Sherlock Calls
for Google Analytics + PostgreSQL
Google Analytics tracks every web visitor, session, and conversion on your site. PostgreSQL stores your application's core operational data and business records. 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
- 1
Sherlock Calls connects to Google Analytics, PostgreSQL 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 Google Analytics nor PostgreSQL can answer alone. Google Analytics shows web traffic — not which sessions turned into calls, deals, or revenue. PostgreSQL holds every business record your app has ever created — but turning that into an answer requires a developer to write the query. 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 web analytics + database query
2
Connected platforms, 1 Slack question
0
Code changes or webhooks required
The Investigation Gap
What's invisible when you use Google Analytics + PostgreSQL without Sherlock
Each platform shows you its own data. But the questions that matter most live in the gaps between them.
Google Analytics and PostgreSQL tell different stories from the same underlying data
Google Analytics aggregates and summarises. PostgreSQL holds the raw events. When a metric moves unexpectedly, understanding whether it's real or an artefact of aggregation requires querying the PostgreSQL source — which most teams can't do without engineering help.
Ad-hoc questions that cross Google Analytics dashboards and PostgreSQL raw tables require a developer
Every question that needs both the Google Analytics trend view and the PostgreSQL row-level detail goes into an engineering backlog. By the time the answer arrives, the decision has already been made without it.
Google Analytics sampling and PostgreSQL full-fidelity data silently diverge
Google Analytics may sample high-volume datasets for performance. PostgreSQL holds every event. The gap between what Google Analytics reports and what PostgreSQL actually recorded is invisible until a major decision rides on the discrepancy.
Cross-Provider Questions
What teams ask Sherlock about Google Analytics + PostgreSQL
Questions that would take hours to answer manually — answered in under 5 seconds from Slack.
- SC“Which PostgreSQL tables have the fastest-growing row counts that Google Analytics dashboards aren't yet tracking?”
- SC“Show me Google Analytics metrics where the PostgreSQL source data hasn't been updated in the last 30 days”
- SC“Which PostgreSQL events in the last 7 days show patterns not visible in Google Analytics aggregated reports?”
- SC“What's the PostgreSQL raw data behind the Google Analytics metric that spiked yesterday?”
- SC“Find PostgreSQL tables whose data contradicts what Google Analytics is currently displaying”
Beta Setup
Connect Google Analytics + PostgreSQL to Sherlock in 2 minutes
No code, no webhooks, no new dashboards. Beta users get direct onboarding support.
- 1
Connect Google Analytics
Add your Google Analytics credentials to Sherlock Calls. Read-only access — no code changes, no webhooks, no Google Analytics configuration required.
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Connect PostgreSQL
Add your PostgreSQL credentials. Sherlock indexes all relational tables, business records, operational data, and application state automatically.
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Ask your first cross-provider question. The game is afoot.
Type any question about your combined Google Analytics + PostgreSQL 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 + Google Analytics + PostgreSQL
How does Sherlock Calls connect Google Analytics and PostgreSQL data?
- Sherlock uses read-only API access to both platforms simultaneously. When you ask a question, it queries Google Analytics, PostgreSQL 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 Google Analytics and PostgreSQL?
- 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 Google Analytics + PostgreSQL stack?
- You can investigate anything that spans both platforms — traffic source quality and conversion rate, table row counts and query latency, 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 Google Analytics and PostgreSQL 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 Google Analytics and PostgreSQL and is accessed only during an active investigation.
How long does it take to set up the Google Analytics + PostgreSQL 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 + Google Analytics + PostgreSQL
We're accepting a select group of beta users to shape the Google Analytics + PostgreSQL combination. Tell us about your stack and we'll reach out personally if you're a fit.
Explore individual integrations