Glassbox vs Level AI Contact Center Analytics
Glassbox
glassbox.com
Level AI Contact Center Analytics
thelevel.aiSide by side
| Figure | Glassbox | Level AI Contact Center Analytics |
|---|---|---|
| Price from | — | — |
| Free plan | — | — |
| Free trial | — | — |
| Open source | — | — |
| Web | Yes | Yes |
| iOS | Yes | — |
| Android | Yes | — |
| API | Yes | Yes |
| Self-hosted | Yes | — |
| Plans published | 3 | 1 |
| Spec score · Customer Experience Analytics Software | 7.7 (#11) | 7.7 (#12) |
| Integrations | The integrations page names Adobe Analytics, Google Analytics, New Relic, Dynatrace, Qualtrics, Medallia, Jira, Slack, Firebase, Adobe Target and Optimizely among supported tools. | The integrations directory lists systems including Five9, Twilio, Amazon Connect, Talkdesk, Genesys, Zendesk, Salesforce, Okta, Slack, and Intercom. |
| Intended users | The pricing page frames packages for production operations, marketing or business, and product teams, with distinct session volumes and analytics retention periods. | The analytics page describes reporting for contact center leaders, operations teams, product teams, and compliance stakeholders. |
| Purpose | Glassbox captures and analyzes digital interactions across websites and mobile apps to help organizations understand customer experience. | The analytics platform analyzes calls, chats, and emails to surface agent and team performance, QA scores, CSAT, call drivers, trends, and contact center KPIs. |
Plans
Glassbox
- Marketing/BusinessPriced on request
- ProductPriced on request
- Production OperationPriced on request
Level AI Contact Center Analytics
- Level AI Contact Center AnalyticsPriced on request
In their own words
Glassbox
Glassbox captures and analyzes digital interactions across websites and mobile apps. Session recordings automatically collect user interactions and technical events, then provide video-like replays. Analytics cover customer journeys, mobile apps, performance, products, funnels, struggles and errors, and interaction maps. Rage-click detection identifies repeated clicks, while mobile capture covers app experiences. Insights Assistant can summarize sessions and search by parameters. Tagless capture is intended to reduce configuration work and can import tags from existing tools. Named integrations include Adobe Analytics, Google Analytics, New Relic, Dynatrace, Qualtrics, Medallia, Jira, Slack, Firebase, Adobe Target, and Optimizely. Deployment options include single-tenant AWS or Azure, multi-tenant cloud, and on-premises. Sensitive data is masked by default. Role-based controls, audit logs, and SSO with multifactor authentication are listed. Plans are priced on request.
Level AI Contact Center Analytics
Level AI Contact Center Analytics brings calls, chats, and email data together with QA scores, customer feedback, and performance measures. It helps contact center teams examine agent and team performance, customer sentiment, call drivers, and operational trends. Tracked measures include QA Score, InstaScore, iCSAT, sentiment, customer effort, resolution status, NPS, CSAT, average handle time, and first contact resolution. Users can build filtered reports, compare agents or teams, track KPIs, and review historical trends. Dashboards cover QA performance, coaching, auditor performance, Voice of the Customer, and conversation insights. AI Workers answer natural-language questions about contact center data; scheduled reports and threshold-based alerts can also send updates or activate AI Workers. Dashboards export as PDFs, while role-based permissions separate individual, team, and organization-wide views. Integrations include Five9, Amazon Connect, Talkdesk, Genesys, Salesforce, Zendesk, Snowflake, and Microsoft Teams. The product is available on web and via API. Pricing is on request.