Optimal posting times vary by platform and audience. Generic "best time" advice fails because your specific audience behavior matters more than industry averages.
Platform-Specific Posting Windows
| Platform | Best Days | Best Times | Primary Audience Mindset |
|---|---|---|---|
| Tuesday-Thursday | 1-3 PM | Work break, desktop \+ mobile mix | |
| Wednesday-Friday | 6-9 PM | Evening leisure, mobile-first | |
| TikTok | Monday, Thursday | 6-10 PM | Entertainment seeking, high engagement |
| Tuesday-Thursday | 7-9 AM | Professional mode, commute \+ morning routine | |
| YouTube | Friday | 2 PM upload | Weekend preparation, consistent schedule |
| Tuesday-Wednesday | All-day | Planning mode, evergreen search | |
| Twitter/X | Monday-Friday | 8-10 AM, 5-7 PM | Real-time conversation, news consumption |
These are starting points, not absolutes. Your data determines your actual best times.
1\. Facebook: Weekday Midday Strategy
Optimal window: Tuesday-Thursday, 1-3 PM
Why This Window Works
Midday captures users during work breaks. Desktop and mobile mix creates audience diversity. Competition is moderate compared to evening saturation.
User behavior at 1-3 PM:
- Mental break from work tasks
- Quick social media check-ins
- Higher receptivity to informational content
- Mix of scrolling and intentional browsing
Algorithm prioritizes fresh content. Posts published during high-activity windows get immediate visibility boost. Initial engagement signals quality, triggering expanded reach.
Performance Data
B2B SaaS results:
- 23% higher conversion rates for thought leadership content
- Tuesday 1-2 PM shows strongest performance
- Desktop users more likely to complete forms
Lead generation campaigns:
- 18% performance lift during midday vs. evening
- Professional services (law, finance) benefit most
- Lower CPC during moderate competition windows
Implementation Tactics
Verify with your data:
- Review last 90 days of Facebook performance
- Identify engagement peaks by hour/day
- Compare midday vs. evening performance
- Filter by campaign objective (awareness vs. conversion)
Time zone targeting:
- Schedule based on audience location, not yours
- Use Facebook's automatic timezone delivery
- Major metro areas: ET for East Coast, PT for West Coast
- National campaigns: test multiple time zones separately
Testing framework:
- Week 1-2: Baseline at Tuesday-Thursday 1-3 PM
- Week 3-4: Test Monday 1-3 PM variant
- Week 5-6: Test Wednesday 7-9 PM variant
- Analyze which drives lowest CPA or highest ROAS
Maximize impression share:
- Schedule 2-3 different creatives across the window
- Avoid posting same content twice in 24 hours
- Spread budget across days to maintain presence
- Test carousel vs. single image during peak hours
2\. Instagram: Peak Evening Strategy
Optimal window: Wednesday-Friday, 6-9 PM
Why This Window Works
Post-work transition creates high engagement environment. Users shift from production to consumption mindset. Visual commerce thrives during relaxed browsing.
User behavior at 6-9 PM:
- Active Story watching and Reels consumption
- Higher likelihood of impulse purchases
- Extended session times
- Mobile-exclusive behavior
Algorithm prioritizes rapid engagement. Content receiving quick likes/comments/saves gets Explore page distribution. Evening volume creates viral potential.
Performance Data
DTC fashion brands:
- 2.3x ROAS from Wednesday 7 PM carousel ads
- Significantly higher than morning/afternoon posts
- Visual appeal \+ evening browsing \= conversion spike
E-commerce overall:
- 31% increase in add-to-cart rates during 6-9 PM
- Stories ads outperform Feed during this window
- Reels see 40%+ higher completion rates
Brand examples:
- Shein consistently posts new collections 6-8 PM
- Fashion Nova schedules launches Wednesday evenings
- DTC beauty brands see peak performance Thursday 7 PM
Implementation Tactics
Prioritize Reels:
- Reels get 2-3x more reach than static posts evening
- 15-30 second length performs best
- Hook in first 3 seconds critical
- Vertical 9:16 format required
Test carousel collections:
- 3-5 slides optimal for products
- First slide must stop scroll
- Include pricing and clear CTA
- Mobile-optimized text (readable without zoom)
Leverage trending audio:
- Check Reels Explore for trending sounds
- Use within 48 hours of trend emergence
- Match audio vibe to brand aesthetic
- Don't force mismatched trends
Creative variation testing:
- Generate 10-20 variations per concept
- Test different hooks, CTAs, visuals
- Run simultaneously Wed-Fri 6-9 PM
- Kill underperformers after 48 hours, scale winners
Tools for testing:
- Ryze AI: Automated creative testing and budget optimization for Meta campaigns
- Later: Visual content calendar and auto-posting
- Planoly: Instagram-specific scheduling
- Canva: Quick Reels and carousel creation
3\. TikTok: Viral Window Strategy
Optimal window: Monday and Thursday, 6-10 PM
Why This Window Works
Algorithm prioritizes fresh content aggressively. First few hours determine viral potential. Evening engagement creates momentum for FYP distribution.
