Sherlock Calls
for Bland AI + Google Analytics
Bland AI runs AI-powered outbound calling campaigns at scale. Google Analytics tracks every web visitor, session, and conversion on your site. When you need to investigate across both, the evidence is split between two dashboards neither of which knows the other exists. Sherlock Calls bridges them — no code, no exports, no manual joins. Ask once from Slack and get a sourced answer in under 5 seconds.
TL;DR — What beta users get access to
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Sherlock Calls connects to Bland AI, Google Analytics simultaneously — read-only, no code changes, no webhooks — and lets you query both with a single Slack message.
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Ask questions that neither Bland AI nor Google Analytics can answer alone. Bland AI shows campaign outcomes — not the carrier-level errors silently killing them. Google Analytics shows web traffic — not which sessions turned into calls, deals, or revenue. Sherlock deduces the complete picture from both.
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No dashboard switching, no manual joins, no fog of uncertainty — ask in Slack and receive a sourced answer with evidence from every connected provider in under 5 seconds. The game is afoot.
<5s
Answer to any voice AI + web analytics query
2
Connected platforms, 1 Slack question
0
Code changes or webhooks required
The Investigation Gap
What's invisible when you use Bland AI + Google Analytics without Sherlock
Each platform shows you its own data. But the questions that matter most live in the gaps between them.
Bland AI and Google Analytics each hold half the picture
Bland AI shows campaign outcomes — not the carrier-level errors silently killing them. Google Analytics shows web traffic — not which sessions turned into calls, deals, or revenue. Without correlating both, your team sees two incomplete views of the same underlying reality — and every investigation stops at the boundary between systems.
Cross-platform cost and performance remain invisible
Bland AI tracks its own per-minute agent cost. Google Analytics tracks its own cost per web acquisition. Your true cost per outcome — and the performance of each component in your combined stack — requires data from both, but neither platform shows you that unified picture.
Critical events disappear at the boundary between systems
When a session, contact, or signal moves between Bland AI and Google Analytics, the transition is recorded with different identifiers in each system. Tracing what happens across the full journey requires a manual join that takes hours you don't have.
Cross-Provider Questions
What teams ask Sherlock about Bland AI + Google Analytics
Questions that would take hours to answer manually — answered in under 5 seconds from Slack.
- SC“What's the combined activity across Bland AI and Google Analytics in the last 7 days?”
- SC“Show me events that touched both Bland AI and Google Analytics in the last 24 hours”
- SC“What's our blended cost per outcome across Bland AI and Google Analytics this month?”
- SC“Which Bland AI sessions had issues that correlate with Google Analytics events this week?”
- SC“Compare performance metrics across Bland AI and Google Analytics for the past 30 days”
Beta Setup
Connect Bland AI + Google Analytics to Sherlock in 2 minutes
No code, no webhooks, no new dashboards. Beta users get direct onboarding support.
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Connect Bland AI
Add your Bland AI credentials to Sherlock Calls. Read-only access — no code changes, no webhooks, no Bland AI configuration required.
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Connect Google Analytics
Add your Google Analytics credentials. Sherlock indexes all web sessions, traffic sources, events, and funnel data automatically.
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Ask your first cross-provider question. The game is afoot.
Type any question about your combined Bland AI + Google Analytics stack in Slack. Sherlock queries all connected platforms in parallel, correlates the evidence, and returns a sourced answer in under 5 seconds.
FAQ
Common questions about Sherlock + Bland AI + Google Analytics
How does Sherlock Calls connect Bland AI and Google Analytics data?
- Sherlock uses read-only API access to both platforms simultaneously. When you ask a question, it queries Bland AI, Google Analytics in parallel, correlates the results by timestamp and shared identifiers, and produces a single sourced answer — the same way a good detective correlates evidence from multiple witnesses.
Do I need to set up any data pipelines between Bland AI and Google Analytics?
- No. Sherlock Calls is entirely pull-based — it queries both APIs on demand when you ask a question. There are no webhooks, no ETL pipelines, no data warehouses, and no code changes required in any of the connected platforms.
What kinds of questions can I ask about my Bland AI + Google Analytics stack?
- You can investigate anything that spans both platforms — live-answer rate and conversion per campaign, traffic source quality and conversion rate, cross-platform costs, handoff patterns, and performance comparisons. Sherlock translates your plain-English question into the right API calls and returns the deduced answer.
Is my Bland AI and Google Analytics data stored by Sherlock?
- No. Sherlock Calls queries your data in real time and returns results directly to Slack — nothing is stored, indexed, or replicated in any Sherlock database. All data remains in Bland AI and Google Analytics and is accessed only during an active investigation.
How long does it take to set up the Bland AI + Google Analytics integration?
- Elementary — typically under 5 minutes total. Connect each platform with read-only credentials, install the Sherlock Calls Slack app, and ask your first question. No engineering, no dashboards, no onboarding calls required.
Apply for early access to Sherlock + Bland AI + Google Analytics
We're accepting a select group of beta users to shape the Bland AI + Google Analytics combination. Tell us about your stack and we'll reach out personally if you're a fit.
Explore individual integrations