# AirROI vs Flame Analytics

AirROI records 96,339 monthly visits with -7.3% month-over-month growth and Freemium pricing. Flame Analytics records 22,598 monthly visits with -5.6% growth and Contact for Pricing pricing.

| Metric | [AirROI](https://openaitools.app/tool/airroi) | [Flame Analytics](https://openaitools.app/tool/flameanalytics-com) |
| :--- | :--- | :--- |
| Website URL | https://www.airroi.com | https://flameanalytics.com |
| Categories | AI For Data Analytics, AI Real Estate, AI Predictions, AI Marketing | AI For Data Analytics, AI Marketing, AI Data Mining, AI Lead Generation |
| Pricing Model | Freemium | Contact for Pricing |
| Monthly Visits | 96,339 | 22,598 |
| MoM Growth Rate | -7.3% | -5.6% |
| Primary Market | United States | Spain |
| Direct Visits | 38,233 | 5,946 |
| Review Score | 4.1 | 4 |
| Saved Count | 1 | 0 |
| Supported Platforms | Website | Website |

## AirROI

AirROI positions itself as a free alternative to paid short-term rental data providers such as AirDNA, Mashvisor and PriceLabs. Its Market Atlas lets you explore any Airbnb market on an interactive map — searching by city, viewport selection or a custom lassoed polygon — to inspect occupancy, average daily rate (ADR), revenue and supply. Analytical dashboards go back more than 15 years per market, so you can compare year-over-year performance, spot seasonality and see where supply is saturating before competitors do.

For individual hosts, the Airbnb Calculator turns a single address into a projected annual revenue, occupancy rate and ADR figure. Its models compare roughly 50–100 comparable listings and factor in seasonality, local events and amenity premiums. AI dynamic pricing then recommends nightly rates for every date on your calendar using demand, competitor pricing, booking pace and event calendars — a feature AirROI highlights as free, unlike the per-listing add-on fees common elsewhere.

Bigger teams can buy pre-built Regional Reports for 30,000+ markets, download listing-level raw data from the Data Portal, or integrate STR market intelligence through RESTful API endpoints starting at roughly a cent per call with no contracts or monthly minimums. An MCP server is available for AI agents and coding assistants, and the company targets investors, property managers, lenders, hedge funds, app developers, tourism boards and academic researchers.

**Pricing & Plans:** Freemium model. Market Atlas, Analytical Insights, the Airbnb Calculator and AI dynamic pricing are free. The Data Portal and enterprise REST API use pay-as-you-go pricing from about $0.01 per call with no contracts or monthly minimums; custom arrangements are available on request.

- **Market Atlas interactive map:** Search 100,000+ short-term rental markets in 190+ countries by location, map viewport or lassoed polygon, and drill from metro level down to street blocks.
- **Free Airbnb revenue calculator:** Enter an address to get projected annual revenue, occupancy and ADR based on machine-learning analysis of 50–100 comparable listings, including seasonality and amenity premiums.
- **AI dynamic pricing:** Nightly rate recommendations generated from live demand, competitor pricing, booking pace, seasonality and local events — offered at no cost on the platform.
- **Analytical insights on 15+ years of data:** Charts for occupancy trends, ADR fluctuations, revenue seasonality, booking lead times, length-of-stay patterns and supply growth, with year-over-year comparisons.
- **Data Portal and REST API:** Download listing-level raw data or integrate market analytics, calculator and pricing endpoints into your own product via pay-as-you-go API calls, plus an MCP server for AI agents.

**Strengths:** Core analytics, revenue calculator and dynamic pricing are free, which is unusual for this data category; Very broad coverage: 20M+ listings across 190+ countries with 15+ years of history; Pay-as-you-go API from roughly $0.01 per call avoids contracts and monthly minimums; MCP server and REST API make it straightforward to wire into agents and internal tools

**Limitations:** Advanced data access, exports and API usage are metered, so heavy research use adds up; Estimates are modelled from listing data rather than actual booking records, so they carry forecast error; The interface is dense and analytics-oriented, which can be overwhelming for a first-time host

[Profile (Markdown)](https://openaitools.app/tool/airroi.md)

## Flame Analytics

Flame Analytics targets anyone who runs a physical venue and needs to know what actually happens inside it. Retailers, shopping centres, supermarkets, hotels, banks, transport hubs and public venues connect their existing camera estate to the platform, and Flame's proprietary AI models turn that footage into real-time metrics. The core product is organised around three pillars: Traffic, which measures inside and outside footfall, monitors occupancy live and computes genuine conversion; Customer Journey, which tracks routes, dwell times and zone interactions to expose in-store behaviour; and Connect, which uses guest WiFi captive portals to capture, segment and market to visitors based on location, profile and behaviour.

Privacy is the defining design constraint rather than an afterthought. Flame's video technology is explicitly built without biometrics, so it does not identify individuals or store facial data, and the platform is positioned as GDPR-compliant by design. The company also emphasises hardware efficiency and reuse of existing cameras, which keeps deployment cost and effort down compared with rip-and-replace sensor rollouts. The reporting layer is aimed at non-technical operators as much as analysts: drag-and-drop dashboards, pre-built templates, dynamic reports, automated scheduling and more than 200 KPIs tailored to different venue types and use cases.

By design the platform is integration-friendly. It connects with leading CCTV and people-counting systems and plugs into cloud platforms, data lakes and enterprise analytics environments, so measurement can flow into the wider data ecosystem instead of living in isolation. Typical use cases span people counting, conversion analytics cross-checked with POS, heatmaps and dwell analysis, occupancy management with capacity alerts, queue and checkout-abandonment analytics, restroom cleaning schedules based on real usage, DOOH audience measurement for retail media sales, and guest or corporate WiFi access. The company is headquartered in Spain, publishes case studies and a partner programme, and sells mainly through a personalised demonstration with the customer's own data.

