AI promises smarter lead scoring. But what happens when it fails to recognize the most obvious buying signals? Imagine a prospect visiting your website and requesting a sales callback. Your AI lead scoring system assigns them a low score. Why? Because your team recently redesigned the website, and the new contact form doesn’t have…
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Imagine asking an AI agent to identify your most promising leads for an upcoming campaign. It pulls information from Salesforce, checks engagement data in Marketo, identifies the right contacts, and prepares a list for your sales team. Everything looks perfect. Except the CRM has outdated job titles. Your marketing automation platform uses different lifecycle…
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For years, marketing operations teams have spent countless hours cleaning data, fixing lead records, and troubleshooting campaign workflows. What if AI could handle many of these problems automatically, before they affect campaign performance? That’s exactly where Adobe is taking Marketo Engage. In his October 15, 2026 article, Make your Smart Campaigns smarter with agentic workflows,…
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AI is everywhere in marketing today. From writing emails and building campaigns to analyzing data and automating tasks, almost every marketing team is experimenting with it. But here’s the uncomfortable question: Is AI actually making marketing better, or just making it faster? In his October 12, 2026 article, The State of AI in Marketing: Q4…
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Most marketing teams don’t have a shortage of data. The bigger challenge is what happens after that data enters the marketing stack. You may know which companies fit your ICP, who the right contacts are, and where buying signals are starting to appear. But unless that intelligence is clean, governed, connected to the right systems,…
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AI is taking on a bigger role in marketing decisions. But there is a problem: many organizations are giving AI more authority before fixing the data it relies on. In a recent MarTech article, Constantine von Hoffman, Senior Editor at MarTech, highlights findings from Validity’s State of CRM Data Report 2026. The gap is hard…
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Salesforce Winter ’27 points to a bigger shift than another round of product updates. AI agents are moving from helping people with individual tasks to running complete workflows. They can now qualify pipeline, build audiences, activate campaigns, support service teams, schedule appointments and work across multiple enterprise systems. For Marketing Operations teams, that changes the…
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Marketing Operations teams are often under pressure to improve something immediately. Reporting is unreliable. Leads are not flowing correctly. Campaign setup takes too long. Teams complain about the CRM. Someone believes another platform will solve everything. The natural reaction is to start fixing. At RightWave, we believe that is often where the problem begins. Before…
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Companies often approach Revenue Operations as if it were an implementation project. Hire a RevOps leader, clean up the CRM, define the stages, build dashboards, introduce forecasting and perhaps add some AI. In reality, the hard part usually starts after all of that. That came through clearly in a recent OpsCast from MarketingOps.com, hosted by…
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Marketing teams have spent years adding workflows, lists, properties, reports, forms, integrations and automations to their martech stacks. The problem is that very little ever gets removed. Over time, what started as a carefully designed marketing operations environment can turn into hundreds of workflows nobody wants to touch, duplicate reports measuring slightly different things, properties…
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