Best Short-Term Rental Analytics Tools in 2026

STR analytics tools in 2026 span four distinct categories. Most operators use three of them and skip the one that actually shows whether they are making money.

Most STR operators are data-rich and insight-poor. They have AirDNA telling them what a market should earn, PriceLabs optimizing their nightly rates, and a PMS tracking their bookings. What they do not have is a clear answer to the question that determines whether the business survives: is this property actually profitable after every expense?

The STR analytics tool landscape in 2026 breaks into four distinct categories. Understanding what each category does and does not do is the difference between running on gut feel and running on real numbers.

Category 1: Market Research Tools

These tools answer the pre-purchase question: what does this market look like, and what might a property earn here? They are research tools, not operational tools.

AirDNA

AirDNA is the market standard for STR market research. Pricing runs $40/month for basic market reports up to $200+/month for deeper data packages. The platform scrapes Airbnb and VRBO listing data to estimate occupancy rates, average daily rates, and revenue potential by market and property type.

What AirDNA does well: market-level demand forecasting, supply trend tracking, competitive set analysis, and the Rentalizer tool for property-level projections. It is the right starting point when evaluating a new market or a specific acquisition.

What AirDNA misses: all data is estimated and modeled from public scraping, not from actual payout data. Occupancy estimates can run 10-20% above actual reported performance. More importantly, AirDNA shows no expense data, no net profit, and no way to distinguish top-performing operators from average ones in a market.

Mashvisor

Mashvisor (~$99/month) focuses on investment property analysis, combining STR revenue estimates with traditional rental income comparisons and cap rate calculations. Useful for investors comparing STR vs long-term rental scenarios on a specific property.

Rabbu and AllTheRooms

Rabbu offers free market-level data for many US markets, making it a useful starting point before committing to a paid research subscription. AllTheRooms provides market analytics with a focus on competitive intelligence. Both are supplementary tools rather than primary research platforms.

Who Should Use Category 1 Tools

Anyone evaluating a new market or a specific property acquisition. The limitation is that these tools tell you what comparable listings appear to earn in gross revenue. They tell you nothing about what those properties actually net after expenses. Use them for directional market research, then build a real financial model on top.

Category 2: Dynamic Pricing Tools

These tools answer the operational question: what should I charge tonight, this weekend, or during an event week to maximize revenue?

PriceLabs

PriceLabs at $19.99/property/month (with volume discounts at 10+ properties) offers the most granular control in the market. Over 100 integrations, event detection, orphan day logic, and highly customizable algorithms. The tradeoff is learning curve: getting full value from PriceLabs requires real setup time.

Wheelhouse

Wheelhouse charges 1% of revenue (minimum $2.99/property/month) or a flat $19.99 Pro tier. The Conservative/Recommended/Aggressive slider model makes it more accessible than PriceLabs for operators who want smart automation without deep configuration. About 50 integrations.

Beyond

Beyond (formerly Beyond Pricing) operates on a 1% revenue model and was the original dynamic pricing tool for STR. It competes with PriceLabs and Wheelhouse on market data quality and comp set features.

The Critical Limitation of Category 2

All three pricing tools optimize for gross revenue. None of them tell you whether the revenue they generated actually translated into profit. An operator can have excellent PriceLabs configuration driving strong ADR and still be losing money because cleaning costs, utilities, or platform fees have changed. Revenue optimization without profit tracking is an incomplete picture.

Category 3: PMS Analytics

Every major PMS (Hospitable, Guesty, Hostfully) includes some reporting functionality. This is the category most operators rely on as their primary analytics source, which creates a significant blind spot.

PMS reporting typically includes: total booking revenue by property, occupancy rate, average daily rate, channel performance breakdown, and booking pace. Guesty and Hostfully offer more depth than Hospitable on reporting, but the fundamental limitation is the same across all three.

PMS tools know what the booking channels paid out. They do not know what you paid for mortgage, utilities, supplies, insurance, software subscriptions, or anything else. Gross revenue is not profit. The gap between what your PMS reports and what you actually keep is the most important number in your business, and no PMS calculates it.

Your PMS shows what came in from Airbnb. Your profit depends on what went out to everyone else. No PMS connects those two numbers.

Category 4: Portfolio Profit Analytics

This is the category most STR operators do not have in their stack, and it is the one that determines whether the business is actually working.

Portfolio profit analytics tools connect PMS revenue data with actual expense data to produce true net profit per property. The key technical requirement: these tools need to pull from both your PMS (for revenue) and your bank accounts (for actual cash flow) to produce accurate numbers.

