Understanding Audit Results

After running an audit on bluekona.ai, you'll receive a comprehensive report filled with metrics, insights, and recommendations. This guide helps you understand what everything means and how to act on it effectively.

Audit Report Structure

Every bluekona.ai audit report follows a consistent structure:

1. Executive Summary

High-level overview and key findings

2. Performance Metrics

Quantitative data about your performance

3. Content Analysis

Deep dive into what content works (and what doesn't)

4. Audience Insights

Who your audience is and how they behave

5. AI Recommendations

Actionable next steps prioritized by impact

6. Trend Analysis

Performance over time (if historical data available)

Let's break down each section.

Executive Summary

Overall Performance Score

What it is: A 0-100 score representing your overall social media health for the analyzed platform(s).

Score ranges:

• 90-100: Excellent - You're crushing it!
• 75-89: Good - Strong performance with room for optimization
• 60-74: Average - Decent foundation, clear improvement opportunities
• 45-59: Below Average - Needs attention and strategy adjustment
• Below 45: Poor - Significant changes needed

What influences the score:

• Engagement rate relative to follower count
• Content consistency
• Audience growth trend
• Reach and impressions
• Content quality indicators

How to use it:

• Track improvement over time
• Set goals (e.g., "reach 80 by next month")
• Compare with previous audits
• Identify when major changes are needed

Key Highlights

Top 3-5 achievements:

• What's working best
• Notable successes
• Positive trends

Example:

"✅ Your video content engagement increased 45% this period" "✅ Posting on Tuesday mornings yields 2x average engagement" "✅ Behind-the-scenes content drives the most followers"

Critical Issues

Areas needing immediate attention:

• Red flags in performance
• Declining metrics
• Missed opportunities

Example:

"⚠️ Engagement rate dropped 30% compared to last audit" "⚠️ No posts published on your optimal days (Wed/Thu)" "⚠️ Your top-performing content type used only 20% of the time"

Performance Metrics

Engagement Metrics

Engagement Rate

• Formula: (Total Engagements ÷ Total Reach) × 100
• Good benchmarks:
  • Instagram: 1-5% (varies by follower count)
  • Facebook: 0.5-1%
  • TikTok: 5-9%
  • YouTube: 2-3%
  • LinkedIn: 2-5%
  • X (Twitter): 0.5-1%

What good engagement rate means:

• Your content resonates with your audience
• Followers are actively interacting
• Algorithm likely favors your content

Total Engagements

• Sum of all interactions (likes, comments, shares, saves, etc.)
• Higher is better
• Compare to previous periods

Types of engagement tracked:

• Passive: Likes, views
• Active: Comments, shares, saves
• High-value: Shares, saves (show deeper engagement)

Reach Metrics

Total Reach

• Number of unique users who saw your content
• Platform-specific calculations
• Includes organic and algorithmic distribution

Impressions

• Total times your content was displayed
• One person can have multiple impressions
• Impressions > Reach always

Reach Rate

• (Reach ÷ Followers) × 100
• Shows what % of audience you're reaching
• Good: 10-20%+
• Concerning: <5%

Growth Metrics

Follower/Subscriber Growth

• Net new followers in audit period
• Growth rate percentage
• Velocity (speed of growth)

Growth Rate

• (New Followers ÷ Total Followers) × 100
• Benchmarks vary widely by account size
• Small accounts: Can see 10-20%/month
• Large accounts: 1-5%/month is excellent

Follower Sources

• Where new followers come from
• Which content drives follows
• Growth attribution

Content Performance Metrics

Average Engagement per Post

• Total engagements ÷ Number of posts
• Helps normalize for posting frequency
• Use to compare different time periods

Best Performing Content

• Top 10 posts by engagement
• Common themes identified
• What made them successful

Posting Frequency

• How often you posted
• Compared to recommended frequency
• Consistency score

Content Analysis

What's Working

Top Content Themes Lists content categories performing best:

• Educational content
• Behind-the-scenes
• User-generated content
• Product showcases
• Testimonials
• Etc.

