"""
Launch checklist module for App Store Optimization.
Generates comprehensive pre-launch and update checklists.
"""
from typing import Dict, List, Any, Optional
from datetime import datetime, timedelta
class LaunchChecklistGenerator:
"""Generates comprehensive checklists for app launches and updates."""
def __init__(self, platform: str = 'both'):
"""
Initialize checklist generator.
Args:
platform: 'apple', 'google', or 'both'
"""
if platform not in ['apple', 'google', 'both']:
raise ValueError("Platform must be 'apple', 'google', or 'both'")
self.platform = platform
def generate_prelaunch_checklist(
self,
app_info: Dict[str, Any],
launch_date: Optional[str] = None
) -> Dict[str, Any]:
"""
Generate comprehensive pre-launch checklist.
Args:
app_info: App information (name, category, target_audience)
launch_date: Target launch date (YYYY-MM-DD)
Returns:
Complete pre-launch checklist
"""
checklist = {
'app_info': app_info,
'launch_date': launch_date,
'checklists': {}
}
# Generate platform-specific checklists
if self.platform in ['apple', 'both']:
checklist['checklists']['apple'] = self._generate_apple_checklist(app_info)
if self.platform in ['google', 'both']:
checklist['checklists']['google'] = self._generate_google_checklist(app_info)
# Add universal checklist items
checklist['checklists']['universal'] = self._generate_universal_checklist(app_info)
# Generate timeline
if launch_date:
checklist['timeline'] = self._generate_launch_timeline(launch_date)
# Calculate completion status
checklist['summary'] = self._calculate_checklist_summary(checklist['checklists'])
return checklist
def validate_app_store_compliance(
self,
app_data: Dict[str, Any],
platform: str = 'apple'
) -> Dict[str, Any]:
"""
Validate compliance with app store guidelines.
Args:
app_data: App data including metadata, privacy policy, etc.
platform: 'apple' or 'google'
Returns:
Compliance validation report
"""
validation_results = {
'platform': platform,
'is_compliant': True,
'errors': [],
'warnings': [],
'recommendations': []
}
if platform == 'apple':
self._validate_apple_compliance(app_data, validation_results)
elif platform == 'google':
self._validate_google_compliance(app_data, validation_results)
# Determine overall compliance
validation_results['is_compliant'] = len(validation_results['errors']) == 0
return validation_results
def create_update_plan(
self,
current_version: str,
planned_features: List[str],
update_frequency: str = 'monthly'
) -> Dict[str, Any]:
"""
Create update cadence and feature rollout plan.
Args:
current_version: Current app version
planned_features: List of planned features
update_frequency: 'weekly', 'biweekly', 'monthly', 'quarterly'
Returns:
Update plan with cadence and feature schedule
"""
# Calculate next versions
next_versions = self._calculate_next_versions(
current_version,
update_frequency,
len(planned_features)
)
# Distribute features across versions
feature_schedule = self._distribute_features(
planned_features,
next_versions
)
# Generate "What's New" templates
whats_new_templates = [
self._generate_whats_new_template(version_data)
for version_data in feature_schedule
]
return {
'current_version': current_version,
'update_frequency': update_frequency,
'planned_updates': len(feature_schedule),
'feature_schedule': feature_schedule,
'whats_new_templates': whats_new_templates,
'recommendations': self._generate_update_recommendations(update_frequency)
}
def optimize_launch_timing(
self,
app_category: str,
target_audience: str,
current_date: Optional[str] = None
) -> Dict[str, Any]:
"""
Recommend optimal launch timing.
Args:
app_category: App category
target_audience: Target audience description
current_date: Current date (YYYY-MM-DD), defaults to today
Returns:
Launch timing recommendations
"""
if not current_date:
current_date = datetime.now().strftime('%Y-%m-%d')
# Analyze launch timing factors
day_of_week_rec = self._recommend_day_of_week(app_category)
seasonal_rec = self._recommend_seasonal_timing(app_category, current_date)
competitive_rec = self._analyze_competitive_timing(app_category)
# Calculate optimal dates
optimal_dates = self._calculate_optimal_dates(
current_date,
day_of_week_rec,
seasonal_rec
)
return {
'current_date': current_date,
'optimal_launch_dates': optimal_dates,
'day_of_week_recommendation': day_of_week_rec,
'seasonal_considerations': seasonal_rec,
'competitive_timing': competitive_rec,
'final_recommendation': self._generate_timing_recommendation(
optimal_dates,
seasonal_rec
)
}
def plan_seasonal_campaigns(
self,
app_category: str,
current_month: int = None
) -> Dict[str, Any]:
"""
Identify seasonal opportunities for ASO campaigns.
