Marketing artificial intelligence (AI)
Before you buy another AI tool, ask these 5 questions
Buying AI is easy. Making it work across data, workflows, and teams is not. Here’s how to evaluate tools before you invest.
Identify traffic-stealing competitors
Find untapped opportunities
Create outperforming content
Marketing artificial intelligence (AI)
Buying AI is easy. Making it work across data, workflows, and teams is not. Here’s how to evaluate tools before you invest.
Tonya Walker | Apr 21, 2026 at 8:41 am ETMost ROI models ignore adoption gaps, integration work and renewal pricing — leaving teams exposed after the deal is signed.
Tonya Walker | Mar 23, 2026 at 9:33 am ETAttribution informs optimization, but it can’t absorb risk or set priorities. Here’s why marketers must define ownership to protect credibility.
Tonya Walker | Mar 2, 2026 at 8:38 am ETFrom firefighting to focus, elite MOps teams follow a predictable maturity path. Here’s what that looks like in practice.
Tonya Walker | Feb 3, 2026 at 8:58 am ETThe real risk in martech isn’t the platform. It’s how teams evaluate, approve and govern procurement decisions.
Tonya Walker | Jan 23, 2026 at 8:26 am ETMarketing artificial intelligence (AI)
Learn why stacks, data and governance gaps are driving AI agent underperformance and how MOps can fix it.
Tonya Walker | Nov 26, 2025 at 8:21 am ETMarketing artificial intelligence (AI)
Unvetted AI tools are driving costly breaches. Effective oversight is the safeguard marketing leaders can’t afford to ignore.
Tonya Walker | Oct 27, 2025 at 9:01 am ETMarketing artificial intelligence (AI)
Marketing AI is only as strong as the data it runs on. Move from chaos to optimized data maturity and deliver personalization at scale.
Tonya Walker | Sep 24, 2025 at 8:54 am ETMarketing artificial intelligence (AI)
Turn AI adoption into a strategic marketing advantage with streamlined workflows, connected systems, clear roles and measurable results.
Tonya Walker | Aug 18, 2025 at 8:55 am ET