With data:

"Behind-the-scenes content: 45% of posts, 68% of engagement"

Best Formats

• Which post types work best
• Video vs. image vs. text vs. carousel
• Platform-specific format winners

Example findings:

"Videos generate 3x more engagement than static images" "Carousels have 2.1x higher save rate" "Text-only posts underperform by 60%"

Optimal Post Characteristics

• Ideal caption length
• Hashtag effectiveness
• Call-to-action usage
• Visual style preferences

What's Not Working

Underperforming Content

• Themes with low engagement
• Formats that don't resonate
• Posting patterns to avoid

Example:

"Promotional posts receive 70% less engagement than value-based content" "Posts without faces get 40% fewer likes"

Missed Opportunities

• Content gaps in your strategy
• Underutilized platform features
• Untapped content types

Example:

"You haven't used Instagram Reels, which see 400% more reach" "No posts during your peak engagement window (7-9 PM)"

Content Performance Distribution

The 80/20 Rule Often, 20% of your content drives 80% of engagement.

What bluekona.ai identifies:

• Your top 20% performers
• Common characteristics
• How to replicate success
• What to stop doing

Audience Insights

Demographics

Age & Gender Distribution

• Primary audience age ranges
• Gender breakdown
• How it compares to your target

Geographic Location

• Top countries/regions
• Cities with highest engagement
• Timezone considerations

Professional Data (LinkedIn)

• Job functions
• Seniority levels
• Industries
• Company sizes

Behavior Patterns

Active Times When your audience is online and engaging:

• Best days of week
• Optimal posting hours
• Timezone-adjusted recommendations

Example:

"Your audience is most active:

• Tuesday: 9-11 AM, 7-9 PM
• Wednesday: 10 AM-12 PM, 6-8 PM
• Thursday: 8-10 AM, 7-9 PM"

Engagement Patterns

• How quickly engagement happens after posting
• Peak engagement window duration
• Long-tail engagement patterns

Content Preferences

• What topics they engage with most
• Format preferences
• Interaction style (likers vs. commenters vs. sharers)

Audience Quality

Engagement Quality Not just quantity but quality:

• Comment depth and thoughtfulness
• Share context
• Follower value indicators

Audience Growth Quality

• Follower retention rate
• Engaged new followers vs. passive
• Organic vs. other growth sources

AI Recommendations

How Recommendations Are Prioritized

bluekona.ai ranks recommendations by:

1. Expected Impact (how much improvement likely)
2. Ease of Implementation (how difficult to execute)
3. Strategic Importance (alignment with growth goals)

Recommendation Categories

Quick Wins (⚡ High Impact, Easy)

• Changes you can make immediately
• Require minimal effort
• Likely to show results fast

Example:

"⚡ Post on Tuesdays at 9 AM instead of current random times. Your audience is 2.3x more active then."

Strategic Shifts (🎯 High Impact, Moderate Effort)

• Require planning and consistency
• Take 2-4 weeks to implement
• Significant performance improvement expected

Example:

"🎯 Shift from 80% promotional to 60% educational content. Educational posts show 3x engagement."

Experimental (🧪 Uncertain Impact, Variable Effort)

• Test-and-learn opportunities
• May or may not work for your audience
• Worth trying with low risk

Example:

"🧪 Test Instagram Reels. Similar accounts see 400% more reach. Start with 2/week for 3 weeks."

Best Practices (✅ Baseline, Ongoing)

• Platform-specific standards
• Industry best practices
• Consistency improvements

Example:

"✅ Increase posting frequency from 3x/week to 4-5x/week for better algorithmic favor."

Acting on Recommendations

Immediate (This Week):

1. Implement all Quick Wins
2. Start planning Strategic Shifts
3. Schedule Experimental tests

Short-term (Weeks 2-4):

1. Roll out Strategic Shifts
2. Monitor Quick Win results
3. Evaluate Experimental tests
4. Double down on what works

Ongoing:

1. Maintain Best Practices
2. Track all changes
3. Run follow-up audit
4. Iterate based on results

Trend Analysis

Performance Over Time

If you have historical audits:

• Month-over-month changes
• Growth trajectory
• Improvement areas
• Declining metrics

Trend Indicators:

• ↗️ Trending up (positive momentum)
• ➡️ Stable (consistent performance)
• ↘️ Trending down (needs attention)

What to look for:

• Are you improving?
• Which metrics are getting better/worse?
• Is your strategy working?
• When did significant changes occur?

