Dashboard ·

Social Analytics
Dashboard

💡
Headline
FILTER:
🎯 Top Insight
⚠️ Top Risk
🚀 Opportunity

Engagement Trend

Combined Reach (7d)
Combined Engagement (7d)
Combined Followers

Per-Platform Deep Dive

🏆 Top Performing Posts

📉 What Didn't Work — and Why

Click any card to expand the diagnosis
✅

Next 7 Days

🔧

How to Improve

🔥
🔥

What Might Go Viral

⚠️ Publishing QA Flags

🚨 Anomalies detected

Automated checks flagged the following since the previous run.

✨
No anomalies detected
All metrics within expected range vs previous run.

🗓️ Best time to post

Average engagement rate by day of week and hour block, last 30 days. Darker = better.

Timing heatmap will populate after the next scheduled run pulls per-post publish timestamps.

👥 Audience demographics

Who's actually following you. Pulled from platform-native insights.

Demographics will populate after the next scheduled run pulls audience insights from Meta.

📈 90-day trend

Longer-window view to spot seasonality and true growth vs one-off spikes.

90-day series will populate after the next scheduled run pulls the longer window.

📅 Compare periods

Compare any two date ranges within the last 90 days. Pick a preset or set custom dates.

PRESETS:
Period A
Period B

Trend overlay

Each period shown day-by-day, aligned to day-of-window (Day 1, Day 2…) so different-length periods can be compared visually.

Comparison requires the 90-day history dataset. Waiting on the next scheduled run.
🌐
Website analytics not yet populated
The next scheduled run (Mon/Thu 10 AM) will pull GA4 data — sessions, traffic sources, top pages, and social attribution.

🌐 Website analytics

visionplus.co.ke · Google Analytics 4

Sessions (7d)
Users (7d)
Engagement rate (7d)
Conversions (7d)
Key events

Daily sessions — last 30 days

Traffic sources (30d)

📣 Sessions from your social platforms (30d)

Which social platform actually drove people to the site. Requires outbound links to be UTM-tagged for accurate attribution.

Platform Sessions Users Engagement rate
No social-source sessions detected. Ensure outbound links use UTM tags (utm_source=facebook, etc.)

🏆 Top landing pages (30d)

🌍 Top countries (30d)

💰
Customer analytics not yet populated
The next scheduled run will pull the full WooCommerce order history and compute CLTV metrics.

💰 Customer analytics · CLTV

paid orders analyzed · →

Total customers
paying customers, all-time
Avg CLTV
Avg order value
Repeat rate

CLTV distribution

How customer lifetime value is spread across the base

Recency segments

Days since each customer's last order — where retention is winning or losing

🏆 Top 10 customers by CLTV

Names anonymized for privacy — first name + last initial only. Email replaced with 6-char stable hash.

# Customer Orders Total spent First order Last order

📅 Cohort — avg LTV by acquisition month

Each dot represents a monthly cohort. Higher = customers acquired that month had higher lifetime value.