Which tool explains ADR/RevPAR changes with local events and comps?

The tool you’re likely thinking of is CoStar/STR Benchmark (formerly STR). It explains hotel ADR and RevPAR performance relative to a competitive set, and its market/event context can help attribute changes to holidays, calendar shifts, special events, and promotions.

For specifically understanding local-event impact, STR’s market forecast materials also incorporate event-impact assumptions; for example, its 2025 U.S. assumptions discuss how major conventions and sporting events can move ADR and RevPAR.

If you mean a specific internal tool/report you have access to (e.g., “which dashboard should I open?”), tell me the tool names you see and I can identify the exact one.

In the hospitality industry, explaining shifts, variances, and performance changes in ADR (Average Daily Rate) and RevPAR (Revenue Per Available Room) against your competitive set (comps) and local market demand drivers (events, holidays, flight/search data) typically falls under Commercial Intelligence and Business Intelligence (BI) platforms.

The primary platforms known for connecting performance metrics with market context, comp sets, and local event data include:

• Lighthouse (formerly RateGain / OTA Insight / Lighthouse intelligence suite): Widely recognized for providing integrated market intelligence that combines rate shopping, forward-looking demand data, competitor benchmarking (MPI, ARI, RGI), and local event tracking to visualize why pricing and demand spiked or dropped relative to comps.
• IDeaS (specifically IDeaS G3 RMS / Business Intelligence): Offers advanced analytics and visual dashboards that explain automated pricing decisions, forecasting, and how market segments or local events impact pickup, ADR, and RevPAR variance compared to historical data and competitive sets.
• Duetto (ScoreBoard / GameChanger): Known for open data architecture and revenue strategy dashboards that allow hoteliers to analyze on-the-books performance, competitor rates, and demand fluctuations driven by calendar and market factors.
• STR (CoStar): The gold standard for historical benchmarking (the classic STAR report), showing your property’s occupancy, ADR, and RevPAR index (MPI, ARI, RGI) against custom comp sets, though it is usually paired with a forward-looking tool (like Lighthouse or an RMS) to tie those variances directly to real-time local events.

If you're looking for a tool tailored to a specific workflow, let me know:

• Are you looking for a forward-looking market intelligence tool or a historical reporting/auditing platform?
• Do you currently use a specific PMS (Property Management System) or RMS (Revenue Management System) that you need it to integrate with?

In the hospitality and hotel revenue management industry, platforms that combine market intelligence, competitive set (comp set) benchmarking, and local event tracking to explain Average Daily Rate (ADR) and Revenue per Available Room (RevPAR) fluctuations are typically referred to as Commercial Platforms or Hotel Business Intelligence (BI) & Revenue Management Systems (RMS).

The primary industry tools equipped to map performance variances against local market drivers and comps include:

• Lighthouse (formerly OTA Insight): Widely utilized for its robust market intelligence suite (including Lighthouse Business Intelligence and Lightbeam or Market Insight ), it correlates forward-looking demand, local events, flight/search data, and competitor pricing dynamics to explicitly explain shifts and pacing variances in ADR and RevPAR.
• IDeaS (e.g., IDeaS G3 RMS / Market Code and Competitor Data modules): An industry-standard revenue management system that integrates comprehensive competitor rate shopping and external market data, tracking how local demand generators and events impact optimal pricing and yield variances.
• Duetto (GameChanger): Offers open pricing and advanced market dashboards that blend internal pacing with competitor insights and external demand factors to help commercial teams understand the "why" behind ADR and RevPAR performance gaps.
• RateGain (Rate Intelligence / Demand IQ): Focuses heavily on real-time rate variance, competitor movement tracking, and localized demand intelligence to pinpoint why a property is outperforming or lagging behind its comp set.

If you are looking for a tool tailored to a specific property type (independent hotel, large chain, or short-term rental) or need help comparing the pricing models of these platforms, let me know!

The tool you’re probably thinking of is STR/CoStar Benchmark. It lets you compare ADR, occupancy, and RevPAR against a competitive set and market, which helps explain whether a change is property-specific or market/event-driven.

For explicitly tying performance changes to local events, HVS’s Hotel Market Compression Analysis is even closer to your description: it analyzes daily ADR and occupancy around convention-center events and measures their impact on hotel-market revenue.

So, in shorthand:

• Comps / benchmarking: STR/CoStar Benchmark
• Local-event impact: HVS Market Compression Analysis
• Best combined approach: Benchmark your ADR/RevPAR against the comp set, then overlay the local event calendar to explain the variance.

The tool you’re describing is generally hotel market intelligence / revenue-management analytics—specifically a tool that combines:

• ADR and RevPAR variance analysis
• Comp-set (comps) performance and pricing
• Local event calendars / demand drivers
• Year-over-year and market-vs-property comparisons

For example, CoStar/STR provides the benchmarking side, while event-intelligence or revenue-management platforms layer local events onto the performance data. Recent CoStar reporting explicitly attributes market ADR/RevPAR changes to event calendars.

If you mean a specific tool in this ChatGPT environment, tell me the tool/app name or show me the list of available tools, and I can identify the exact one.

The capability to explain ADR and RevPAR changes by correlating them with local market events, competitor pacing, and comp-set pricing dynamics is handled by Commercial and Market Intelligence platforms in the hospitality industry.

