
Data-Driven Marketing: What It Is, Why It's Crucial Now, and How to Get Started
Discover how data-driven marketing boosts personalization, decision-making, and ROI with practical tips to get started. Read more.
In 2020, B2B digital marketing spend surpassed $8 billion and accounted for 11.3% of company budgets, on average. However, only 1 out of 5 B2B brands are successfully tracking the ROI of their paid media campaigns. Closed-loop attribution is the answer, as it provides a complete picture of a user’s interactions with every touchpoint in the customer journey.
Google Analytics is not enough to measure the success of PPC campaigns, as it only tracks visitors from initial website landing to lead conversion. By setting up closed-loop analytics, it will be easier to optimize campaigns to drive the most qualified traffic and improve the ROI of digital marketing budgets.
To set up closed-loop analytics, B2B companies must add a script to their website, customize the form to send Client ID to CRM, and use CRM integrations or plugins to export custom events. This will give companies a holistic view of which PPC campaigns are the most successful and help to refine their paid search campaigns.
Why B2B Companies Need Closed-Loop Analytics
Don't worry ... it's FREE!
Discover how data-driven marketing boosts personalization, decision-making, and ROI with practical tips to get started. Read more.
Measurement is evolving fast. See how lessons from mobile ad measurement are helping define signal-agnostic, media-neutral, and privacy-first measurement framework for today's evolving ecosystem. Read more.
Data clean rooms have revolutionized how organizations collaborate on data while preserving privacy. Learn how this technology works, enhancing data security and fostering privacy-compliant partnerships. Read more.
Inaccurate marketing data wastes budgets and weakens campaigns. Discover how data accuracy enhances targeting and performance. Read more.
Discover how B2B SaaS marketers can maximize ROAS by relying on usage to predict lifetime value (LTV) and avoid the cost-per-acquisition (CPA) trap. Read more.
What's preventing enterprise marketing teams from realizing the full potential of their data analytics? How sophisticated are marketers' current approaches?