CrawlBot AI vs. Ada CX Analytics
Ada CX analytics provide insight into intents and ticket flows. CrawlBot instruments grounded website answers with per-embed metrics, retrieval traces, and fallback reasons. Here is how they differ and why pairing both gives a fuller picture.
Comparison
| Dimension | CrawlBot AI | Ada CX Analytics |
|---|---|---|
| Focus | Grounded Q&A metrics (impressions, opens, chats, fallback reasons) | Intent deflection, ticket routing, agent assist |
| Data source | Live site crawl events and retrieval traces | Intent execution and ticket outcomes |
| Freshness metrics | Stale page ratio alerts, crawl runs, embedding versions | Ticket backlog, SLA compliance |
| Feedback loops | In-flow thumbs, unanswered queues, negative feedback alerts | Intent misfires, agent escalations |
| Security | Widget CSP, origin checks, SSO, formal threat model | Platform security within Ada CX |
When CrawlBot analytics matter
- Marketing, docs, and pricing pages need visibility into chat impressions, opens, chats, and containment without relying on ticket systems.
- Retrieval transparency (scores, fallback reasons) shows whether hallucinations stem from threshold issues or content gaps.
- Stale page ratio alerts highlight when your site content lags the assistant’s answers.
When Ada CX analytics shine
- Intent-level deflection, SLA, and agent assist metrics across ticket channels.
- Tracking how conversational flows perform in CRM-integrated scenarios.
- Understanding escalation paths across chat, email, and messaging.
Pairing the insights
- Use CrawlBot metrics to spot which pages drive most chat volume and where fallback reasons cluster.
- Correlate unanswered questions with Ada CX intents to see if ticket flows should be updated or if CrawlBot needs fresh content.
- Feed negative feedback alerts into both analytics streams so marketing and support teams know which URLs to prioritize.
- Compare containment (CrawlBot) with deflection rates (Ada CX) to decide when to adjust routing or add new intents.
Grounded web analytics do not replace ticket insights; they complement them. Using both gives you full visibility from first touch to resolution.