Args:
app_category: App category
current_month: Current month (1-12), defaults to current
Returns:
Seasonal campaign opportunities
"""
if not current_month:
current_month = datetime.now().month
# Identify relevant seasonal events
seasonal_opportunities = self._identify_seasonal_opportunities(
app_category,
current_month
)
# Generate campaign ideas
campaigns = [
self._generate_seasonal_campaign(opportunity)
for opportunity in seasonal_opportunities
]
return {
'current_month': current_month,
'category': app_category,
'seasonal_opportunities': seasonal_opportunities,
'campaign_ideas': campaigns,
'implementation_timeline': self._create_seasonal_timeline(campaigns)
}
def _generate_apple_checklist(self, app_info: Dict[str, Any]) -> List[Dict[str, Any]]:
"""Generate Apple App Store specific checklist."""
return [
{
'category': 'App Store Connect Setup',
'items': [
{'task': 'App Store Connect account created', 'status': 'pending'},
{'task': 'App bundle ID registered', 'status': 'pending'},
{'task': 'App Privacy declarations completed', 'status': 'pending'},
{'task': 'Age rating questionnaire completed', 'status': 'pending'}
]
},
{
'category': 'Metadata (Apple)',
'items': [
{'task': 'App title (30 chars max)', 'status': 'pending'},
{'task': 'Subtitle (30 chars max)', 'status': 'pending'},
{'task': 'Promotional text (170 chars max)', 'status': 'pending'},
{'task': 'Description (4000 chars max)', 'status': 'pending'},
{'task': 'Keywords (100 chars, comma-separated)', 'status': 'pending'},
{'task': 'Category selection (primary + secondary)', 'status': 'pending'}
]
},
{
'category': 'Visual Assets (Apple)',
'items': [
{'task': 'App icon (1024x1024px)', 'status': 'pending'},
{'task': 'Screenshots (iPhone 6.7" required)', 'status': 'pending'},
{'task': 'Screenshots (iPhone 5.5" required)', 'status': 'pending'},
{'task': 'Screenshots (iPad Pro 12.9" if iPad app)', 'status': 'pending'},
{'task': 'App preview video (optional but recommended)', 'status': 'pending'}
]
},
{
'category': 'Technical Requirements (Apple)',
'items': [
{'task': 'Build uploaded to App Store Connect', 'status': 'pending'},
{'task': 'TestFlight testing completed', 'status': 'pending'},
{'task': 'App tested on required iOS versions', 'status': 'pending'},
{'task': 'Crash-free rate > 99%', 'status': 'pending'},
{'task': 'All links in app/metadata working', 'status': 'pending'}
]
},
{
'category': 'Legal & Privacy (Apple)',
'items': [
{'task': 'Privacy Policy URL provided', 'status': 'pending'},
{'task': 'Terms of Service URL (if applicable)', 'status': 'pending'},
{'task': 'Data collection declarations accurate', 'status': 'pending'},
{'task': 'Third-party SDKs disclosed', 'status': 'pending'}
]
}
]
def _generate_google_checklist(self, app_info: Dict[str, Any]) -> List[Dict[str, Any]]:
"""Generate Google Play Store specific checklist."""
return [
{
'category': 'Play Console Setup',
'items': [
{'task': 'Google Play Console account created', 'status': 'pending'},
{'task': 'Developer profile completed', 'status': 'pending'},
{'task': 'Payment merchant account linked (if paid app)', 'status': 'pending'},
{'task': 'Content rating questionnaire completed', 'status': 'pending'}
]
},
{
'category': 'Metadata (Google)',
'items': [
{'task': 'App title (50 chars max)', 'status': 'pending'},
{'task': 'Short description (80 chars max)', 'status': 'pending'},
{'task': 'Full description (4000 chars max)', 'status': 'pending'},
{'task': 'Category selection', 'status': 'pending'},
{'task': 'Tags (up to 5)', 'status': 'pending'}
]
},
{
'category': 'Visual Assets (Google)',
'items': [
{'task': 'App icon (512x512px)', 'status': 'pending'},
{'task': 'Feature graphic (1024x500px)', 'status': 'pending'},
{'task': 'Screenshots (2-8 required, phone)', 'status': 'pending'},
{'task': 'Screenshots (tablet, if applicable)', 'status': 'pending'},
{'task': 'Promo video (YouTube link, optional)', 'status': 'pending'}
]
},
{
'category': 'Technical Requirements (Google)',
'items': [
{'task': 'APK/AAB uploaded to Play Console', 'status': 'pending'},
{'task': 'Internal testing completed', 'status': 'pending'},
{'task': 'App tested on required Android versions', 'status': 'pending'},
{'task': 'Target API level meets requirements', 'status': 'pending'},
{'task': 'All permissions justified', 'status': 'pending'}
]
},
{
'category': 'Legal & Privacy (Google)',
'items': [
{'task': 'Privacy Policy URL provided', 'status': 'pending'},
{'task': 'Data safety section completed', 'status': 'pending'},
{'task': 'Ads disclosure (if applicable)', 'status': 'pending'},
{'task': 'In-app purchase disclosure (if applicable)', 'status': 'pending'}
]
}
]
def _generate_universal_checklist(self, app_info: Dict[str, Any]) -> List[Dict[str, Any]]:
"""Generate universal (both platforms) checklist."""
