Mebius
Mebius: A broad mystery-shopping platform with AI analysis, validation, and integration options. Ranked #1 of 21 in Mystery Shopping Software by our editors (8.8/10); pricing: Pricing on request; best for multichannel programs needing AI and integrations.
At a glance
- Editor score8.8 / 10
- PricingPricing on request
- Best forMultichannel programs needing AI and integrations
- Free planNo
- Shopper portalYes
- Founded2005
- Facts checked20 Sep 2026
Where it wins
- Supports eight mystery-shopping programme types across multiple channels.
- Combines GPS validation, multimedia evidence, and three-level quality control.
- Offers AI analysis, REST APIs, webhooks, Shopmetrics, and SASSIE integrations.
Where it doesn't
- Pricing is handled through contact sales and project scoping.
- There is no free plan for evaluating the platform independently.
- Its broad program coverage may exceed the needs of narrow mystery-shopping teams.
Our verdict on Mebius
Mebius is a web and API-based retail intelligence platform for brands and enterprise teams running mystery shopping and customer experience programs. It covers store, call, web, repair, test-drive, reveal, dealer-network, and competitor visits. Alongside mystery shopping, the broader offering includes Voice of Customer, Audit & Compliance, and field training. A proprietary shopper panel supports profile-based selection, while the mobile app guides shoppers and supports questionnaire completion. The platform also includes shopper payments, assignment scheduling, dashboards, and result analytics.
Its strongest fit is for multichannel programs that need control over field data and evidence. Automatic validation uses GPS and timestamps, and shoppers can submit photo and audio evidence. A three-level quality-control process supports review before results reach dashboards, where teams can identify priorities and view real-time data. AI analysis works across reviews and field data by customer cluster, adding an analysis layer for teams managing customer experience across retail networks such as automotive, fashion, grocery, banking, hospitality, telecommunications, and utilities.
Mebius is built for structured programs rather than lightweight, self-serve projects. Pricing is handled through contact sales, with scope-based quotes or pilots instead of a published standard plan, and there is no free plan. Integration support includes REST APIs, webhooks, Shopmetrics, and SASSIE. Founded in 2005, Mebius suits organizations that need several program types, a proprietary shopper field, multimedia evidence, quality controls, and AI analysis in one environment. Teams seeking a small, narrowly focused mystery-shopping tool or independently managed trial should consider a simpler alternative.
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Mebius pricing
Mebius fact sheet
| Free plan | No |
|---|---|
| Paid from | Not verified |
| Shopper portal | Yes |
| Assignment scheduling | Yes |
| Report form builder | Not verified |
| Mobile shopper app | Yes |
| Evidence collection | Multiple |
| Shopper payments | Yes |
| Results analytics | Yes |
| Deployment | Cloud, Mobile |
| Platforms | Web |
| Compliance & security | ISO 27001, GDPR |
| Support | |
| Built for | Mid-market, Enterprise (editorial estimate) |
| Integrations | 2 integrations: Shopmetrics, Sassie |
| Pricing | Pricing on request |
| Website | mebius.it |
| Facts checked | 20 Sep 2026 |
Mebius integrations
Mebius lists 2 integrations on its own site.
- Shopmetrics
- Sassie
Alternatives to Mebius
- CheckerA full mystery-shopping workflow spanning shoppers, fieldwork, payments, reporting, and fraud checks.7.8
- Shopmetrics NEXTA broad mystery shopping platform for managing complex field programs and corrective actions.7.7
- HyperspaceA €55/month platform combining mobile audits, evidence, dashboards and corrective actions.7.6
Mebius vs the competition
- Mebius vs Checker
- Mebius vs Shopmetrics NEXT
- Mebius vs Hyperspace
- Mebius vs PRISM Mystery Shopping Platform
- Mebius vs Qmoxi Retail
- Mebius vs KPI Mystery Shopping Platform
Compare Mebius with any tool side by side →
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Reviewed by iTechGuides Editors · Editorial team · Updated Oct 2026
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