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.
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.
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.
This guide answers what is the best customer journey analytics tool for B2B by evaluating top platforms — led by Cometly, an AI-powered attribution solution that connects paid ad spend to pipeline and closed-won revenue — across key criteria including multi-touch attribution, CRM integrations, and reporting quality.
This guide ranks the 8 best marketing analytics platforms for B2B SaaS in 2026, evaluating each on B2B-specific attribution, CRM and ad platform integrations, pipeline and revenue visibility, and pricing transparency — so growth teams can confidently connect ad spend to closed-won revenue.
This guide breaks down nine leading customer experience mapping tools for B2B SaaS teams in 2026, using a real customer experience mapping example to show how each platform connects behavioral data, attribution signals, and revenue outcomes into a single, actionable view — helping teams stop guessing and start optimizing the full buyer journey.
The customer shopping journey rarely follows a straight line—buyers touch your brand dozens of times across channels before converting, and last-click attribution misses most of it. This article explains how to track and attribute every stage of the journey so marketing teams can make smarter, full-funnel investment decisions.
The customer journey in digital marketing is far more complex than a single click or last-touch conversion — especially for B2B SaaS buyers who move through multiple channels before signing. This article breaks down how to accurately track, analyze, and optimize every touchpoint so marketing teams can attribute revenue correctly and invest in what truly drives growth.
Customer journey planning is an operational discipline that helps B2B SaaS marketing teams understand exactly how prospects move from first awareness to signed contract, which channels contribute at each stage, and where friction slows or kills deals. This guide equips marketing leaders with a structured, data-driven framework to move beyond channel-level reporting and connect every touchpoint to pipeline velocity and revenue outcomes.
Measuring marketing performance across channels requires a unified tracking system that connects your ad platforms, CRM, and website into a single source of truth, then evaluates each channel against shared KPIs like cost per acquisition and attributed revenue. This guide walks B2B SaaS teams through building a reliable cross-channel measurement framework using tools like Cometly, Google Analytics 4, and HubSpot.
This article walks through seven practical UX journey map examples tailored to B2B SaaS buying scenarios, showing how journey maps expose friction points, emotional drop-offs, and channel gaps that standard analytics cannot capture. By pairing each map with accurate attribution data, marketers gain a complete picture of not just what customers did, but which touchpoints truly influenced their decisions.
A customer journey graphic is the visual framework B2B SaaS marketing teams need to connect fragmented data from ads, CRMs, and analytics into a single, coherent picture of how buyers actually move through the funnel. This article explains how to build one that drives smarter attribution decisions and more confident budget allocation across every touchpoint.
This guide delivers 8 actionable Customer Journey Tips designed for growth-focused B2B SaaS teams who need to move beyond surface-level analytics. From first ad impression to closed-won revenue, each strategy targets a specific breakdown point in the funnel to help marketers track every touchpoint, attribute pipeline accurately, and make smarter budget decisions.
Customer journey loyalty is a measurable, revenue-tied outcome that B2B SaaS marketing teams can track across every lifecycle touchpoint — not just the conversion event. This article breaks down how to identify which touchpoints build loyalty versus drive churn, so teams can improve CAC, grow LTV, and make ad spend compound over time.
This article presents seven practical user journey map examples designed for B2B SaaS marketing teams, showing how journey mapping serves as the analytical foundation for accurate marketing attribution — helping teams connect every touchpoint, from paid social ads to demo requests, to measurable revenue outcomes.
This guide reviews the 9 best customer journey analytics software for B2B in 2026, evaluating platforms like Cometly, HubSpot, Salesforce, and Mixpanel on attribution depth, CRM integration, and pipeline visibility. Whether your goal is connecting ad spend to revenue or mapping post-sale product behavior, this breakdown helps B2B teams find the right fit.
