# Crisp vs Flame Analytics

Crisp records 1,408,646 monthly visits with +1.5% month-over-month growth and Free Trial, Paid, Contact for Pricing, Free pricing. Flame Analytics records 22,598 monthly visits with -5.6% growth and Contact for Pricing pricing.

| Metric | [Crisp](https://openaitools.app/tool/crisp-chat) | [Flame Analytics](https://openaitools.app/tool/flameanalytics-com) |
| :--- | :--- | :--- |
| Website URL | https://crisp.chat | https://flameanalytics.com |
| Categories | AI Chatbot, AI Knowledge Base, AI Customer Service, AI CRM | AI For Data Analytics, AI Marketing, AI Data Mining, AI Lead Generation |
| Pricing Model | Free Trial, Paid, Contact for Pricing, Free | Contact for Pricing |
| Monthly Visits | 1,408,646 | 22,598 |
| MoM Growth Rate | +1.5% | -5.6% |
| Primary Market | France | Spain |
| Direct Visits | 1,154,066 | 5,946 |
| Review Score | 4.6 | 4 |
| Saved Count | 0 | 0 |
| Supported Platforms | Website | Website |

## Crisp

Crisp started as a live chat widget and grew into a full customer support suite. Conversations from a website widget, email, WhatsApp, Messenger, Instagram, and other channels all land in one collaborative inbox that agents can share, assign, and manage together. Alongside the inbox sit a help center for self-service articles, a lightweight support CRM that stores customer data and past interactions, and analytics that track team performance.

The centerpiece now is the AI layer. You train an AI agent on the content you already have — public pages, help articles, PDFs — and then build a workflow in a no-code builder or from a template library. That workflow can be deployed to any connected channel, and you can review every exchange to refine answers that fell short. Crisp positions this as a way to automate roughly half of routine inquiries so humans handle the cases that matter.

Crisp is built by a French company and emphasizes European data handling, with a status page, extensive integrations, and a developer hub for teams that want to extend the platform further. It serves companies of many sizes, from small businesses to larger support organizations.

**Pricing & Plans:** Free tier available plus paid plans, with a 14-day free trial covering all features and no credit card required. Flat-rate pricing is offered to reduce cost per agent; check the site for current tiers.

- **Omnichannel shared inbox:** Collect and manage conversations from web chat, email, WhatsApp, Messenger, Instagram, and more in one collaborative inbox.
- **No-code AI agents:** Train an agent on your website, help articles, and PDFs, then build answer workflows with a visual builder or ready-made templates.
- **Knowledge base and help center:** Publish branded help articles so customers can resolve common questions without contacting support.
- **Support CRM:** Keep leads and customer records with full conversation history in one place for more personal, contextual replies.
- **Analytics and automations:** Track daily support metrics, then automate internal routing and repetitive tasks with no-code workflows.

**Strengths:** One platform covering chat, email, and social messaging rather than several disconnected tools; No-code AI agent builder makes automation accessible without engineering help; Free tier and a no-card trial let small teams start without upfront cost; European company with a public status page and a developer hub for custom work

**Limitations:** The breadth of features can take time to configure for a first-time setup; Advanced AI capabilities and analytics sit behind higher-priced plans; Some social channels depend on third-party platform policies and API limits

[Profile (Markdown)](https://openaitools.app/tool/crisp-chat.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 Crisp and Flame Analytics compare in monthly traffic?

Crisp has 1,408,646 monthly visits, while Flame Analytics has 22,598. Traffic estimates describe audience size, not product quality.

### How do their growth rates compare?

Crisp has a month-over-month growth rate of +1.5%; Flame Analytics has -5.6%.

### How does pricing compare?

Crisp: Free Trial, Paid, Contact for Pricing, Free. Free tier available plus paid plans, with a 14-day free trial covering all features and no credit card required. Flat-rate pricing is offered to reduce cost per agent; check the site for current tiers. 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 | [tawk.to](https://openaitools.app/tool/abdul-malik-ibrahim-jaber-hassan) | 5,726,823 | -1.5% | Freemium | Delivers a completely free live chat foundation with strong visitor tracking, though its interface feels more traditional than Crisp. | [.md](https://openaitools.app/tool/abdul-malik-ibrahim-jaber-hassan.md) |
| 2 | [Intercom](https://openaitools.app/tool/intercom-help) | 2,764,543 | -5.8% | Free Trial, Paid | Offers much more advanced AI automation and analytics, but comes with a significantly higher pricing tier than Crisp. | [.md](https://openaitools.app/tool/intercom-help.md) |
| 3 | [Respond.io](https://openaitools.app/tool/respond-io) | 1,606,802 | -8.7% | Freemium | Excels at unifying disparate social messaging channels into one inbox, but is less focused on traditional website widget customization. | [.md](https://openaitools.app/tool/respond-io.md) |
| 4 | [Chaport](https://openaitools.app/tool/chaport-com) | 1,458,924 | +130.1% | Freemium | Offers a lightweight and budget-friendly live chat and chatbot setup, but lacks Crisp's extensive omnichannel knowledge base features. | [.md](https://openaitools.app/tool/chaport-com.md) |
| 5 | [eesel AI](https://openaitools.app/tool/eesel-ai) | 556,113 | +5.7% | Freemium, Free Trial, Paid, Contact for Pricing | Autonomous AI agents for customer service, content and operations | [.md](https://openaitools.app/tool/eesel-ai.md) |
| 6 | [Tidio](https://openaitools.app/tool/tidio) | 527,313 | -6.4% | Freemium | Provides robust e-commerce integrations and visual bot builders, but has a more structured pricing model than Crisp. | [.md](https://openaitools.app/tool/tidio.md) |
| 7 | [Re:amaze](https://openaitools.app/tool/reamaze-com) | 455,787 | +3.6% | Free Trial, Paid, Contact for Pricing | Combines helpdesk ticketing and live chat seamlessly, but features a less modern user interface compared to Crisp. | [.md](https://openaitools.app/tool/reamaze-com.md) |
| 8 | [Richpanel](https://openaitools.app/tool/richpanel) | 384,348 | -9% | Free Trial, Contact for Pricing | Tailored specifically for e-commerce stores with deep Shopify integrations, whereas Crisp serves a broader range of business types. | [.md](https://openaitools.app/tool/richpanel.md) |
| 9 | [BoldDesk](https://openaitools.app/tool/bolddesk) | 124,232 | -15.6% | Free Trial, Contact for Pricing | Provides structured IT service desk ticketing and knowledge bases, but feels less optimized for casual real-time website chat. | [.md](https://openaitools.app/tool/bolddesk.md) |
| 10 | [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) |

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

More Markdown: [Categories](https://openaitools.app/categories.md) · [Traffic rankings](https://openaitools.app/rankings.md) · [llms.txt](https://openaitools.app/llms.txt)