return [
{
'category': 'Pre-Launch Marketing',
'items': [
{'task': 'Landing page created', 'status': 'pending'},
{'task': 'Social media accounts setup', 'status': 'pending'},
{'task': 'Press kit prepared', 'status': 'pending'},
{'task': 'Beta tester feedback collected', 'status': 'pending'},
{'task': 'Launch announcement drafted', 'status': 'pending'}
]
},
{
'category': 'ASO Preparation',
'items': [
{'task': 'Keyword research completed', 'status': 'pending'},
{'task': 'Competitor analysis done', 'status': 'pending'},
{'task': 'A/B test plan created for post-launch', 'status': 'pending'},
{'task': 'Analytics tracking configured', 'status': 'pending'}
]
},
{
'category': 'Quality Assurance',
'items': [
{'task': 'All core features tested', 'status': 'pending'},
{'task': 'User flows validated', 'status': 'pending'},
{'task': 'Performance testing completed', 'status': 'pending'},
{'task': 'Accessibility features tested', 'status': 'pending'},
{'task': 'Security audit completed', 'status': 'pending'}
]
},
{
'category': 'Support Infrastructure',
'items': [
{'task': 'Support email/system setup', 'status': 'pending'},
{'task': 'FAQ page created', 'status': 'pending'},
{'task': 'Documentation for users prepared', 'status': 'pending'},
{'task': 'Team trained on handling reviews', 'status': 'pending'}
]
}
]
def _generate_launch_timeline(self, launch_date: str) -> List[Dict[str, Any]]:
"""Generate timeline with milestones leading to launch."""
launch_dt = datetime.strptime(launch_date, '%Y-%m-%d')
milestones = [
{
'date': (launch_dt - timedelta(days=90)).strftime('%Y-%m-%d'),
'milestone': '90 days before: Complete keyword research and competitor analysis'
},
{
'date': (launch_dt - timedelta(days=60)).strftime('%Y-%m-%d'),
'milestone': '60 days before: Finalize metadata and visual assets'
},
{
'date': (launch_dt - timedelta(days=45)).strftime('%Y-%m-%d'),
'milestone': '45 days before: Begin beta testing program'
},
{
'date': (launch_dt - timedelta(days=30)).strftime('%Y-%m-%d'),
'milestone': '30 days before: Submit app for review (Apple typically takes 1-2 days, Google instant)'
},
{
'date': (launch_dt - timedelta(days=14)).strftime('%Y-%m-%d'),
'milestone': '14 days before: Prepare launch marketing materials'
},
{
'date': (launch_dt - timedelta(days=7)).strftime('%Y-%m-%d'),
'milestone': '7 days before: Set up analytics and monitoring'
},
{
'date': launch_dt.strftime('%Y-%m-%d'),
'milestone': 'Launch Day: Release app and execute marketing plan'
},
{
'date': (launch_dt + timedelta(days=7)).strftime('%Y-%m-%d'),
'milestone': '7 days after: Monitor metrics, respond to reviews, address critical issues'
},
{
'date': (launch_dt + timedelta(days=30)).strftime('%Y-%m-%d'),
'milestone': '30 days after: Analyze launch metrics, plan first update'
}
]
return milestones
def _calculate_checklist_summary(self, checklists: Dict[str, List[Dict[str, Any]]]) -> Dict[str, Any]:
"""Calculate completion summary."""
total_items = 0
completed_items = 0
for platform, categories in checklists.items():
for category in categories:
for item in category['items']:
total_items += 1
if item['status'] == 'completed':
completed_items += 1
completion_percentage = (completed_items / total_items * 100) if total_items > 0 else 0
return {
'total_items': total_items,
'completed_items': completed_items,
'pending_items': total_items - completed_items,
'completion_percentage': round(completion_percentage, 1),
'is_ready_to_launch': completion_percentage == 100
}
def _validate_apple_compliance(
self,
app_data: Dict[str, Any],
validation_results: Dict[str, Any]
) -> None:
"""Validate Apple App Store compliance."""
