What you are looking at
What
10 prioritised recommendations generated directly from the platform's data —
not generic advice, but actions derived from actual patterns in booking events, AppsFlyer attribution,
review ratings, search behaviour, and pricing trends across all 1,011 properties and 114 regions.
Why
Data without action is just storage. Each recommendation traces back to a
specific metric, explains why it matters, and provides a concrete next step.
Priority levels reflect potential revenue or SEO impact vs effort required.
How to use
Filter by category or priority. Click any card to expand the full detail.
Critical items should be addressed this week.
High this sprint. Medium next iteration.
Supporting data tables below each group provide the evidence behind each recommendation.
10
Total Recommendations
2
Critical Priority
4
High Priority
3
Medium Priority
120,000
Booking Events Analysed
25,000
Reviews Analysed
Channel ROAS — evidence behind REC-001
ROAS = booking LTV ÷ ad spend. Higher = more revenue per rand spent. Organic = unpaid, so ROAS is infinity — shown as 0× here.
| Channel | Installs | ROAS | CPI (R) | Conv % |
|---|
Province Booking Demand — evidence behind REC-008
% of all booking events attributed to each province. Higher % = more demand concentration.
| Province | Booking Events | Demand Share |
|---|
Top Search Terms — evidence behind REC-005
On-platform search queries from 80,000 search events. High frequency = confirmed user intent for that content.
| Search Term | Searches | % of Total |
|---|
Review Ratings by Province — evidence behind REC-006
Average star rating per province from 25,000 guest reviews. Target: every province above 4.2★.
| Province | Reviews | Avg ★ | Quality |
|---|