20–30% of your inbound calls never connect. After-hours drops, overflow queues, voicemail hangups — they vanish from your reporting before a human ever sees them.

That’s the gap. And if your BI dashboards don’t include call data, you’re making location-level decisions on half the picture.

The Convirza Looker integration closes that gap. It pipes verified call intelligence — connection rates, missed call patterns, agent performance, and conversation outcomes — directly into the Looker dashboards your team already uses. No parallel tool. No manual exports. No guessing.

For multi-location businesses running on Looker, this is where invisible revenue becomes a line item you can act on. Explore the Convirza API and developer docs to see what’s available before your next sprint.


What does the Convirza Looker integration do for multi-location businesses?

The Convirza Looker integration sends structured call and conversation data — including connection status, call outcome, agent score, and campaign source — into Looker via API. Multi-location operators use it to surface location-level performance gaps, recover missed bookings, and tie ad spend to actual revenue conversations across every site. As of 2026.

Most BI stacks tell you what happened in your CRM. They don’t tell you what happened before the CRM entry — the call that never connected, the agent who mishandled the inquiry, the location that’s bleeding demand after 5pm.

We’ve tracked over 50 million calls. 96% of inbound calls are analyzed by zero humans. That’s not a staffing problem. That’s a data infrastructure problem — and Looker is where you fix it.

Location-Level Call Performance

Convirza sends per-location connection rates, missed call counts, and conversation outcomes to Looker in real time. You see exactly which locations are losing demand — not an average across all of them.

3× performance variance between best and worst location

After-Hours Demand Capture

Convirza flags every call that arrived outside business hours and routes the data to your Looker dashboards with timestamp and outcome. You can quantify the revenue sitting in after-hours voicemail.

28% of bookable demand arrives after hours — previously invisible

Campaign-to-Call Attribution

Every call carries its source — paid search, organic, direct, referral — into Looker alongside the conversation outcome. Your media team stops optimizing for clicks and starts optimizing for connected, converted calls.

Ties ad spend to actual revenue conversations, not just impressions

Agent Scoring at Scale

Conversation Analytics® scores every call against your defined criteria and pushes those scores into Looker. Managers see agent performance across all locations without listening to a single recording.

Automated scoring across 100% of calls — zero manual review required

What do the benchmarks show for multi-location businesses?

Based on data from 72,000+ locations across multi-location businesses, Convirza’s proprietary benchmarks reveal consistent, recoverable revenue gaps that standard BI reporting misses entirely — because the data never made it into the stack.

Based on data from 72,000+ locations across multi-location businesses, these numbers repeat across verticals and geographies.

20–30%
of inbound calls never connect
96%
of calls analyzed by zero humans

performance gap between best and worst location
28%
of bookable demand arrives after hours

These aren’t edge cases. They’re the baseline for businesses that haven’t connected call data to their BI layer yet.

The Gartner definition of conversation intelligence frames this as a strategic data category — not a call center add-on. Your Looker stack should reflect that.


How do you set up the Convirza Looker integration?

Setup takes under an hour for most technical teams. You connect Convirza to Looker via API, map your data fields, configure your location hierarchy, and activate your first dashboard. No professional services engagement required.

Here’s how it works in practice.

Step 1: Generate Your Convirza API Credentials

Log into your Convirza account and navigate to the developer settings panel. Generate an API key scoped to the data types you want to export — call records, conversation scores, connection events, or all three. Store the key securely before proceeding.

Step 2: Configure Your Looker Data Connection

In Looker, create a new data source pointing to the Convirza API endpoint. Map the Convirza call fields — location ID, call timestamp, connection status, campaign source, conversation score — to your existing Looker schema. Use the field mapping guide in the developer docs to avoid schema conflicts.

Step 3: Set Your Location Hierarchy

Define your location groupings inside Convirza to match how Looker organizes your business units. This step determines whether your Looker dashboards show location-level or roll-up data. Get it right here and every downstream report inherits the correct structure.

Step 4: Activate and Validate

Run a 48-hour data validation pass. Compare Convirza’s call volume numbers against your existing call logs. Once the counts align, publish your first Looker dashboard and set alert thresholds for missed call spikes by location.

For full technical documentation, visit /developers/convirza-looker-integration


How does Convirza compare to CallRail for Looker integration?

Convirza is built for multi-location operators who need call data embedded into enterprise BI stacks. CallRail is built for single-location marketers who need basic attribution. The difference shows up immediately in API depth, white-label capability, and how each platform handles location hierarchies at scale.

Feature Convirza CallRail
API depth Full REST API with webhooks, streaming events, and MCP server support Basic REST API; limited event streaming
Embedded / white-label ✓ Full white-label embedding for software vendors and operators ✗ No white-label capability
Multi-location support ✓ Native location hierarchy; 72,000+ locations instrumented Limited; requires manual account structuring
Vertical benchmark data ✓ 20+ years of call corpus; vertical-specific benchmarks included ✗ No proprietary benchmark data
MCP server ✓ Available for AI-native workflow integration ✗ Not available
Setup time to first data Under 1 hour for most technical teams 1–3 days with support ticket
Conversation Analytics® ✓ Automated call scoring on 100% of calls Keyword spotting only; no automated scoring

Embedding Convirza via API takes 90 days. Building equivalent infrastructure in-house takes 24 months. That’s an 8× time-to-market gap your product roadmap can’t absorb.


Frequently Asked Questions

Does this integration work for multi-location businesses?

Yes — and it’s specifically designed for them. Convirza’s location hierarchy maps directly to how multi-location operators structure their Looker dashboards. You get per-location call performance, missed call rates, and agent scores without flattening the data into a single aggregate view. We’ve instrumented 72,000+ locations across 750+ enterprise customers.

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