PriceBnb Weekly Report Guide — How to Use All 11 Sections

1. KPI Dashboard

The first screen shows your 4 most important metrics at a glance: Occupancy Rate (week-over-week change), Competitive Rank (your position among 5 competitors), Revenue Change (estimated monthly revenue delta), and Service ROI (revenue increase vs. service cost). These 4 numbers let you assess the entire situation in 30 seconds. A declining occupancy rate signals an immediate need for price adjustment, while an improving competitive rank means your current strategy is working. By comparing these metrics weekly, you can identify long-term trends and patterns that would be invisible from a single week's data.

2. AI Price Coaching

Our AI analysis model synthesizes all report data to deliver personalized strategic advice in natural language. Instead of “your weekday price is above average,” you get actionable guidance like “Raise your weekend price by $10 to capture an additional $90/month without impacting occupancy.” The AI coaching incorporates insights from experienced Superhost operations and focuses on the 1-2 highest-impact actions for your specific situation. Each week brings fresh, context-aware advice tailored to current market conditions. A confidence indicator (high/medium/low) helps you gauge how strongly to act on each recommendation.

3. Previous Suggestion Results

Our data collection engine automatically detects whether you applied last week's pricing suggestions. It compares your current live Airbnb prices against previous recommendations and shows results like “Weekday price suggestion applied (+$4)” or “Weekend price not applied.” It also tracks how your occupancy changed after applying suggestions (e.g., +6 percentage points). The core value here is the feedback loop. By repeatedly applying suggestions and reviewing results, you gradually discover the optimal pricing for your specific listing. This section appears starting from your second report, and higher application rates lead to increasingly accurate future suggestions.

4. Price Comparison Chart

A side-by-side comparison of your listing and 5 competitors on a guest total cost basis. Stacked bar charts break down base price, extra guest fees, and cleaning fees for weekday/Friday/weekend tiers, with a dotted line showing the competitive average. Since this uses the actual amount guests pay, it provides the fairest comparison possible. You can instantly see that “my weekday price is $8 above the competitive average.” Week-over-week price changes for each competitor are shown with arrows, so if Competitor C raised their weekend price by $10, you know there's room to adjust yours too.

5. Detailed Cost Breakdown

A transparent decomposition of each listing's pricing structure. Base nightly rate, extra guest fees, cleaning fees, and ancillary charges (management fees, community fees, linen fees, resort fees) are shown in a clear table. This reveals insights like “Competitor B has a low base price but charges $25 in cleaning fees.” Since guests care about total cost, comparing base prices alone can lead to wrong conclusions. By comparing the “structure” of pricing, you can identify exactly which component to adjust for maximum competitiveness. For instance, eliminating your cleaning fee and incorporating it into the base price can make your listing appear cheaper in search results.

6. Occupancy Analysis

Horizontal bar charts comparing tier-specific occupancy rates for your listing and 5 competitors. Based on the next 30 days: weekdays (17 days), Fridays (4 days), and weekends/holidays (9 days). Your listing is highlighted in coral for easy identification. Week-over-week changes are also displayed. “My weekend occupancy of 85% is above the 72% competitor average, so I can raise weekend prices” or “My weekday occupancy of 35% is below the 48% average, suggesting a weekday price reduction” — these concrete insights become immediately apparent. Occupancy is the critical input for pricing strategy. Pricing based solely on competitor rates can fail, but combining it with occupancy data lets you find the optimal balance.

7. 2-Week Competitor Price Trends

Our real-time data pipeline tracks competitor prices for the next 2 weeks (this week + next week). This enables proactive insights like “Competitor C raised their next-next-week weekend price by $10.” Looking at just this week's data may already be too late. With 2-week visibility, you can predict competitor strategies and react preemptively. If competitors are raising prices for two weeks out, it may signal an upcoming peak period. If they're lowering prices, they might be struggling with occupancy. This information lets you adjust your own future prices proactively, staying one step ahead of the market instead of always reacting.

8. Price Suggestions

Based on comprehensive analysis of pricing, occupancy, and competitive trends, specific prices are suggested on a host-set price basis. “Set your weekday base price to $75 (currently $70)” — amounts you can directly enter in Airbnb. The key feature is independent per-tier strategy. Weekdays might get an aggressive strategy (lower price for occupancy), Fridays balanced, and weekends premium (higher price for revenue). Each tier is optimized independently. Three alternatives (aggressive/balanced/premium) are always provided alongside the recommendation, so you can choose the approach that matches your risk tolerance. Host net earnings (after 15.5% fee) are shown alongside each suggestion.

9. Revenue Simulation (3 Strategies)

A side-by-side comparison of projected monthly revenue under your current pricing vs. each suggested strategy. All three approaches (aggressive/balanced/premium) are calculated using 3-tier separated math: weekday revenue + Friday revenue + weekend revenue = total. “Current: $1,650/month → Recommended strategy: $2,000/month (+$350)” with clear numbers. Unlike averaged calculations that hide important details, tier-separated simulation provides much higher accuracy. You can compare which strategy best fits your listing's characteristics and weigh risk vs. return with real numbers.

10. Action Checklist

Concrete action items distilled from the entire report analysis. “Change weekday price to $75,” “Keep Friday price at $90 (current price is optimal),” “Change weekend price to $120” — immediately actionable items. The next report delivery date is also shown, creating anticipation for seeing the impact of this week's changes. Just follow the checklist and you're done. Even hosts who aren't comfortable with data analysis can execute expert-level pricing strategies.

11. Service ROI

Every week, we calculate your return on investment by comparing the service cost ($7.99/month) against estimated revenue increase. “This week's suggestions could add +$130/month → ROI 9x” gives you a clear financial picture of the service's value. As you apply suggestions and real occupancy data accumulates, the ROI calculation becomes increasingly accurate. We include this section because we believe hosts should always be able to judge for themselves whether the service is worth continuing. Our business only succeeds when your revenue actually grows.