
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.
Most B2B e-commerce businesses rely on advertising to bring customers. To navigate advertising waters successfully, marketers should set up end-to-end attribution and track all sales, both online and offline. They might also need to change cookie lengths to 90 days, give credit to Marketing for all offline purchases, and focus on multifunnel purchases.
Common mistakes include not setting up end-to-end attribution, incorrect cookie lengths, double- or triple-dipping revenue, blaming poor sales on Marketing, and not giving Marketing credit for offline sales. Focusing on last-click attribution only hampers ROAS measurement and marketers risk under-investing or over-investing in different ways of advertising.
Technology gives e-commerce businesses the opportunity to measure ROAS and improve campaigns, but also increases the likelihood of costly mistakes. B2B marketers should read more resources to learn how to meet buyers' e-commerce expectations, improve the B2B e-commerce experience, and tackle B2B e-commerce without Amazon.
B2B E-Commerce: Six Common Return-on-Ad-Spend Measurement Mistakes
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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?