# Check for required fields
if not app_data.get('privacy_policy_url'):
validation_results['errors'].append("Privacy Policy URL is required")
if not app_data.get('app_icon'):
validation_results['errors'].append("App icon (1024x1024px) is required")
# Check metadata character limits
title = app_data.get('title', '')
if len(title) > 30:
validation_results['errors'].append(f"Title exceeds 30 characters ({len(title)})")
# Warnings for best practices
subtitle = app_data.get('subtitle', '')
if not subtitle:
validation_results['warnings'].append("Subtitle is empty - consider adding for better discoverability")
keywords = app_data.get('keywords', '')
if len(keywords) < 80:
validation_results['warnings'].append(
f"Keywords field underutilized ({len(keywords)}/100 chars) - add more keywords"
)
def _validate_google_compliance(
self,
app_data: Dict[str, Any],
validation_results: Dict[str, Any]
) -> None:
"""Validate Google Play Store compliance."""
# Check for required fields
if not app_data.get('privacy_policy_url'):
validation_results['errors'].append("Privacy Policy URL is required")
if not app_data.get('feature_graphic'):
validation_results['errors'].append("Feature graphic (1024x500px) is required")
# Check metadata character limits
title = app_data.get('title', '')
if len(title) > 50:
validation_results['errors'].append(f"Title exceeds 50 characters ({len(title)})")
short_desc = app_data.get('short_description', '')
if len(short_desc) > 80:
validation_results['errors'].append(f"Short description exceeds 80 characters ({len(short_desc)})")
# Warnings
if not short_desc:
validation_results['warnings'].append("Short description is empty")
def _calculate_next_versions(
self,
current_version: str,
update_frequency: str,
feature_count: int
) -> List[str]:
"""Calculate next version numbers."""
# Parse current version (assume semantic versioning)
parts = current_version.split('.')
major, minor, patch = int(parts[0]), int(parts[1]), int(parts[2] if len(parts) > 2 else 0)
versions = []
for i in range(feature_count):
if update_frequency == 'weekly':
patch += 1
elif update_frequency == 'biweekly':
patch += 1
elif update_frequency == 'monthly':
minor += 1
patch = 0
else: # quarterly
minor += 1
patch = 0
versions.append(f"{major}.{minor}.{patch}")
return versions
def _distribute_features(
self,
features: List[str],
versions: List[str]
) -> List[Dict[str, Any]]:
"""Distribute features across versions."""
features_per_version = max(1, len(features) // len(versions))
schedule = []
for i, version in enumerate(versions):
start_idx = i * features_per_version
end_idx = start_idx + features_per_version if i < len(versions) - 1 else len(features)
schedule.append({
'version': version,
'features': features[start_idx:end_idx],
'release_priority': 'high' if i == 0 else ('medium' if i < len(versions) // 2 else 'low')
})
return schedule
def _generate_whats_new_template(self, version_data: Dict[str, Any]) -> Dict[str, str]:
"""Generate What's New template for version."""
features_list = '\n'.join([f"• {feature}" for feature in version_data['features']])
template = f"""Version {version_data['version']}
{features_list}
We're constantly improving your experience. Thanks for using [App Name]!
Have feedback? Contact us at support@[company].com"""
return {
'version': version_data['version'],
'template': template
}
def _generate_update_recommendations(self, update_frequency: str) -> List[str]:
"""Generate recommendations for update strategy."""
recommendations = []
if update_frequency == 'weekly':
recommendations.append("Weekly updates show active development but ensure quality doesn't suffer")
elif update_frequency == 'monthly':
recommendations.append("Monthly updates are optimal for most apps - balance features and stability")
recommendations.extend([
"Include bug fixes in every update",
"Update 'What's New' section with each release",
"Respond to reviews mentioning fixed issues"
])
return recommendations
def _recommend_day_of_week(self, app_category: str) -> Dict[str, Any]:
"""Recommend best day of week to launch."""
