Land modeled marketing data in Snowflake — query-ready
Skip the platform-by-platform pipeline build. Clarisights writes a normalized marketing dataset straight into your Snowflake account — every channel modeled, every schema stable, every refresh monitored.
Snowflake is the cloud data platform most marketing-analytics teams now anchor on. It's where ad spend, web events, CRM, and revenue meet — feeding BI dashboards, reverse-ETL, and ML models the rest of the company depends on.
Getting clean marketing data into Snowflake is the hard part. Each platform's API is different. Schemas drift. Custom pipelines are a six-month build and a permanent on-call rotation. Clarisights ships a managed alternative: a unified, monitored marketing dataset that lands in your Snowflake account — ready to query, model, and join.
Tables Clarisights writes to Snowflake
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-clustered, single-query ready.
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 — fresh hourly, ready for the modeling layer.
A six-month pipeline build, or a managed dataset
Most teams treat Snowflake as the destination and underestimate the engineering lift to feed it. Clarisights collapses that build to a few clicks — and keeps the pipes monitored after launch.
Build it yourself
Three to six months of API engineering before the first SELECT runs
API schema changes break your Fivetran configs and custom DAGs silently
Backfills, retries, and quota management become a permanent on-call rotation
Every new source means another connector to write, 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 Snowflake • Power blended-ROAS, contribution-margin, and LTV models from one source of truth • Feed reverse-ETL tools (Hightouch, Census) audiences built on unified marketing data
Gaming & Apps
• Join AppsFlyer, Adjust, and SKAN data with paid spend in one warehouse table • Build cohort, retention, and LTV models on marketing inputs your team didn't engineer • Power ML pipelines with clean, schema-stable training data
B2B SaaS
• Combine LinkedIn, Google, and field-marketing spend with Salesforce pipeline in Snowflake • Run pipeline-attribution and account-level models on governed, audited tables • Serve finance, BI, and data-science workloads from one warehouse-native marketing layer
Going live in Looker Studio
Three steps. No custom pipelines. Most teams query their first unified marketing table the same day.
STEP 1
Connect your sources to Clarisights
Authorize each ad platform once. Clarisights handles schema unification, retries, and historical backfill upstream.
STEP 2
Point Clarisights at your Snowflake account
Provision a role and warehouse for Clarisights to write into a database you control. Clarisights creates the tables, clustering keys, and grants — and starts loading.
STEP 3
Query, model, and serve — 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 wiring marketing into Snowflake with Fivetran or custom pipelines?
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.
