Marketo Velocity Scripts: What They Are and When to Use Them
Marketo velocity scripts let one email adapt to each lead and custom object. Learn what they can and cannot do, how to test them, and where AI helps.
Tag: marketing strategy
The Campaign Is Live. Now What? An Eloqua Campaign Monitoring Framework
Eloqua campaign monitoring catches problems your launch QA can’t. Learn what to check in the first 24 hours, why reports disagree, and when to deactivate a live campaign.
What Is Oracle Eloqua? How B2B Marketing Teams Run It Well
Oracle Eloqua powers campaigns, segments, lead scoring, and CRM sync for B2B teams. Learn what the platform does in plain terms and the habits that keep your instance fast and trusted.
AI Use Policy for Marketing Teams: What to Put in Writing (With a Template)
An AI use policy for marketing turns vague company rules into clear steps for tools, human review, disclosure and records. Here is what to include, plus a one-page template.
Eloqua AI Asset Cleanup: Retire Unused Eloqua Assets Safely
An Eloqua AI asset cleanup lets AI sort your inventory and flag unused emails, landing pages, and forms, while a person checks dependencies and approves every archive or deletion.
AI Campaign Analysis: How to Find Out Why an Eloqua Campaign Underperformed
AI campaign analysis helps you find out why an Eloqua campaign underperformed: set a baseline, export the right reports, check five failure points, and verify ranked explanations before you fix anything.
AI Campaign QA: How to Check an Eloqua Campaign Before You Click Activate
AI campaign QA gives your Eloqua campaigns a second reviewer before you click Activate: what to give the AI, five checks it handles well, and the decisions people must still own.
AI Campaign Production: Where AI Belongs in Your Eloqua and Marketo Campaign Workflow
AI campaign production works best when AI drafts, checks, and flags at every stage of your Eloqua or Marketo build, while people keep the audience and activation decisions.
AI Didn’t Break Marketing Data Governance. It Ran Out the Clock on Ignoring It.
AI didn’t break marketing data governance; it exposed the debt. Here is how to build an AI data governance framework with real owners, entry-point controls, and tiered human review.
The Bots Are Filling Out Your Forms Now, and Your Lead Scoring Model Doesn’t Know It
Bot form submissions are quietly inflating MQL counts and lead scoring accuracy. Here’s how to detect them and fix your scoring model.
Scoring Intent, Not Just Interest: Predictive Content Affinity Scoring for Nurture Paths
Content affinity scoring tracks which topics a lead actually cares about, not just how often they engage, so nurture paths can be built around real interest instead of raw activity.
Why Your Lead Score Is Already Deceiving to You
Scoring model drift erodes lead score accuracy quietly, with no built-in alarm. Here’s why catching it takes a recurring human audit, not an AI feature, and how to build that discipline.