Run a cleaner marketing engine with less manual work.
Get the Marketing Ops briefIn 2026, AI is taking over much of the routine work in Marketing Ops, from deduplicating CRM records and normalizing lead data to drafting attribution reports and mapping multi-step campaign workflows. It now writes and debugs the SQL and formulas behind dashboards, and suggests lead routing and scoring rules based on past conversion patterns. The role is shifting from manual list cleanup and report building toward reviewing AI output and deciding which logic actually ships.
Paste these into Claude or ChatGPT and replace the bracketed parts with your own details.
Here is a list of [job title / company name] values from our CRM: [paste values]. Standardize them into consistent formats, group obvious duplicates, and flag any that look like test or junk entries.Build a lead scoring model for a [industry] B2B company. We value [behaviors and attributes that signal fit]. Suggest point values per attribute, thresholds for MQL, and explain the reasoning for each rule.This [Zapier / HubSpot] workflow is supposed to [intended outcome] but instead [what is happening]. Here are the steps: [paste steps]. Identify likely causes and suggest fixes in order of probability.Using this campaign data [paste data], write a summary of which channels drove the most [MQLs / pipeline] last [time period], note any month over month changes, and list two questions the data raises.Turn these rough notes on our [lead routing / form handling] process into clear step by step documentation a new team member could follow: [paste notes]. Include owners and any tools used at each step.One AI tool, one prompt, and one trick for Marketing Opss, every weekday morning. Free.