Direct to BigQuery

Sync Infinity to BigQuery in Under 5 Minutes

Sync Infinity to BigQuery in Under 5 Minutes

Automatically sync call, goal, and itemised call data from Infinity directly into your own BigQuery project — purpose-built for marketing agencies and large marketing teams.

Automatically sync call, goal, and itemised call data from Infinity directly into your own BigQuery project — purpose-built for marketing agencies and large marketing teams.

Trusted by 1,000+ ad accounts • $700M+ managed spend • 99.9% uptime

Trusted by 1,000+ ad accounts • $700M+ managed spend • 99.9% uptime

DATA PIPELINE

Infinity

Weavely

BigQuery

Looker Studio

Sheets

Own your data

Your Infinity data lands directly in your BigQuery project — not ours.

Data ownership

You own your data

Warehouse-native setup

Connect to any BI tool

Historical backfills

Automatically included

Save time on reporting

Automated reporting

Client grouping

Organized by default

Data ownership

You own your data

Historical backfills

Automatically included

Client grouping

Organized by default

Warehouse-native setup

Connect to any BI tool

Save time on reporting

Automated reporting

Explore what you can export

Clean, structured exports designed for scalable agency reporting and data warehousing.

This is just a preview — explore the full dataset by creating a free account or booking a demo.

Calls

DIMENSIONS

Account ID
Account Name
Ad Group
Ad Ref
Call Direction
Call Rating
Call Reference
Call Stage
Call State
Campaign
Channel ID
Channel Name
Channel Type
City
Conversion URL
Country
Date
Destination Phone Number
Dial-in Group
Dial-in Group Name
Dialled Phone Number
Domain
Goal Currency
Goal ID
Hashed Caller Number
Keyword Ref
Landing URL
Match Ref (Keyword/Placement)
Match Type
Network
New Visitor
Number Type
Operator Ref
Org ID
Outcome Type
Page Title
Page URL
Postcode
PPC Assisted
Recorded
Referrer
Region
Row ID
Segment Group Name
Segment ID
Segment Name
Source
Term
Trigger Datetime
Visitor ID
Visitor Type

METRICS

Bridge Duration
Call Duration
Goal Value
IVR Duration
Lead Score
Queue Duration
Ring Time
Visitor Call Count
Visitor Goal Count
Visitor Page Count

Goals

DIMENSIONS

Account ID
Account Name
Ad Group
Ad Ref
Campaign
Channel ID
Channel Name
Channel Type
City
Conversion URL
Country
Date
Domain
Goal Currency
Goal ID
Keyword Ref
Landing URL
Match Ref (Keyword/Placement)
Match Type
Network
New Visitor
Org ID
Page Title
Page URL
Postcode
PPC Assisted
Referrer
Region
Row ID
Segment Group Name
Segment ID
Segment Name
Source
Term
Trigger Datetime
Visitor ID
Visitor Type

METRICS

Goal Value
Lead Score
Visitor Call Count
Visitor Goal Count
Visitor Page Count

Itemised Calls

DIMENSIONS

Account ID
Account Name
Call Direction
Channel Name
Channel Type
Charge Currency Code
Date
Dial-in Group Name
Org ID
Row ID
Segment Name
Trigger Datetime
Visitor ID

METRICS

Call Charge
Call Duration
Per Minute Charge

From account to warehouse in minutes

Step 1

Connect Infinity

Secure OAuth authentication

Step 2

Link BigQuery

Select your GCP project

Step 3

Enable exports

Choose your tables

Step 4

Data flows

Automated syncs

Built differently from the start

Feature

Weavely

Typical Connector

Data Storage

Your BigQuery

Vendor-owned

Pricing Model

Flat per ad account

Confusing & expensive

Historical Data

Included

Often add-on

Setup Time

Under 1 hour

Days or weeks

Multi-Client Management

Under 1 hour

Built for single brands

Weavely vs Supermetrics

Supermetrics is powerful for spreadsheet exports and dashboard connectors. Weavely is built for warehouse-native agencies.

Weavely

Direct BigQuery export

Flat per-account pricing

Agency-native architecture

No row-based billing traps

Multi-client structure built-in

Supermetrics

Often per-destination pricing

Volume-based billing

Primarily dashboard-focused

Data often routed through vendor infrastructure

If you're building a scalable agency data warehouse, Weavely is purpose-built for that workflow.

Weavely vs Funnel

Funnel is powerful for centralized reporting and managed transformations. Weavely is built for agencies that want direct control of their data inside BigQuery.

Weavely is

Purpose-built for marketing data

Built for BigQuery from day one

Optimized for agency client structures

Predictable, usage-based pricing

Fast to deploy and scale

Funnel often:

Acts as a reporting layer, not a warehouse

Charges per data volume or workspace

Stores data outside your own BigQuery project

Adds unnecessary transformation layers

Becomes expensive as agencies grow

If you're building a scalable agency data warehouse — not just a reporting layer — Weavely is purpose-built for that workflow.

Technical FAQs

How often does data sync?

Data syncs automatically on a scheduled basis. Most agency accounts sync multiple times per day. Sync frequency can be configured depending on reporting needs.

Does the data land in Weavely's warehouse?

No. Data is exported directly into your BigQuery project. Weavely does not act as a long-term storage layer for your reporting data.

Is historical backfill included?

Yes. On setup, Weavely pulls historical Infinity data so you can start with a complete performance dataset.

Do you support attribution windows?

Yes. Because data is structured inside your BigQuery project, you can join it with GA4, CRM, Shopify, or custom datasets for full-funnel analysis.

How do you handle schema changes?

Weavely monitors platform API changes and updates export schemas automatically to ensure continuity and minimal disruption.

Ready to scale without reporting chaos?

Stop losing time to broken connectors. Build infrastructure that scales with your agency.

Ready to scale without reporting chaos?

Stop losing time to broken connectors. Build infrastructure that scales with your agency.

Ready to scale without reporting chaos?

Stop losing time to broken connectors. Build infrastructure that scales with your agency.