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)

🎯 Business KPIs

CLTV · CAC · CSAT · NPS — the four numbers that tell you if the business is healthy.

CLTV (avg)
CAC (blended)
CSAT
NPS
💰
CLTV data not yet populated
The next scheduled run will pull the full WooCommerce order history.

💰 CLTV — Customer Lifetime Value

Formula: Total revenue ÷ Total customers · paid orders analyzed · →

Total customers
Median 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.

📊 CAC — Customer Acquisition Cost

Formula: Marketing spend ÷ New customers acquired

🛠️
Not configured yet
CAC needs a monthly marketing-spend figure to divide by new customers acquired. Two ways to wire this up:
  1. Fast: Add MARKETING_SPEND_MONTHLY_KES=<amount> to .env. We compute a blended CAC using WooCommerce customer-acquisition dates.
  2. Better: Connect Meta Ads & Google Ads via Composio for real spend data by channel, week-over-week.

😊 CSAT — Customer Satisfaction

Formula: % respondents rating "satisfied" or higher (5/5, 4-5/5, or 8+/10 depending on scale)

🛠️
Not configured yet
CSAT needs a survey source. Options that would work today:
  1. WooCommerce product reviews — use star ratings as CSAT proxy (4-5★ = satisfied). Free, uses data you already have.
  2. Google Business Profile reviews — you had 4.4★ / 42 reviews last check. Same proxy.
  3. Zoho Desk — if you're using it for support, ticket CSAT ratings are queryable via Composio.
  4. Zoho Survey — post-purchase CSAT survey. Needs setup.

📣 NPS — Net Promoter Score

Formula: % Promoters (9-10) − % Detractors (0-6) · Range: −100 to +100 · Above 50 = excellent

🛠️
Not configured yet
NPS is only meaningful if you're actively running the survey. Path to add:
  1. Start an NPS survey program. Zoho Survey has an NPS template. Send monthly or quarterly to recent buyers.
  2. Wire the results in — either via Composio's Zoho Survey integration, or add manual quarterly entry via a JSON file.
  3. Alternative: repurpose your existing Google reviews or WooCommerce reviews as a "rough NPS proxy" — imperfect but zero cost.
🔄 Refresh dashboard data

Pull the latest numbers

Currently viewing data from
Automatic refresh schedule
Every Monday at 10:00 AM EAT
Full previous-week summary
Trigger a manual refresh right now

Run this command on the machine hosting the pipeline. It pulls fresh data from Facebook, Instagram, TikTok, Google Analytics, and WooCommerce, then republishes this dashboard. Takes ~10-15 minutes.

python3 report.py
Want one-click remote refresh? We can wire up a Cloudflare Worker + webhook so this button really does trigger a refresh from any browser. Requires a small always-on listener on the Mac. Ask if you want it built.