PriceLabs Wheelhouse Beyond ROI A/B Test Spreadsheet — Airbnb Dynamic Pricing Tool Decision — Excel

Did PriceLabs / Wheelhouse / Beyond actually earn their monthly fee? A/B test framework for paid pricing tools. Run the tool 60 days, run without it 60 days, workbook computes the actual revenue lift vs. monthly fee. Excel + Google Sheets.

PriceLabs costs $20/mo per listing. Wheelhouse $15-25. Beyond similar.
On 4 listings that's $80-100/month or $1,000+/year. The tools all
claim "average customer sees 15-30% revenue lift." That's marketing
math from the people selling the tool — not your specific market.

This workbook is the A/B test that answers honestly. 60 days with
the tool active. 60 days without. Subtract tool fees. Statistical
confidence flag for sample size. Verdict: "tool earned $X above its
fee" OR "tool cost more than it earned."

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WHAT'S INCLUDED
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📋 Property Roster + tool settings (which tool, monthly fee, integration date)
📋 Test Plan Generator (60 days each side, season-aligned)
📋 Period 1 (Tool Active) — weekly metrics: ADR, occupancy, RevPAR
📋 Period 2 (Tool Inactive) — same metrics
📋 A/B Comparison Tab
· Period 1 vs 2 ADR / Occupancy / RevPAR delta
· Net revenue delta
· Subtract tool fees
· Statistical confidence flag (small sample warning)
📋 Verdict — keep / cancel / extend test

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WHEN THE TOOL WINS
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· High-volatility markets (NYC, LA, beach towns with weather demand)
· Multi-property portfolios where manual pricing isn't tractable
· Markets with frequent large events the tool catches you'd miss

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WHEN THE TOOL LOSES
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· Stable seasonal markets (mountain cabins with predictable peak/off-peak)
· ≤2 properties (manual pricing via REV-002 + REV-003 wins)
· Markets where you're already disciplined about REV-003 weekly comp tracking

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WHO THIS IS FOR
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· Hosts currently paying for a pricing tool (validating the spend)
· Hosts considering one (de-risk the trial)
· Multi-property operators evaluating per-property tool ROI separately

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SAMPLE-SIZE CAVEATS
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A 60-day test on a single property has noisy data. The workbook flags
low-confidence results. For a definitive answer: run multiple properties
or run year-on-year comparisons (same season this year vs last year).

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FILE COMPATIBILITY
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✅ Excel 2016+ · ✅ Excel 365 · ✅ Google Sheets

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REFUNDS
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14-day refund, no questions. hello [!at] thestrledger.com.

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⚠ Digital product. Not affiliated with PriceLabs, Wheelhouse, or Beyond — those are third-party trademarks of their respective owners.