Comparison to Previous Audits

Side-by-side comparison:

• Current vs. last audit
• Current vs. 3 months ago
• Current vs. first audit (baseline)

Key questions answered:

• Are recommendations working?
• Should you continue current strategy?
• Where have you improved most?
• What still needs work?

Platform-Specific Metrics Explained

Facebook

Page Actions: Profile visits, website clicks, "Get Directions" clicks Reactions: Like, Love, Haha, Wow, Sad, Angry (more valuable than just "likes") Page Views: Different from post reach—people visiting your page

Instagram

Saves: High-value engagement, users want to revisit your content Profile Visits from Post: Content driving discovery Accounts Reached: Different from impressions—unique accounts Feed vs. Reels Performance: Separate analysis for each format

YouTube

Watch Time: Total minutes watched (key metric for YouTube algorithm) Average View Duration: How long people stay watching CTR (Click-Through Rate): Thumbnail/title effectiveness Retention Curve: Where viewers drop off in videos

X (Twitter)

Impressions: How many times tweet shown Detail Expands: Users clicking to see full tweet Profile Clicks: Tweet driving profile visits URL Clicks: Link clicks from tweets

TikTok

Completion Rate: % who watched entire video (critical metric) Average Watch Time: How much of video people watch FYP Views: Views from For You Page (algorithm exposure) Profile Views from Video: Videos driving discovery

LinkedIn

Social Actions: Total professional interactions Click-Through Rate: How often people click links Follower Demographics: Job functions, seniority, industries Engagement by Audience Segment: Which professionals engage most

Common Questions About Results

Q: Why does my engagement rate seem low? A: Engagement rates naturally decrease as you gain more followers. What matters is the trend and comparison to your own history, not arbitrary benchmarks.

Q: Which metrics matter most? A: Depends on your goals:

• Brand awareness: Reach, impressions
• Community building: Comments, shares, saves
• Growth: Follower increase, profile visits
• Traffic: Link clicks, CTR
• Sales: Conversion actions

Q: My numbers don't match the platform's native analytics exactly. A: Slight variations are normal due to:

• Different time zones
• Analysis window differences
• API vs. UI calculations
• Data sync timing

Q: How do I know if I'm improving? A: Compare against your previous audits, not just arbitrary benchmarks. Look for positive trends over time.

Q: Should I focus on one metric? A: No, look at the holistic picture. A balanced approach considering engagement, reach, and growth is best.

Taking Action: A Framework

Step 1: Review (15 minutes)

• Read entire report
• Highlight surprising findings
• Note all recommendations
• Identify quick wins

Step 2: Prioritize (10 minutes)

• List top 3-5 actions
• Consider resources available
• Factor in strategic goals
• Balance quick wins vs. strategic shifts

Step 3: Plan (20 minutes)

• Create implementation timeline
• Assign responsibilities (if team)
• Set specific, measurable goals
• Schedule follow-up audit

Step 4: Execute (Ongoing)

• Implement changes
• Track what you're testing
• Document results
• Stay consistent

Step 5: Measure (Next Audit)

• Run follow-up audit
• Compare to previous results
• Celebrate wins
• Iterate on what didn't work

Report Features

Download & Sharing

Export Options:

• PDF report for presentations
• CSV data for further analysis
• Shareable links for team members

Use cases:

• Team meetings
• Client reports (for agencies)
• Executive presentations
• Historical records

Saving & Accessing Past Audits

All audits are automatically saved:

• Access anytime from Analysis page
• Compare across time periods
• Track long-term progress
• Reference past insights

Getting the Most Value

Do:

• ✅ Read the full report, not just summary
• ✅ Take notes on key findings
• ✅ Implement recommendations systematically
• ✅ Run follow-up audits to track progress
• ✅ Share insights with your team

Don't:

• ❌ Get overwhelmed by all metrics
• ❌ Try to implement everything at once
• ❌ Ignore qualitative insights
• ❌ Compare yourself only to others
• ❌ Make drastic changes based on one audit

Next Steps

Now that you understand your audit results:

• Learn about AI analysis methodology
• Deep dive into platform-specific metrics
• Run your next audit
• Explore audit scheduling

Pro Tip: Create a simple spreadsheet tracking your key metrics over time. This helps visualize progress beyond individual audit reports.

Need help interpreting your results? Contact support or visit our troubleshooting guide.