# General recommendations based on category
if app_category.lower() in ['games', 'entertainment']:
return {
'recommended_day': 'Thursday',
'rationale': 'People download entertainment apps before weekend'
}
elif app_category.lower() in ['productivity', 'business']:
return {
'recommended_day': 'Tuesday',
'rationale': 'Business users most active mid-week'
}
else:
return {
'recommended_day': 'Wednesday',
'rationale': 'Mid-week provides good balance and review potential'
}
def _recommend_seasonal_timing(self, app_category: str, current_date: str) -> Dict[str, Any]:
"""Recommend seasonal timing considerations."""
current_dt = datetime.strptime(current_date, '%Y-%m-%d')
month = current_dt.month
# Avoid certain periods
avoid_periods = []
if month == 12:
avoid_periods.append("Late December - low user engagement during holidays")
if month in [7, 8]:
avoid_periods.append("Summer months - some categories see lower engagement")
# Recommend periods
good_periods = []
if month in [1, 9]:
good_periods.append("New Year/Back-to-school - high user engagement")
if month in [10, 11]:
good_periods.append("Pre-holiday season - good for shopping/gift apps")
return {
'current_month': month,
'avoid_periods': avoid_periods,
'good_periods': good_periods
}
def _analyze_competitive_timing(self, app_category: str) -> Dict[str, str]:
"""Analyze competitive timing considerations."""
return {
'recommendation': 'Research competitor launch schedules in your category',
'strategy': 'Avoid launching same week as major competitor updates'
}
def _calculate_optimal_dates(
self,
current_date: str,
day_rec: Dict[str, Any],
seasonal_rec: Dict[str, Any]
) -> List[str]:
"""Calculate optimal launch dates."""
current_dt = datetime.strptime(current_date, '%Y-%m-%d')
# Find next occurrence of recommended day
target_day = day_rec['recommended_day']
days_map = {'Monday': 0, 'Tuesday': 1, 'Wednesday': 2, 'Thursday': 3, 'Friday': 4}
target_day_num = days_map.get(target_day, 2)
days_ahead = (target_day_num - current_dt.weekday()) % 7
if days_ahead == 0:
days_ahead = 7
next_target_date = current_dt + timedelta(days=days_ahead)
optimal_dates = [
next_target_date.strftime('%Y-%m-%d'),
(next_target_date + timedelta(days=7)).strftime('%Y-%m-%d'),
(next_target_date + timedelta(days=14)).strftime('%Y-%m-%d')
]
return optimal_dates
def _generate_timing_recommendation(
self,
optimal_dates: List[str],
seasonal_rec: Dict[str, Any]
) -> str:
"""Generate final timing recommendation."""
if seasonal_rec['avoid_periods']:
return f"Consider launching in {optimal_dates[1]} to avoid {seasonal_rec['avoid_periods'][0]}"
elif seasonal_rec['good_periods']:
return f"Launch on {optimal_dates[0]} to capitalize on {seasonal_rec['good_periods'][0]}"
else:
return f"Recommended launch date: {optimal_dates[0]}"
def _identify_seasonal_opportunities(
self,
app_category: str,
current_month: int
) -> List[Dict[str, Any]]:
"""Identify seasonal opportunities for category."""
opportunities = []
# Universal opportunities
if current_month == 1:
opportunities.append({
'event': 'New Year Resolutions',
'dates': 'January 1-31',
'relevance': 'high' if app_category.lower() in ['health', 'fitness', 'productivity'] else 'medium'
})
if current_month in [11, 12]:
opportunities.append({
'event': 'Holiday Shopping Season',
'dates': 'November-December',
'relevance': 'high' if app_category.lower() in ['shopping', 'gifts'] else 'low'
})
# Category-specific
if app_category.lower() == 'education' and current_month in [8, 9]:
opportunities.append({
'event': 'Back to School',
'dates': 'August-September',
'relevance': 'high'
})
return opportunities
def _generate_seasonal_campaign(self, opportunity: Dict[str, Any]) -> Dict[str, Any]:
"""Generate campaign idea for seasonal opportunity."""
return {
'event': opportunity['event'],
'campaign_idea': f"Create themed visuals and messaging for {opportunity['event']}",
'metadata_updates': 'Update app description and screenshots with seasonal themes',
'promotion_strategy': 'Consider limited-time features or discounts'
}
def _create_seasonal_timeline(self, campaigns: List[Dict[str, Any]]) -> List[str]:
"""Create implementation timeline for campaigns."""
return [
f"30 days before: Plan {campaign['event']} campaign strategy"
for campaign in campaigns
]
def generate_launch_checklist(
platform: str,
app_info: Dict[str, Any],
launch_date: Optional[str] = None
) -> Dict[str, Any]:
"""
Convenience function to generate launch checklist.
Args:
platform: Platform ('apple', 'google', or 'both')
app_info: App information
launch_date: Target launch date
Returns:
Complete launch checklist
"""
generator = LaunchChecklistGenerator(platform)
return generator.generate_prelaunch_checklist(app_info, launch_date)