User behavior Monday/Thursday evenings:
- Monday: "Start of week" energy, high engagement
- Thursday: Weekend anticipation, extended sessions
- Both: Peak entertainment consumption
- High completion rate potential
TikTok cares about completion rate and watch time over follower count. Publishing during peak activity ensures initial impression volume needed to trigger FYP.
Performance Data
E-commerce with TikTok Shop:
- 4.2x sales lift on Monday evening posts
- Product videos posted 8 PM Thursday generate most revenue
- 5M+ views achievable with trending sound \+ good timing
Viral benchmarks:
- Videos posted Monday 6-8 PM: 40% higher FYP chance
- Thursday 8-10 PM: Extended watch sessions boost completion
- Off-peak posts rarely achieve same reach even with better creative
Brand examples:
- Ryanair schedules humor content Monday evenings
- Elf Cosmetics launches product videos Thursday 7-9 PM
- Both maintain consistent posting cadence during these windows
Implementation Tactics
Hook in first 3 seconds:
- Completion rate is primary ranking factor
- Pattern interrupt required immediately
- Text overlay with bold claim works
- Visual surprise or unexpected opening
Trending sounds within 48 hours:
- Check Discover page daily
- Use while sound is rising, not peaked
- Trending sounds get algorithmic boost
- Original audio rarely performs as well
Optimize video length:
- 21-34 seconds is completion rate sweet spot
- Too short (under 15s): Doesn't feel substantial
- Too long (45s+): Completion rate drops
- Test your specific audience
Posting frequency:
- 3-7 videos per week recommended
- Schedule 2-3 best concepts for Monday/Thursday peaks
- Fill other days with experimental content
- Consistency matters more than perfection
Immediate engagement:
- Reply to comments within first hour
- Signals activity to algorithm
- Triggers additional distribution push
- Creates conversation momentum
4\. LinkedIn: B2B Weekday Morning Strategy
Optimal window: Tuesday-Thursday, 7-9 AM
Why This Window Works
Professional mindset at peak. Users checking LinkedIn during commute, pre-work routine. High receptivity to business content.
User behavior at 7-9 AM:
- Catching up on industry news
- Professional development mode
- Commute scrolling (mobile)
- Desktop check-in before starting work
Algorithm prioritizes fresh, engaging content. Morning posts get visibility throughout business day. Early engagement compounds as more users come online.
Performance Data
B2B SaaS lead generation:
- 15-18 qualified leads per $100 ad spend
- Tuesday 8 AM posts perform best
- 40% higher form completion vs. afternoon posts
Recruiting effectiveness:
- 3.5x higher application rates for 7-9 AM job posts
- Reaches both active and passive candidates
- Morning visibility carries through day
Implementation Tactics
Lead with insight, not sales pitch:
- Start with data point, question, or insight
- Hard sell underperforms in discovery mode
- Educational content drives engagement
- Save product pitch for comments/replies
High-engagement formats:
- Document carousels (PDFs): 2-3x engagement vs. link posts
- Native LinkedIn articles: Keep users on platform
- Video posts: Higher reach than external links
- Polls: Drive comments and discussion
Clear call-to-action:
- Every post needs defined next step
- Lead form for whitepaper download
- Click to website for demo
- Question to spark comments
Strategic tagging:
- Tag relevant companies (notify employees)
- Reference job titles in content ("CFOs," "Marketing Directors")
- Don't overuse tags (looks spammy)
- Tag when genuinely relevant
Engagement velocity:
- First 30-60 minutes critical
- Respond to comments immediately
- Signals activity to algorithm
- Amplifies organic reach significantly
Tools for LinkedIn:
- LinkedIn Campaign Manager: Native scheduling and analytics
- Hootsuite: Multi-platform including LinkedIn
- Buffer: Simple scheduling interface
- Sprout Social: Team collaboration features
5\. YouTube: Upload Consistency Strategy
Optimal timing: Friday 2 PM \+ consistent weekly schedule
Why This Works
Friday upload catches weekend preparation mindset. Algorithm indexes video before peak Saturday/Sunday watch time. Consistency trains audience and algorithm.
