Land unified marketing data in BigQuery — query-ready, day one
Skip the months of pipeline engineering. Clarisights writes a normalized, monitored marketing dataset straight into your BigQuery project — every channel modeled, every schema stable.
BigQuery is Google Cloud's serverless data warehouse. Marketing and analytics teams use it as the system of record — joining ad spend, web events, CRM, and revenue data, then powering downstream BI, reverse-ETL, and ML.
Building marketing pipes into BigQuery is a six-month project most teams underestimate. Each platform's API is different. Schemas drift. Backfills break. Clarisights ships a managed alternative: a normalized, monitored dataset that lands in your BigQuery project — modeled, partitioned, and ready to query — without your data team writing a single Airflow DAG.
Tables Clarisights writes to BigQuery
From CMO-level summaries to weekly business reviews — every chart pulls from the same Clarisights feed.
Unified Spend Table
marketing.unified_spend — Channel-agnostic spend, conversions, and impressions table — normalized fields, daily partitions, ready for a single GROUP BY.
Creative Performance Table
marketing.creative_performance — Creative-level performance with platform-native dimensions preserved and unified metrics layered on top.
Blended Attribution Table
marketing.attribution_blended — MMP and last-click data joined to spend — your modeling layer's input table, kept fresh hourly.
A six-month pipeline project, or a managed dataset
Most teams treat BigQuery as the destination and underestimate the lift to get clean marketing data into it. Clarisights collapses that to a few clicks — and keeps the pipes monitored after they ship.
Build it yourself
Three to six months of platform-by-platform API engineering before the first query runs
API schema changes silently break your DAGs at 2 a.m.
Backfills, retries, and quota management become a permanent on-call rotation
Every new source = another connector to write, test, monitor, and pay for
Connect these sources to Looker Studio
Your most-used ad platforms, attribution tools, and revenue systems — unified into one feed and ready for any chart.
How teams use Looker Studio with Clarisights
Three patterns we see across the customer base. Each one starts in Clarisights and lands in a Looker Studio dashboard the team actually checks.
E-commerce & DTC
• Join Clarisights marketing tables with Shopify, Stripe, and CDP data already in BigQuery • Power blended-ROAS, contribution-margin, and LTV models from a single source of truth • Feed reverse-ETL tools (Hightouch, Census) audience definitions built on unified marketing data
Gaming & Apps
• Join AppsFlyer, Adjust, and SKAN data with paid spend in a single warehouse table • Build cohort, retention, and LTV models with marketing inputs your data team didn't have to engineer • Feed ML pipelines clean training data — no more "this CTR field changed last quarter"
B2B SaaS
• Combine LinkedIn, Google, and field-marketing spend with Salesforce pipeline in BigQuery • Run pipeline-attribution and account-level models against governed, audited tables • Power finance, BI, and data-science workloads from one warehouse-native marketing layer
Going live in Looker Studio
Three steps. No DAGs to write. Most teams query their first unified marketing table the same day.
STEP 1
Connect your sources to Clarisights
Authorize each ad platform, attribution tool, and revenue system once. Clarisights handles schema unification, retries, and historical backfill upstream.
STEP 2
Point Clarisights at your BigQuery project
Grant a service account write access to a dataset you control. Clarisights creates the tables, partitions, and clustering keys — and starts streaming.
STEP 3
Query, join, and model — without owning the pipes
Tables refresh on schedule. Schemas stay stable across platform API changes. Your dbt models, BI tools, and ML jobs read clean inputs by default.
Already piping data into Looker Studio with another tool?
Already running custom Airflow DAGs into BigQuery?
Those tools are pipes — they shuttle data into Looker Studio and stop there. Clarisights ships the same pipe, then layers on normalization, calculated metrics, monitoring, and the reporting interface your team won't outgrow in six months.
Frequently Asked Questions
Connect in minutes. Your first cross-channel dashboard is ready the same day. No engineering required.