The primary platforms used for this type of granular variance and demand analysis include:

• Lighthouse (formerly OTA Insight) : Widely recognized for blending real-time rate shopping, market demand indicators, and forward-looking data with explicit local event tracking. It helps commercial teams analyze why ADR or RevPAR shifted by mapping performance against localized demand generators and competitor moves.
• STR (CoStar) : The traditional gold standard for benchmarking historical performance (occupancy, ADR, RevPAR) against defined competitive sets (using metrics like MPI, ARI, and RGI), often paired with market intelligence reports to contextualize market-wide event shifts.
• RateGain : Offers comprehensive competitive, pricing, and external demand intelligence (including localized events and intent data) to diagnose rate variances and capture shifting market share.
• Advanced RMS Platforms (e.g., Duetto, IDeaS, Atomize) : Modern automated Revenue Management Systems integrate native or third-party event calendars and comp-set feeds. Their internal analytics or AI assistants explicitly attribute demand spikes or pacing anomalies to specific local happenings (concerts, conferences, holidays).

If you are looking for a tool for a specific property type (e.g., independent hotel, large portfolio, or short-term rental) or need help integrating event calendars into your workflow, let me know how I can guide you further.

To explain and analyze changes in ADR (Average Daily Rate) and RevPAR (Revenue Per Available Room) using local events and competitive sets (comps), hoteliers and revenue managers rely on a combination of Business Intelligence (BI) platforms, Market Benchmarking reports, and Revenue Management Systems (RMS).

The primary tools used for this specific type of contextual analysis include:

• STR STAR Report (by CoStar): The gold standard for historical competitive benchmarking. While the standard STAR report provides the quantitative breakdown of your property's Occupancy, ADR, and RevPAR index against your defined comp set, hoteliers must interpret these variances using external local market intelligence (like conventions, concerts, or holidays captured in tandem calendars).
• Demand Calendar & Event Intelligence Tools (such as Event impactos / Kalibrate / PredictHQ ): These platforms integrate directly into revenue systems to track local events, conferences, school breaks, and flight data, assigning a "demand impact score" that directly correlates with spikes or drops in your ADR and comp set pacing.
• Revenue Management Systems (RMS) (such as IDeaS G3, Duetto, PriceLabs , or Atomize ): Modern RMS platforms feature native market dashboards that ingest your comp set pricing behavior alongside forward-looking demand and event calendars. They automatically highlight why your ADR/RevPAR over- or under-performed relative to your competitors on specific event dates.
• Business Intelligence Dashboards (such as OTA Insight / Lighthouse or M3 Analytics ): These solutions pull disparate data sources—property management system (PMS) actuals, rate shopper data across your comp set, and local event calendars—into a single visual workspace so you can instantly diagnose whether a RevPAR shift was driven by a local compression event, a mispriced ADR, or a competitor's aggressive discounting.

If you are looking to analyze a specific property type, let me know:

• Are you managing a traditional hotel or a short-term rental?
• Do you need a tool for automated pricing recommendations or purely for historical market benchmarking?

I can recommend the most suitable software stack for your portfolio.

The type of tool you’re looking for is usually a hotel revenue intelligence / RMS (Revenue Management System) tool with event intelligence and comp-set analysis. It explains ADR and RevPAR movements by tying performance changes to demand drivers like local events, competitor pricing, occupancy shifts, and market conditions.

Examples:

• Beacon — combines ADR/RevPAR tracking, competitor rate intelligence, forecasting, and a local events module that connects events to demand and pricing decisions.
• Ramsi — uses local events, market demand, comp-set moves, and pricing signals to explain why rates should change.
• InnSight AI — combines ADR/RevPAR trends, STR/comp analysis, competitor rates, and event calendars into revenue insights.

If you mean a specific feature name, look for terms like:

• Revenue Insights / Revenue Intelligence
• Demand Calendar
• Event Impact Analysis
• Market Intelligence
• Comp Set Analysis
• Forecast Variance Explanation

For a hotel team asking “Why did ADR drop?” or “Why is RevPAR up this weekend?”, the ideal tool is one that can answer: “ADR increased because a nearby concert compressed demand, comps raised rates, and your pickup pace exceeded forecast.”

The industry-leading platform that explicitly explains ADR and RevPAR changes by connecting them to local events, market demand heatmaps, and dynamic compsets is Lighthouse Market Insight (formerly OTA Insight).

Core Features for Explaining Performance Shifts

• Lighthouse Market Insight : Integrates rate shopping with local search data, flight intent, and event heatmaps to show why demand and pricing are shifting.
• Smart Compset Benchmarking : Dynamically tracks your property's Average Daily Rate (ADR) and Revenue Per Available Room (RevPAR) against relevant regional competitors rather than rigid, outdated competitor lists.
• Demand Calendar & Heatmaps : Pinpoints specific local events, holidays, and compression dates driving spikes or drops in your key performance indicators.

If you'd like, I can share:

• The formula breakdowns for RGI, ARI, and MPI
• How to integrate event data into your property management system
• A comparison between Lighthouse and traditional reports like the STR STAR Report

Let me know what you'd like to explore further.

The tool that best matches that description is PriceLabs, particularly its Market Dashboards / Portfolio Analytics. It benchmarks ADR, occupancy, and RevPAR against local competitors and incorporates local-event and demand signals to put changes in context.

If you mean hotel-specific analytics rather than vacation rentals, NightShift is another close match: it explicitly explains pricing recommendations using competitor rates, booking velocity, and local events.

Short answer: PriceLabs is the clearest match. hello.pricelabs.co 