Every social post published through ILLIXIS generates engagement data that feeds the preference learning system. The platform captures four core metrics plus contextual features.
Primary metrics:
Sync schedule: Engagement data syncs from the social publishing integration every 4 hours for published posts. New posts may take 4-6 hours to show metrics.
When engagement data syncs, ILLIXIS records these features for learning:
Why these features matter: If LinkedIn posts with 2-3 hashtags consistently outperform posts with 10+ hashtags, the system learns your audience prefers minimal hashtags. If Instagram posts with images get 4x engagement vs text-only, it learns to recommend visual content.
After syncing engagement metrics, ILLIXIS calculates an engagement rate and creates a preference signal for learning.
Engagement Rate = (Likes + Comments + Shares) / Impressions × 100
Example:
Based on engagement rate, the system assigns an outcome score:
| Engagement Rate | Outcome Score | Interpretation |
|-----------------|---------------|----------------|
| ≥5% | 1.0 | High engagement — positive signal |
| 1-5% | 0.5 | Medium engagement — neutral signal |
| <1% | 0.2 | Low engagement — negative signal |
What this means: A post with 6% engagement creates a strong positive signal. The system learns which features (platform, post type, hashtag count, etc.) contributed to that success. A post with 0.5% engagement creates a negative signal, teaching the system to avoid similar combinations.
As you publish more social posts, the preference learning system identifies patterns across four dimensions.
If you use Campaign Planner templates (e.g., "Product Launch," "Weekly Roundup"), ILLIXIS tracks engagement rates per template and calculates a success score.
Success score formula:
Example:
How this impacts recommendations: When creating a new campaign, ILLIXIS ranks templates by success score. The Product Launch template appears first, Weekly Roundup appears lower. Templates with proven engagement rates get priority.
The system identifies which platforms perform best for your audience.
Pattern detected:
Recommendation adjustment: When suggesting social distribution, the system prioritizes LinkedIn. If you're planning 10 posts, it recommends 5 LinkedIn, 3 Instagram, 2 Twitter instead of equal distribution.
If "educational" posts consistently outperform "promotional" posts, the system learns your audience prefers education over sales pitches.
Example pattern:
How this affects recommendations: Campaign templates with more educational posts rank higher. The system recommends post type distribution: 50% educational, 25% social proof, 15% behind-the-scenes, 10% promotional.
The system learns whether your audience prefers visual content (images/video) or text-only posts.
Pattern detected:
Recommendation: When generating social captions, ILLIXIS suggests using images or video more frequently. If you create a campaign, it recommends including image generation or quote graphics in the plan.
Navigate to Campaigns → Campaign Planner → Templates to see performance data.
Each template displays:
Sort by success score to see which templates perform best for your audience.
Minimum requirement: 20 published social posts with engagement data
Until you publish 20 posts, templates use default success scores based on usage count only. Once you cross 20 posts, engagement-based scoring activates.
Timeline expectations:
Week 1 (0-20 posts): No engagement-based learning yet. Templates ranked by usage count. Publish consistently to build your dataset.
Weeks 2-3 (20-50 posts): First engagement scoring activates. You'll start seeing templates with 4%+ engagement rates ranked above templates with 2% rates.
Month 2 (50-100 posts): Clear patterns emerge. You'll know which platforms, post types, and templates work for your audience. Recommendations become reliable.
Month 3+ (100+ posts): Strong predictive accuracy. The system anticipates which campaign templates will perform well before you launch them.
As preference signals accumulate, ILLIXIS adjusts recommendations in three areas.
When creating a new campaign, the template selection screen sorts by success score. Templates with proven engagement appear first.
Before learning (Week 1):
After learning (Month 2):
Campaign templates include post type guidance (e.g., "Day 0: Announcement, Day 2: Feature highlight"). As the system learns which post types perform, it adjusts these recommendations.
Before learning:
After learning (if educational posts perform best):
When Maya recommends a campaign or you create a distribution plan, platform suggestions reflect engagement data.