Strategic benefits:
- Friday afternoon: Users looking for weekend content
- 48-hour indexing window before peak viewing
- Consistent schedule builds subscriber expectation
- Algorithm rewards reliability
YouTube prioritizes channels that act like TV networks. Predictable schedule creates viewership habits. Subscriber anticipation drives initial engagement, triggering algorithmic promotion.
Performance Data
Upload time impact:
- Friday 2 PM videos get 2.5x more weekend views
- Consistent schedule channels grow 3x faster
- Educational content peaks Saturday mornings (from Friday uploads)
B2B SaaS examples:
- Weekly educational videos: 3x more qualified leads
- Product review channels: 150M+ monthly views with consistent Friday uploads
- Consistency matters more than single upload time
Implementation Tactics
Establish upload cadence:
- Choose specific day/time (Friday 2 PM recommended)
- Never deviate from schedule
- Audience trains to expect content
- Algorithm learns your pattern
Batch production:
- Create content calendar 4-8 weeks ahead
- Batch film and edit videos
- Prevents scrambling at deadline
- Maintains consistent quality
Pre-launch hype:
- Use Community tab Thursday evening
- Post behind-scenes clips Friday morning
- Build anticipation before release
- Drives initial viewership surge
Optimize for clicks:
- Titles: Clear, keyword-rich, curiosity-driven
- Thumbnails: High contrast, faces, text overlay
- Target 6-10% CTR minimum
- A/B test thumbnails on existing videos
Tools for YouTube:
- TubeBuddy: SEO and analytics
- VidIQ: Keyword research and optimization
- Canva: Thumbnail creation
- Descript: Video editing with transcription
6\. Pinterest: Long-Tail Strategy
Optimal timing: Tuesday-Wednesday, all-day posting (evergreen focus)
Why This Works
Pinterest functions as visual search engine, not real-time feed. Content lifespan measured in months, not hours. Mid-week posting allows gradual distribution.
Platform mechanics:
- Pins distributed gradually over time
- Tuesday/Wednesday posts gain momentum through week
- Weekend traffic benefits from mid-week seeding
- Single pin drives traffic for months
Users have high commercial intent. Planning purchases, projects, events weeks ahead. Evergreen content compounds value over time.
Performance Data
E-commerce ROI:
- $2-4 revenue per pin (home goods, clothing)
- Single pin can generate sales for 6+ months
- Long-tail traffic compounds monthly
Traffic generation:
- Wedding planners: 40-60% total traffic from Pinterest
- DIY/home improvement: 5M+ monthly pin impressions
- Sustained traffic without ongoing posting
Implementation Tactics
Prioritize evergreen content:
- Timeless topics over trending news
- "How to" guides
- Product showcases
- Seasonal content posted 2-3 months early
Create pin variations:
- 10-15 unique pins per blog post/product
- Different images, text overlays, descriptions
- Test which formats drive most clicks
- Maximize reach across user preferences
Optimize format and keywords:
- Vertical pins: 1000x1500px ideal
- Takes more screen space
- Keyword-rich descriptions (SEO mindset)
- Treat each pin as search optimization opportunity
Leverage Rich Pins:
- E-commerce: Auto-sync product info (price, availability)
- Recipe pins: Include ingredients, cook time
- Article pins: Include headline, author, description
- Higher CTR than standard pins
Tools for Pinterest:
- Tailwind: Scheduling and analytics for Pinterest
- Canva: Pin design templates
- Pinterest Analytics: Native performance tracking
- Later: Visual content calendar
7\. Twitter/X: Real-Time Strategy
Optimal windows: Monday-Friday, 8-10 AM and 5-7 PM
Why This Works
Real-time conversation platform. Algorithm prioritizes engagement velocity over scheduled timing. Peak windows capture professional audience.
User behavior during peak windows:
- 8-10 AM: Starting workday, news consumption
- 5-7 PM: Ending workday, catching up
- Both: High professional/industry discussion
- Active participation required
First 60 minutes after posting determine reach. Tweets with rapid replies, likes, retweets get amplified. Peak windows provide audience for initial engagement.