MagicBnB sits in this category. It connects to Hospitable and Hostfully via OAuth and to bank accounts via Plaid, then reconciles PMS payout data with actual bank transactions to produce true operator profit per property in real time. The Portfolio Overview Dashboard shows net payout, true operator profit, margin percentage, and projected revenue across the full portfolio. The Profitability Rankings surface which properties have the lowest margin, highest profit, and biggest year-over-year changes, which is the kind of insight that drives real portfolio decisions.

This is where MagicBnB sits in the analytics stack. Not as a replacement for any Category 1, 2, or 3 tool, but as the layer that answers the question those tools cannot: after everything, what did this property actually make?

The Stack Most Operators Are Missing

A complete STR analytics stack in 2026 looks like this:

• Category 1 (Market Research): AirDNA for pre-purchase analysis
• Category 2 (Dynamic Pricing): PriceLabs or Wheelhouse for revenue optimization
• Category 3 (PMS): Hospitable, Hostfully, or Guesty for operations
• Category 4 (Portfolio Profit): MagicBnB for true net profit tracking

Most operators have the first three. Almost none have the fourth. The result is a business that optimizes gross revenue without ever knowing whether it is profitable at the property level.

Recommended Stacks by Operator Profile

New Operator, 1-3 Properties

• Market research: AirDNA (basic tier) or Rabbu for free data
• Pricing: Wheelhouse (easier learning curve at this stage)

• PMS: Hospitable (affordable, strong automation)
• Profit tracking: MagicBnB (know from day one whether your numbers work)

Growing Operator, 5-15 Properties

• Market research: AirDNA (mid-tier)
• Pricing: PriceLabs (worth the learning curve at this scale)
• PMS: Hospitable or Hostfully depending on whether you manage for owners
• Profit tracking: MagicBnB Portfolio Overview and Profitability Rankings

Property Manager, 15+ Properties

• Market research: AirDNA (enterprise) plus competitor-specific tools
• Pricing: PriceLabs with custom configurations per property type
• PMS: Guesty for channel management and owner portals
• Profit tracking: MagicBnB with Owner Statements and Monthly Portfolio Report Builder

What to Look For in Each Category

Market Research Tools

• Data accuracy and methodology transparency (is it scraped or actual payout data?)
• Geographic coverage for your target markets
• Seasonality and demand forecasting quality
• Comp set customization

Dynamic Pricing Tools

• Integration with your PMS
• Event detection quality in your markets
• Minimum stay automation
• Pricing model (flat vs percentage at your revenue level)

PMS Platforms

• Channel coverage for where you list
• Automation quality for guest communication
• Cleaning team coordination
• Owner portal if you manage for others

Portfolio Profit Analytics

• Bank account connectivity for actual expense data
• PMS integration for revenue data
• Property-level profit breakdown
• Trend analysis: YoY, QoQ, MoM comparisons

Frequently Asked Questions

What is the best STR analytics tool for small landlords?

For small operators (1-5 properties), AirDNA covers market research, Wheelhouse covers pricing, and Hospitable covers operations. The missing piece for most small operators is profit tracking at the property level, which is where MagicBnB adds the most value.

Does AirDNA show actual rental income data?

No. AirDNA data is estimated from public scraping of Airbnb and VRBO listings. It models occupancy and revenue based on listing availability and pricing signals, not from actual payout data. Treat AirDNA numbers as directional market estimates, not financial projections.

Can PriceLabs replace a full analytics platform?

PriceLabs is a revenue optimization tool. It is excellent at what it does: setting the right nightly rate. It does not track expenses, calculate net profit, or provide portfolio-level financial reporting. You need a separate analytics tool for the profit side.

How do STR analytics tools connect to each other?

Most STR tools connect through APIs and OAuth integrations. PMS platforms serve as the central hub, connecting to pricing tools and channel managers. Profit analytics tools like MagicBnB connect to both the PMS (for revenue data) and bank accounts (for expense data) to provide the full financial picture.

About MagicBnB

MagicBnB is the portfolio profit analytics platform for STR operators. It connects to Hospitable and Hostfully via OAuth, links bank accounts via Plaid, and produces true net profit per property in real time. The Portfolio Overview Dashboard, Profitability Rankings, and P&L Statement give operators the financial intelligence their PMS and pricing tools cannot provide. Visit magicbnb.io to add the missing layer to your analytics stack.