Learn tracking essentials to monitor performance, understand user behavior, and optimize campaigns for data-driven results.
This article explains what server side tracking is and why you need it to capture conversions that browser pixels miss, and shows how tools like Cometly pair server-side tracking with Stripe and CRM data to report qualified revenue back to ad platforms.
This article explains what is the difference between pixel tracking and server side tracking, showing how browser-based pixels lose data to ad blockers and privacy restrictions while server side tracking sends conversion data directly to ad networks for more accurate attribution.
This guide explains how to set up server side tracking for Shopify by connecting your store to a server-side tagging or attribution platform — like Cometly — that sends conversion events directly from your server to ad platforms, bypassing ad blockers, iOS privacy restrictions, and third-party cookie limitations to ensure complete, accurate attribution data.
Sending CRM events back to Meta through server-side tracking via the Conversions API lets B2B teams pass downstream signals like qualified leads, opportunities, and closed-won deals directly from their server — data the Meta pixel never sees. This guide explains how to connect your CRM to Meta's CAPI to restore lost conversion signals, improve campaign optimization, and tie ad spend to real revenue outcomes.
Most B2B SaaS teams barely scratch the surface of sales email tracking, stopping at open rates while missing the connected data that links email engagement to real revenue outcomes. This guide covers seven proven strategies to close more deals by building a complete, attribution-ready email tracking system.
Google Consent Mode V2 is the privacy framework B2B SaaS marketers running Google Ads must implement to maintain accurate conversion tracking, usable remarketing audiences, and effective Smart Bidding signals under GDPR-aligned regulations. This guide explains how it works, why incomplete implementation creates dangerous attribution blind spots, and how to get it right.
Dark social refers to private sharing through channels like Slack, WhatsApp, and email that strips referral data and shows up as direct traffic, creating a major attribution blind spot for B2B marketers. This guide walks through step-by-step strategies to measure dark social, recover lost attribution signals, and accurately connect top-of-funnel content to pipeline revenue.
Word of mouth is one of B2B's most powerful growth channels, yet most attribution tools fail to capture referral-driven pipeline that travels through private messages, analyst conversations, and peer recommendations. This guide walks marketing and growth leaders through practical methods to track, measure, and prove the revenue impact of word of mouth in B2B.
First-party cookies marketing has become the essential foundation of accurate, privacy-respecting attribution as major browsers phase out third-party tracking. This article explains how first-party cookies work, why they matter for B2B SaaS marketers with long sales cycles, and how to use them to maintain confident, data-driven budget decisions.
Invisible marketing channels — from private Slack messages to podcast recommendations — drive real pipeline that attribution tools never capture, causing B2B SaaS teams to systematically underfund their best-performing sources. This article explains why the problem exists, how it compounds across budget cycles, and what modern attribution approaches can do to surface the traffic that analytics tools miss.
This guide explains how to pass UTM data to your CRM so every lead record carries accurate source attribution from first interaction to closed deal. For B2B SaaS teams running paid campaigns across Google, Meta, and LinkedIn, this step-by-step setup is the foundation of a reliable marketing attribution strategy.
Account engagement score tracking gives B2B SaaS marketing teams a revenue-focused alternative to individual lead metrics, revealing which accounts show genuine buying intent across the full customer journey. This guide covers how engagement scores are built from real signal data, how to track them accurately, and how to connect them directly to pipeline and closed revenue.
Webinar attribution tracking solves the attribution blind spot that prevents B2B SaaS marketing teams from proving the revenue impact of their webinar programs. This guide covers the frameworks, tools, and data connections needed to accurately measure how webinars influence pipeline and accelerate buying decisions across a multi-touch buyer journey.
Closed won attribution tracking connects paid ad data to CRM deal stages, giving B2B SaaS marketing teams a clear, accountable line of sight from first ad impression to signed contract. This article explains how it works, how to implement it, and how to use it to make smarter, revenue-backed budget decisions.
Outbound campaign tracking is the discipline B2B SaaS marketing teams need to connect email sequences, LinkedIn ads, cold calls, and retargeting to real pipeline outcomes. This guide explains how to unify data across your sales engagement platform, ad channels, and CRM so you can make confident budget decisions based on revenue impact — not just activity metrics.
Outbound pipeline tracking is the framework B2B SaaS go-to-market teams need to move beyond surface-level activity data and connect outbound channels directly to pipeline health and closed revenue. This article breaks down why tracking breaks down in practice, which metrics actually matter, and how building real attribution visibility changes the way revenue teams make budget and scaling decisions.