Performance Data
B2B SaaS lead generation:
- 150+ qualified leads per month from consistent engagement
- Morning window (8-10 AM) drives more professional discussion
- Evening window (5-7 PM) gets broader reach
Product launches:
- 500K+ impressions achievable in single day
- 8-10 AM launch timing builds day-long momentum
- Thread format generates 2-3x more engagement
Implementation Tactics
Engage immediately:
- Post during peak windows (8-10 AM or 5-7 PM)
- Stay online for 60+ minutes after posting
- Respond to mentions within 30 minutes
- Active engagement signals algorithm
Use thread format:
- 3-5 tweet threads get 2-3x engagement vs. single tweet
- Break down complex topics
- Each tweet should stand alone
- Hook in first tweet critical
Ask questions:
- Invite responses explicitly
- End tweets with questions
- Makes engagement easy
- Fuels algorithmic velocity
Join existing conversations:
- Monitor industry hashtags
- Participate in trending discussions
- Reply to thought leaders in your niche
- Often more effective than solo posting
Tools for Twitter/X:
- TweetDeck: Monitor multiple feeds, schedule tweets
- Hootsuite: Multi-platform including Twitter
- Buffer: Analytics and scheduling
- Typefully: Thread writing and scheduling
Platform Strategy Comparison
| Platform | Complexity | Resource Needs | Expected Outcomes | Best For |
|---|---|---|---|---|
| Facebook (Tue-Thu 1-3 PM) | Moderate | Moderate creative \+ targeting | Higher CTR, improved CPA | B2B SaaS, professional services, lead gen |
| Instagram (Wed-Fri 6-9 PM) | Moderate-High | High-quality video/visual | Peak engagement, e-commerce conversions | DTC fashion, lifestyle, visual commerce |
| TikTok (Mon/Thu 6-10 PM) | High | Continuous video production | Viral reach, low CPV | Gen Z targeting, trend-driven, entertainment |
| LinkedIn (Tue-Thu 7-9 AM) | Moderate | Thought leadership content | Higher-quality leads, lower B2B CPL | B2B SaaS, recruiting, consulting |
| YouTube (Fri 2 PM weekly) | Medium-High | Video production, consistency | Channel authority, weekend views | Education, reviews, brand storytelling |
| Pinterest (Tue-Wed all-day) | Low-Moderate | Image design, keyword research | Long-term traffic, low CPC | Home, DIY, wedding, e-commerce lifestyle |
| Twitter/X (Mon-Fri 8-10 AM/5-7 PM) | High | Active monitoring, fast content | Real-time reach, thought leadership | B2B thought leadership, product launches |
From Best Practices to Your Best Performance
Industry benchmarks are starting points, not endpoints. Your optimal posting schedule requires testing.
Why Generic Timing Fails
Audience differences:
- B2B vs. B2C behavior
- Geographic distribution
- Age and demographic variations
- Product category influences timing
Objective differences:
- Awareness vs. conversion campaigns
- Different metrics require different timing
- Peak engagement ≠ peak conversions
- Your KPI determines "best" time
Example: E-commerce brand finds Wednesday evening drives high engagement (likes, comments) but Friday afternoon generates higher ROAS (weekend purchase planning). Optimize for ROAS, not engagement.
Testing Framework
1\. Establish baseline (2-4 weeks):
- Use platform-specific schedules from this guide
- Maintain consistent creative and targeting
- Collect performance data
- Create control group for comparison
2\. Isolate variables:
- Test one change at a time
- Same creative, different day/time
- Run variants simultaneously when possible
- Minimum 7-day test periods
3\. Define success metrics:
- Primary KPI: ROAS, CPA, CPL, or engagement rate
- Secondary metrics: CTR, conversion rate
- "Best" time changes based on metric
- Optimize for business outcome, not vanity metrics
4\. Analyze and iterate:
- Compare variant to baseline
- Statistical significance required (95% confidence)
- Winner becomes new baseline
- Losers get discarded, test new hypothesis
Testing Example
Facebook lead generation campaign:
Baseline (Week 1-2):
- Tuesday 1 PM posting
- $500 budget
- Result: 50 leads at $10 CPL
Test Variant A (Week 3-4):
- Wednesday 3 PM posting
- $500 budget
- Result: 45 leads at $11.11 CPL
- Decision: Discard, worse than baseline
Test Variant B (Week 5-6):
- Thursday 11 AM posting
- $500 budget
- Result: 60 leads at $8.33 CPL
- Decision: New baseline (16.7% improvement)
Test Variant C (Week 7-8):
- Thursday 11 AM \+ Thursday 2 PM (split budget)
- $500 budget
- Result: 65 leads at $7.69 CPL
- Decision: New baseline (7.7% additional improvement)
Continue iterating to find optimal schedule for your specific audience and objective.