**Pricing & Plans:** Flame Analytics does not publish public list pricing. The site routes buyers to a "Request a demo" flow and a personalised 20-minute session using the customer's own data and use case, so pricing is contact-for-pricing and typically depends on venue count, modules selected and camera infrastructure.

- **Traffic and conversion measurement:** Measure indoor and outdoor footfall, monitor occupancy in real time and calculate true conversion by cross-checking visitor data against POS transactions.
- **Customer journey and behaviour analysis:** Follow routes through the space, analyse dwell time and zone interactions, and read heatmaps and visit patterns to optimise each touchpoint.
- **Connect with guest WiFi:** Turn guest WiFi into capture, segmentation and marketing activation, launching personalised campaigns based on location, profile and behaviour.
- **Privacy-first, non-biometric AI:** Video analytics built without biometrics and positioned as GDPR-compliant by design, reusing existing CCTV hardware rather than requiring new sensor deployments.
- **200+ KPIs and automated reporting:** Drag-and-drop dashboards, pre-built templates, dynamic reports, scheduled delivery and more than 200 KPIs tailored to retail, malls, hospitality and transit.

**Strengths:** Works on existing CCTV and people-counting hardware, limiting new capex and installation effort; Non-biometric approach makes privacy and GDPR review notably easier for legal teams; More than 200 KPIs with drag-and-drop dashboards aimed at non-technical venue managers; Integrations with cloud platforms, data lakes and enterprise analytics avoid a data silo

**Limitations:** No transparent public pricing; budgeting requires a sales conversation and a tailored quote; Accuracy of insights depends on camera placement and quality of the existing estate; Full value typically requires multiple sites and POS or WiFi integration to be in place

[Profile (Markdown)](https://openaitools.app/tool/flameanalytics-com.md)

## Frequently Asked Questions

### How do AirROI and Flame Analytics compare in monthly traffic?

AirROI has 96,339 monthly visits, while Flame Analytics has 22,598. Traffic estimates describe audience size, not product quality.

### How do their growth rates compare?

AirROI has a month-over-month growth rate of -7.3%; Flame Analytics has -5.6%.

### How does pricing compare?

AirROI: Freemium. Freemium model. Market Atlas, Analytical Insights, the Airbnb Calculator and AI dynamic pricing are free. The Data Portal and enterprise REST API use pay-as-you-go pricing from about $0.01 per call with no contracts or monthly minimums; custom arrangements are available on request. Flame Analytics: Contact for Pricing. Flame Analytics does not publish public list pricing. The site routes buyers to a "Request a demo" flow and a personalised 20-minute session using the customer's own data and use case, so pricing is contact-for-pricing and typically depends on venue count, modules selected and camera infrastructure.

## Alternatives

| # | Tool Name | Monthly Visits | MoM Growth Rate | Pricing Model | Summary | Profile (Markdown) |
| :--- | :--- | :--- | :--- | :--- | :--- | :--- |
| 1 | [IndexBox](https://openaitools.app/tool/indexbox-io) | 330,438 | +14.5% | Free Trial, Paid | AI-driven market intelligence and trade data for 10,000+ products | [.md](https://openaitools.app/tool/indexbox-io.md) |
| 2 | [Simple Analytics](https://openaitools.app/tool/simpleanalytics-com) | 106,690 | -9.3% | Freemium, Paid | Cookie-free web analytics you can run without consent banners or personal data | [.md](https://openaitools.app/tool/simpleanalytics-com.md) |
| 3 | [viral.app](https://openaitools.app/tool/viral-app) | 89,176 | +14.3% | Free Trial, Paid | The operating system for UGC marketing and short-form analytics | [.md](https://openaitools.app/tool/viral-app.md) |
| 4 | [Polar Analytics](https://openaitools.app/tool/polaranalytics-com) | 44,209 | -23.6% | Free Trial, Paid | The AI data platform that gives ecommerce teams and their agents one trusted source of truth | [.md](https://openaitools.app/tool/polaranalytics-com.md) |
| 5 | [Shortimize](https://openaitools.app/tool/shortimize) | 34,262 | -7.8% | Free Trial, Paid | Track and analyze short-form video performance across every major platform | [.md](https://openaitools.app/tool/shortimize.md) |
| 6 | [BooleanMaths](https://openaitools.app/tool/booleanmaths-pulse) | 30,692 | -9.5% | Free Trial, Contact for Pricing | Accurate attribution and a trusted data layer for D2C brands | [.md](https://openaitools.app/tool/booleanmaths-pulse.md) |
| 7 | [HostBuddy AI](https://openaitools.app/tool/hostbuddy-ai) | 30,393 | +6.2% | Free Trial, Paid | AI guest messaging and upsells for short-term rental hosts | [.md](https://openaitools.app/tool/hostbuddy-ai.md) |
| 8 | [By the Numbers](https://openaitools.app/tool/bythenumbersapp-com) | 11,605 | -43.6% | Free Trial, Paid | Shopify analytics that explain why your numbers moved | [.md](https://openaitools.app/tool/bythenumbersapp-com.md) |
| 9 | [Jurny](https://openaitools.app/tool/jurny) | 10,094 | -9.4% | Freemium, Contact for Pricing | AI-native property management OS for short-term rentals and boutique hotels | [.md](https://openaitools.app/tool/jurny.md) |
| 10 | [Growify](https://openaitools.app/tool/growify) | 8,513 | +11.5% | Paid (quote-based); Contact for Pricing | AI attribution that shows which marketing channels actually earn their budget | [.md](https://openaitools.app/tool/growify.md) |

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Source: https://openaitools.app/compare/airroi-vs-flameanalytics-com

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