Ad Analytics Platform for Warehouse-Connected Marketing Data | GetCrux

Enterprise marketing teams rarely make decisions from ad platform data alone.

Meta, Google, TikTok, YouTube, LinkedIn, and programmatic platforms can show campaign metrics, ad-level performance, spend, clicks, conversions, and engagement. But for many enterprise growth teams, the real source of truth lives somewhere else: Snowflake, Postgres, Databricks, Tableau, Power BI, Looker, Metabase, Sigma, an MMP, an attribution platform, or an internal backend system. That creates a data gap.

GetCrux is an enterprise ad analytics and creative intelligence platform for teams that need to connect ad platform data with first-party performance data, attribution outputs, BI metrics, custom KPIs, and creative metadata. It supports integrations across ad platforms, first-party data sources, BI/reporting systems, attribution tools, and custom backend metrics, including Snowflake, Postgres, Databricks, Amazon S3, Power BI, Tableau, Looker, Metabase, Sigma, AppsFlyer, Northbeam, Triple Whale, Adjust, Singular, and custom attribution models.

Why enterprise ad analytics needs warehouse and first-party data

Ad platform dashboards are useful for campaign management, but they are usually incomplete for enterprise ad analytics.

A campaign can look strong inside Meta or Google while performing poorly against internal CAC, LTV, ROAS, lead quality, purchase quality, subscription value, or retention. A creative can drive cheap conversions in-platform but weak downstream revenue. A campaign can appear efficient under platform attribution but look different under an MMP, MMM model, MTA model, or custom attribution framework.

That is why enterprise teams often need ad analytics software with warehouse integration, first-party data integration, and custom attribution support.

The goal is not just to see which campaign won. It is to answer questions like:

• Which ads performed best against our internal source-of-truth KPI?
• Which creative themes drove the lowest CAC or strongest ROAS?
• Which campaigns looked good in-platform but underperformed in our warehouse data?
• Which messaging angles worked under our attribution model?
• Which platforms are scaling the strongest creative patterns?
• Which ads deserve more spend based on backend metrics, not just platform-reported results?

GetCrux supports custom KPI setup, custom metrics, attribution windows, and custom “winning creative” criteria. Teams can define custom metrics from numerator and denominator inputs, choose metric type, and define winning criteria by campaign goals or metric conditions.

How GetCrux connects ad analytics to your source-of-truth data

GetCrux is built for growth, performance, analytics, and creative teams that need ad analytics connected to internal business metrics.

The platform connects ad platform data with first-party sources, BI tools, attribution platforms, MMPs, and custom backend systems. This allows teams to evaluate ad and creative performance using metrics that live outside the ad platforms.

GetCrux supports major paid media and creative-led ad channels, including Meta, Facebook, Instagram, TikTok, Google, YouTube, LinkedIn, X, The Trade Desk, Criteo, InMobi, Tatari, AppLovin, and Moloco, with some channels supported as custom or on-demand integrations.

It also supports first-party, BI, warehouse, and attribution sources such as Snowflake, Postgres, Databricks, Amazon S3, Power BI, Tableau, Looker, Metabase, Sigma, AppsFlyer, Northbeam, Triple Whale, Adjust, Singular, and custom attribution models.

This makes GetCrux a fit for teams looking for:

• ad analytics platforms that combine ad data with warehouse data
• ad analytics tools for custom warehouse data
• paid media analytics platforms with warehouse support
• ad reporting tools with warehouse connectivity
• marketing analytics platforms that connect to first-party data
• enterprise ad analytics platforms with attribution integrations

GetCrux can also start lighter when a full warehouse or backend integration is not practical on day one. For POCs, teams can use offline creative assets, CSV performance exports, connected ad accounts, or report-based workflows before moving into deeper source-of-truth integrations.

Supported integrations: warehouses, BI tools, attribution, and ad platforms

GetCrux supports custom integrations across four main data categories:

Note: For BigQuery, Redshift or other tools, GetCrux can support a custom integration path based on the team’s data architecture.

What teams can analyze with warehouse-connected ad analytics

Warehouse-connected ad analytics is most useful when paid media decisions depend on internal metrics, not only channel-native reporting.

With GetCrux, teams can analyze ad performance across campaign, ad set, ad, creative, account, platform, audience, label, and custom KPI views. The platform supports AI labels, filters, grouping, graph views, and an AI Copilot that can answer questions against creative and performance data.

Creative performance against internal KPIs

GetCrux’s AI Creative Analyzer watches creative assets, labels individual elements, and connects those labels to performance data. Teams can compare hooks, offers, CTAs, messaging angles, creator types, visual elements, formats, audience segments, and fatigue signals against internal KPIs.

This matters for teams that need to understand why ads work, not only which ads won.

Instead of relying on ad names or manual tags, teams can analyze patterns such as:

• Which hooks are tied to lower CAC
• Which formats perform best against custom ROAS
• Which creator types drive higher-quality conversions
• Which messaging angles perform under a specific attribution model
• Which visual structures fatigue fastest
• Which creative elements appear most often in winners

Performance under custom attribution models

Many enterprise teams use MMPs, MMM, MTA, or internal attribution models to evaluate paid media. GetCrux can integrate with multiple attribution channels and custom attribution models, including workflows where customers use separate attribution models for Android and iOS.

This allows teams to compare creative and campaign performance against their own attribution logic instead of relying only on platform-reported conversions.

Cross-channel ad performance

GetCrux supports cross-channel normalization and consolidated views across multiple channels. It can show channel-level insights, such as what works well on Meta versus TikTok, and its AI Copilot can work across connected ad accounts and goals.

For teams running creative across multiple channels, this helps answer questions like:

• Which creative patterns work across channels?
• Which ones are platform-specific?
• Which channel scales a given message best?
• Which format performs best by campaign goal?

Custom reporting and winning criteria

GetCrux lets teams define custom metrics, default report metrics, attribution windows, and winning creative criteria.

For example, one team may define a winning ad as a creative that crosses a spend threshold while staying below a CAC target. Another team may define winners based on ROAS, lead quality, funded account rate, subscription value, or another backend KPI.

For example, one team may define a winning ad as a creative that crosses a spend threshold while staying below a CAC target. Another team may define winners based on ROAS, lead quality, funded account rate, subscription value, or another backend KPI.

Direct integrations, CSV ingestion, and POC options

A warehouse-connected ad analytics platform does not always need to start with a full warehouse integration.

Enterprise teams often need to clear security, legal, data engineering, and compliance steps before granting access to internal systems. That can slow down implementation, especially when the team wants to validate value first.

GetCrux supports multiple setup paths:

• Connected ad accounts
• Offline creative assets
• CSV performance exports
• Scheduled report exports
• Brand guideline uploads
• Custom internal metrics
• Full source-of-truth integrations for recurring analysis

For POCs, GetCrux can use offline creative assets, CSV performance data, or connected ad accounts. Custom source-of-truth integrations are supported, but POCs are often kept lighter to reduce setup burden. For full implementation, GetCrux can connect to ad platforms and internal data sources for recurring analysis across creative assets, campaigns, and backend KPIs.