Automation and AI Optimization
Manual testing works but doesn't scale. AI automation dramatically accelerates optimization.
How AI Improves Timing
Pattern recognition:
- Analyzes thousands of data points
- Identifies timing patterns humans miss
- Accounts for day-of-week, time-of-day, seasonality
- Continuously learns from new data
Automated testing:
- Runs hundreds of timing variations simultaneously
- Tests creative \+ audience \+ timing combinations
- Identifies winners faster than manual testing
- Scales across multiple campaigns/platforms
Dynamic optimization:
- Shifts budget to best-performing time slots
- Adjusts based on real-time performance
- Responds to changes in audience behavior
- No manual intervention required
AI Tools for Social Media Timing
Campaign management and optimization:
- Ryze AI: AI-powered campaign optimization for Google and Meta, automatically tests timing and creative variations
- Smartly.io: Automated creative and timing optimization
- Metadata.io: B2B campaign automation with scheduling
- Hootsuite: AI-powered best time recommendations
Analytics and insights:
- Sprout Social: Optimal send time features
- Buffer: Analytics with timing recommendations
- Later: Best time to post analysis
- Socialbakers: Competitive timing benchmarks
Implementation Workflow
1\. Connect platforms:
- Link social accounts to optimization tool
- Enable API access for data collection
- Set up conversion tracking
- Define primary KPIs
2\. Set performance targets:
- Target CPA, ROAS, or engagement rate
- Budget constraints
- Minimum performance thresholds
- Pause rules for underperformers
3\. Configure automation:
- Schedule content creation workflow
- Set up A/B testing rules
- Define winning criteria (statistical significance)
- Establish budget allocation rules
4\. Monitor and refine:
- Review weekly performance reports
- Identify patterns in winning times
- Adjust creative strategy based on insights
- Scale budgets to proven windows
Advanced Timing Strategies
Seasonal Adjustments
Optimal posting times shift seasonally.
Holiday periods:
- Q4: Earlier posting times (users busy evenings)
- Summer: Later evening posts (longer daylight, delayed routines)
- Back-to-school: Morning posts peak (schedule changes)
Industry-specific seasons:
- Tax season (finance): Early morning spikes
- Wedding season (event planning): Weekend activity increases
- Black Friday/Cyber Monday: 24/7 posting required
Track year-over-year patterns to anticipate shifts.
Multi-Platform Coordination
Don't post identical content simultaneously across platforms.
Stagger timing:
- LinkedIn: 8 AM
- Facebook: 1 PM
- Instagram: 7 PM
- Gives each platform fresh content window
Platform-specific creative:
- LinkedIn: Professional, long-form
- Instagram: Visual, short-form
- Twitter: Conversational, real-time
Cross-promotion:
- Tease Instagram content on Facebook
- Share LinkedIn article on Twitter
- Drive YouTube subscribers via Instagram
Geographic Targeting
National campaigns need time zone consideration.
US time zone strategy:
- East Coast emphasis: Schedule ET
- West Coast emphasis: Schedule PT
- National: Test both, possibly post twice
- Use platform auto-scheduling when available
International campaigns:
- Create separate ad sets per region
- Schedule based on local peak times
- Account for cultural differences (work hours vary)
- Test regional preferences independently
Measurement and Reporting
Track timing impact systematically.
Key Metrics by Objective
Awareness campaigns:
- Reach (unique users)
- Impressions (total views)
- Engagement rate (interactions / reach)
- Share of voice during time window
Consideration campaigns:
- Click-through rate (CTR)
- Cost per click (CPC)
- Video view rate
- Time spent on content
Conversion campaigns:
- Conversion rate
- Cost per acquisition (CPA)
- Return on ad spend (ROAS)
- Customer lifetime value (CLV)
Reporting Template
Weekly timing analysis:
| Platform | Day/Time | Budget | Reach | Clicks | Conversions | CPA | Notes |
|---|---|---|---|---|---|---|---|
| Tue 1 PM | $200 | 8,500 | 127 | 12 | $16.67 | Baseline performance | |
| Wed 3 PM | $200 | 7,200 | 98 | 8 | $25.00 | Underperformed baseline | |
| Wed 7 PM | $300 | 12,000 | 215 | 28 | $10.71 | Best performer this week | |
| Thu 8 AM | $150 | 3,200 | 86 | 9 | $16.67 | Quality leads, lower volume |
Monthly summary:
- Best-performing day/time combinations
- Worst-performing slots (to avoid)
- Trends over 4-week period
- Recommendations for next month
Common Timing Mistakes
Posting Outside Audience Active Hours
Don't schedule based on your convenience.
