popularity	Prioritize 40+	Below 40 = marginal volume

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

Intelligence Challenge

Tools

Platform	Price	Coverage	Key Feature
AppMagic	$380/mo+	150M+ video creatives	Top creative charts by segment, CPI/CTR benchmarks, playable logic analysis
SensorTower	$25-40K/yr	All major networks	Creative Gallery, spend estimates, SDK detection
BigSpy	Free tier	71 countries, 10 networks incl. Unity	1B+ ads, filter by format/network
data.ai	Enterprise	Global	Cross-network spend and creative intelligence
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

1. Competitor SDK detection: Which ad networks and mediation platforms are competitors using? (Tools: Apptica, SensorTower SDK Intelligence)
2. Mediation stack analysis: Are they on AppLovin MAX or Unity LevelPlay?
3. Creative format distribution: % playable vs. video vs. static per competitor
4. Top creatives by genre: Filter AppMagic/BigSpy to your game sub-genre
5. Creative refresh rate: How often do top advertisers rotate?
6. Geo strategy: Which countries/tiers are competitors targeting most aggressively?
7. Spend-per-creative ratio: If tools show estimated spend + creative count, calculate efficiency. Low spend-per-creative = testing phase. High = scaling winners.

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)

• App-ads.txt scraping: Check competitor's app-ads.txt file to see authorized ad sellers → reveals where they buy inventory
• Playable logic flow: AppMagic shows the decision tree within playables — study win/fail states and CTA placement
• Format performance by genre: Playables outperform video in mid-core by ~20% CTR but underperform in casual by ~15%

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 (2026 Estimates)

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	Liftoff, AppMagic
Casual (puzzle, match)	$2.00-$5.00	$1.00-$3.00	$1.50-$4.00	SensorTower
Mid-core (RPG, strategy)	$5.00-$15.00	$2.00-$8.00	$3.00-$10.00	Liftoff
Social casino	$15.00-$40.00	$5.00-$15.00	$8.00-$25.00	Industry reports

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)

1. Collect top 50 competitor video ads from your genre
2. AI Feature Extraction: Use vision models (GPT-4o, Gemini) to generate structured analysis covering voiceover, hook type, color palette, text overlay, gameplay shown, and music genre
3. Build a Feature Matrix: Spreadsheet of all 50 ads with structured attributes
4. Identify clusters: Which combinations appear most frequently in winners?
5. Find gaps: Which combinations are underrepresented? = testing opportunities

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, data.ai annual 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

$0/month (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

~$450/month (Growth-Stage / Serious Pre-Launch)

Everything above, plus:

Tool	Cost	What It Adds
Foreplay	$49/mo	Permanent ad vault across Meta/TikTok/Google — solves the deletion problem
AppMagic	$380/mo	Mobile game creative intelligence, 150M+ ads, playable analysis, CPI benchmarks
VidIQ Pro	$10/mo	YouTube tag intelligence + competitor analytics

$2,000+/month (Scaling Team)

Everything above, plus SEMrush ($150/mo), SplitMetrics (varies), and consider SensorTower ($25-40K/yr) for enterprise-grade cross-network intelligence with SDK detection.

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, 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)

1. Duration + variant velocity + cross-platform migration = true winner signal (duration alone is unreliable)
2. Volume of variants = active testing — but normalize by budget tier (small teams can't sustain 500/month)
3. Category norms are starting points, not ceilings — know them, then selectively challenge them
4. White space is your Day 1 advantage — if no competitor uses an angle, you get first-mover CPI advantage
5. Refresh rate by genre — hyper-casual weekly, mid-core monthly (don't apply one cadence to all)
6. Cross-platform adaptation beats platform-native creation — validate on one platform, adapt to others
7. AI accelerates research but doesn't replace judgment — use AI for extraction, humans for synthesis
8. Message match across the funnel — ad → landing page → onboarding alignment wins

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 daily searches across 10 networks
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 ($0-500/mo on tools)

Tool	Price	ROI Justification
Foreplay	$49/mo	Permanent ad vault — critical for tracking winners that get deleted
VidIQ Pro	$10/mo	YouTube tag + competitor intelligence

Growth Stage ($500-2,000/mo on tools)

Tool	Price	ROI Justification
AppMagic	$380/mo	Mobile game creative intelligence, 150M+ ads
SEMrush	$150/mo	Full PPC competitive suite
SpyFu	$39/mo	Google Ads keyword history
MagicBrief	$99/mo	Cross-platform creative analysis
SplitMetrics	Varies	ASA creative A/B testing

Scale ($2,000+/mo on tools)

Tool	Price	ROI Justification
SensorTower	$25-40K/yr	Enterprise mobile intelligence (all networks, creative gallery, SDK detection)
data.ai	Enterprise	Global cross-network spend + creative intelligence
Ahrefs	$99/mo+	Deep keyword research + competitive SEO

Pre-Spend Ad Intelligence Playbook v3.1 — March 2026. Cross-referenced research from Meta, Google, TikTok, Apple, Unity/AppLovin ad ecosystems.