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Explore real tactics, tools, and trends driving modern marketing performance.

Can ai agents replace manual ad campaign management?

This article examines whether AI agents can replace manual ad campaign management, detailing which tasks—like bid adjustments, budget pacing, and performance reporting—AI handles effectively, and where human judgment in strategy, creative direction, and brand decisions remains essential. For B2B SaaS marketing teams, the verdict points to a hybrid model backed by accurate attribution data.

Matt PattoliSeptember 7, 2026

AI Marketing16 minute read

What data does an ai agent need to optimize ad spend?

Optimizing ad spend with AI requires six core data types—conversion events, multi-touch attribution, revenue outcomes, audience signals, creative metrics, and cross-channel spend data. This article breaks down each data type and explains how platforms like Cometly help B2B SaaS teams build the complete data pipeline AI bidding algorithms need to perform.

Matt PattoliSeptember 7, 2026

AI Marketing16 minute read

How do I feed attribution data into ai for better ad targeting?

Feeding attribution data into AI for better ad targeting means sending enriched, accurate conversion signals from your CRM, website, and ad platforms directly to ad network APIs like Meta's Conversion API and Google's Enhanced Conversions. This guide covers seven strategies B2B SaaS teams can use to eliminate fragmented data, stop optimizing toward the wrong outcomes, and give ad platform AI the complete picture it needs to drive real revenue.

Grant CooperSeptember 7, 2026

AI Marketing11 minute read

How do ai agents use conversion data to optimize ad campaigns?

This article explains how AI agents use conversion data to optimize ad campaigns by continuously analyzing touchpoints, adjusting bids and budgets, and tightening feedback loops with each cycle. For B2B SaaS teams, it covers the specific mechanisms that turn high-quality conversion signals — like those delivered by Cometly's server-side tracking — into measurable campaign performance gains.

Matt PattoliSeptember 7, 2026

Conversion Tracking14 minute read

How do I sync conversion data to redshift?

This guide explains how to sync conversion data to Redshift by connecting ad platforms, CRM systems, and attribution tools through ETL pipelines or native integrations. B2B SaaS marketing teams will learn how Cometly centralizes multi-touch attribution data and exports enriched, revenue-linked conversion events directly into Redshift for deeper analytical querying.

Grant CooperSeptember 7, 2026

Analytics17 minute read

How do I create a single source of truth for marketing data in my warehouse?

Creating a single source of truth for marketing data in your warehouse means consolidating ad platforms, CRM, and website data into one normalized schema so every team works from the same definitions. This guide covers six concrete steps to fix the architecture problem behind mismatched conversion numbers, with Cometly accelerating the process through pre-built, enriched attribution pipelines.

Grant CooperSeptember 7, 2026

Analytics17 minute read

How do I send attribution data to snowflake?

This guide explains how to send attribution data to Snowflake using native integrations, ETL tools, or custom API pipelines—covering extraction, schema transformation, and loading so marketing, revenue, and data teams share a single, reliable source of truth. B2B SaaS teams using Cometly can streamline the process with enriched, deduplicated attribution data that is warehouse-ready from day one.

Matt PattoliSeptember 7, 2026

Analytics16 minute read

How do I join attribution data with product data in snowflake?

Joining attribution data with product data in Snowflake means linking campaign performance to real user outcomes — activation, upgrades, and expansion — using a shared key like user_id or session_id across tables. This guide walks B2B SaaS marketing teams through schema auditing, join key standardization, SQL query construction with CTEs, and output validation, with Cometly providing structured attribution data that maps cleanly to product usage tables.

Grant CooperSeptember 7, 2026

Facebook Ads13 minute read

How does accurate attribution data improve facebook advantage plus campaigns?

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Matt PattoliSeptember 7, 2026

Analytics14 minute read

What is a marketing data warehouse and why do I need one for attribution?

A marketing data warehouse is a centralized system that consolidates event-level data from ad platforms, CRMs, and billing tools into one queryable source — the foundation of accurate attribution. This article explains what is a marketing data warehouse and why do I need one for attribution, and how solutions like Cometly make it accessible without building costly infrastructure from scratch.

Grant CooperSeptember 7, 2026

Analytics15 minute read

How do I build an attribution data warehouse?

This guide explains how to build an attribution data warehouse by connecting ad platforms, CRM systems, and website tracking into a centralized, queryable layer where every touchpoint maps to revenue. Whether you choose a purpose-built solution like Cometly or a custom data engineering approach, you'll find a clear, step-by-step path to accurate marketing attribution.

Matt PattoliSeptember 7, 2026

B2B Saas13 minute read

Attribution Data Warehouse for B2B SaaS: What It Is and How to Use It

An attribution data warehouse for B2B SaaS is a centralized system that consolidates touchpoint data across ad platforms, CRMs, and product analytics to trace revenue back to specific campaigns and channels. This article explains what it is, why it matters for long B2B buying cycles, and how modern tools like Cometly deliver the same insights without a costly data infrastructure build.

Grant CooperSeptember 7, 2026

Ad Tracking14 minute read

How do I export ad attribution data to amazon s3?

This guide explains how to export ad attribution data to Amazon S3 using native integrations, pipeline tools like Fivetran or Airbyte, or manual CSV workflows — including how platforms like Cometly deliver multi-touch attribution data that is already analysis-ready when it lands in your bucket.

Matt PattoliSeptember 7, 2026

Analytics17 minute read

How do I export marketing attribution data to bigquery?

This guide explains how to export marketing attribution data to BigQuery using native integrations, data pipeline tools, or CSV workflows — including a step-by-step walkthrough for Cometly users. By the end, marketing and ops teams will have a live, analysis-ready connection between their attribution data and BigQuery, enabling SQL-based reporting, CRM joins, and full-funnel revenue insights.

Matt PattoliSeptember 7, 2026

Metrics14 minute read

How do I export ltv and mrr data from attribution software to my warehouse?

This guide explains how to export LTV and MRR data from attribution software to your data warehouse by leveraging APIs, native connectors, and scheduled syncs — giving your BI team the channel-level revenue insight needed to identify which ad channels drive the highest-value customers, not just the most conversions.

Matt PattoliSeptember 7, 2026

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