Problem:
- West Coast team posts 9 AM PT (noon ET)
- Misses East Coast morning window
- Lower engagement from primary audience
Solution:
- Schedule based on audience location
- Use platform auto-timezone features
- Test major metro areas separately
Over-Posting During Peak Windows
More isn't better if it's same audience.
Problem:
- Posting 5x daily at same time
- Audience fatigue
- Self-competition for impressions
- Diminishing returns
Solution:
- Spread posts across day
- Different content types for different times
- Respect frequency limits (platform-dependent)
Ignoring Time Zone Complexity
National campaigns need nuance.
Problem:
- Single 2 PM ET post
- West Coast sees at 11 AM (low engagement window)
- Misses PT peak hours entirely
Solution:
- Create separate campaigns by timezone
- Schedule 2 PM ET and 2 PM PT posts
- Use geo-targeting with time-specific budgets
Testing Too Many Variables
Can't isolate timing impact.
Problem:
- Change time \+ creative \+ audience \+ platform simultaneously
- Unknown which variable drove results
- Can't replicate or scale findings
Solution:
- Test one variable at a time
- Keep creative and audience constant when testing time
- Document what changed in each test
Stopping Too Early
Need sufficient data for conclusions.
Problem:
- Test for 2-3 days
- Declare winner prematurely
- Results not statistically significant
Solution:
- Minimum 7-day tests (ideally 14 days)
- Reach statistical significance (95% confidence)
- Account for day-of-week variations
Quick Reference Guide
By Campaign Objective
Brand awareness:
- Instagram: Wed-Fri 6-9 PM (visual impact)
- TikTok: Mon/Thu 6-10 PM (viral potential)
- YouTube: Fri 2 PM (weekend views)
Lead generation:
- Facebook: Tue-Thu 1-3 PM (professional mindset)
- LinkedIn: Tue-Thu 7-9 AM (decision-maker access)
- Twitter: Mon-Fri 8-10 AM (B2B discussions)
E-commerce sales:
- Instagram: Wed-Fri 6-9 PM (impulse buying)
- Pinterest: Tue-Wed all-day (planning purchases)
- Facebook: Thu-Fri 1-3 PM (weekend shopping prep)
Thought leadership:
- LinkedIn: Tue-Thu 7-9 AM (professional consumption)
- Twitter: Mon-Fri 8-10 AM (industry discussions)
- YouTube: Fri 2 PM (deep dives)
By Industry
B2B SaaS:
- Primary: LinkedIn Tue-Thu 7-9 AM
- Secondary: Twitter Mon-Fri 8-10 AM
- Tertiary: Facebook Tue-Thu 1-3 PM
E-commerce/DTC:
- Primary: Instagram Wed-Fri 6-9 PM
- Secondary: TikTok Mon/Thu 6-10 PM
- Tertiary: Pinterest Tue-Wed all-day
Professional services:
- Primary: LinkedIn Tue-Thu 7-9 AM
- Secondary: Facebook Tue-Thu 1-3 PM
- Tertiary: Twitter Mon-Fri 8-10 AM
Content creators:
- Primary: YouTube Fri 2 PM (consistent)
- Secondary: TikTok Mon/Thu 6-10 PM
- Tertiary: Instagram Wed-Fri 6-9 PM
Conclusion
Platform-specific timing matters, but your specific data matters more.
Core principles:
- Start with platform benchmarks (this guide)
- Test systematically (one variable at a time)
- Optimize for business outcomes (ROAS, CPA), not engagement
- Automate when possible (AI tools scale testing)
- Iterate continuously (audience behavior shifts)
Implementation priorities:
- Implement baseline schedule (platform-specific windows from this guide)
- Track performance rigorously (time-stamped data for 2-4 weeks)
- Test one variable weekly (new day or time, same creative/audience)
- Scale winners, kill losers (shift budget to proven windows)
- Automate optimization (AI tools for continuous improvement)
Generic "best times" are hypotheses to test, not rules to follow blindly. Your audience's behavior determines your optimal schedule.
The goal isn't finding the perfect time. It's building a testing system that continuously discovers what works best for your specific business.