Before learning:
After learning (if LinkedIn performs 3x better):
Every night at 2:30 AM, ILLIXIS recalculates template performance metrics using the latest engagement data.
What happens during the update:
Logs: Check admin logs to verify nightly updates ran successfully. If metrics haven't updated in 24+ hours, the scheduled task may need attention -- contact support.
1. Publish consistently across platforms Don't post only to LinkedIn. Publish to 3-4 platforms so the system learns platform-specific patterns. If you only publish to LinkedIn, you can't learn whether Instagram would perform better.
2. Test different post types Don't use only "announcement" posts. Mix in educational, social proof, behind-the-scenes, and urgency posts. The system needs variety to learn preferences.
3. Use campaign templates Templates aggregate data across multiple campaigns. If you manually schedule posts without templates, the system can't track template-level performance.
4. Let posts age before judging Engagement data needs 4-6 hours to sync. A post published at 9 AM won't show metrics until 1-3 PM. Give it 24 hours before evaluating performance.
5. Review analytics monthly Check Campaigns → Campaign Planner → Templates monthly. Archive or update low-performing templates. Create new templates based on discovered patterns.
Does NOT learn:
What you must still do manually:
Q: Does this replace the general Preference Learning system? A: No. These are separate systems. General Preference Learning (Settings → Preference Learning) learns which briefs and opportunities you approve. Social Preference Learning learns which social content performs best. Both run independently.
Q: Do I need to approve every social post for learning to work? A: No. Learning happens automatically when posts publish and engagement syncs. You don't need to manually approve or rate posts.
Q: What happens if I delete a campaign? A: Engagement signals from published posts persist even if you delete the campaign. Historical data remains for learning. Only the campaign structure gets deleted.
Q: Can I disable social learning for specific templates? A: Not currently. All templates with published posts contribute to learning. If you don't want a template to influence recommendations, archive it.
Q: How do I reset social learning if my strategy changes? A: Delete or archive old templates and create new ones. Template performance metrics are template-specific, so new templates start with a clean slate.
Q: Why don't my new templates show engagement rates? A: New templates require at least one completed campaign with published posts. Engagement rate remains null until the first post syncs data.
Q: Does social learning work with Social Studio (Freestyle mode)? A: Not yet. Social learning currently tracks Campaign Planner posts only. Social Studio posts (quote graphics, video scripts) don't create preference signals. Planned for future phase.
Q: What if I publish posts directly to platforms (not through ILLIXIS)? A: Those posts don't create preference signals. Only posts scheduled/published via ILLIXIS Social Hub generate learning data.
Algorithm: Weighted success scoring (usage + engagement) Engagement rate calculation: (Likes + Comments + Shares) / Impressions x 100 Update schedule: Automated task every night at 2:30 AM Sync frequency: Engagement data syncs from the social publishing integration every 4 hours
Questions? Email support@illixis.io or ask Maya (bottom-right chat icon).
The Social Hub consolidates all your social media scheduling, publishing, and analytics in one place. No more jumping between platforms to manage posts. Schedule to 13 social networks, track performance, and publish content directly from ILLIXIS.
Social Studio generates multiple content types from a single topic — social captions, video scripts, quote graphics, carousels, and social videos. Two modes: Freestyle any topic or From Article repurpose existing content.
Turn blog posts into 6-10 tweet threads with AI-generated images. Optimized for engagement, ready to copy and publish.
Carousels turn your article into 8-16 swipeable slides, optimized for Instagram or LinkedIn. Each slide has a headline, body text, and visual direction for AI-generated images. One article becomes a multi-slide post that stops scrollers and drives engagement.
LATE API integration enables social media publishing across 10+ platforms with a single connection. Connect Twitter, LinkedIn, Instagram, Facebook, TikTok, YouTube, and more without managing API keys or OAuth tokens individually.
One platform. You approve. ILLIXIS executes. Marketing that just happens.
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