2 posts tagged with "Google Ads"

TL;DR​

Most PPC work is still agency-side — the 2025 State of PPC survey had 1,152 respondents and 72% of them run client campaigns; more than half said the job got harder in the last two years. Switching and admin eat the week (MarTech puts paid media managers at 5–9 hours of admin; Practiq models 7–10 hours lost to context-switching on a dozen small retainers). On MCPBundles you name the client in chat, confirm when two names collide, then ask for spend or search terms without opening the whole manager account tree first.

Picture Monday standup. Four brands need a quick read and you're still in the account picker for the second one while the first client's pacing question goes stale. Chat only works when the opening line sounds like your job — "How did Riverside Dental spend last week?" — not "Here are eighty accounts, pick one."

Most performance-marketing work in Google Ads is repetitive cognitive labour. Pull a search-term report, find the queries that wasted spend last week, write the negative-keyword list. Look at device performance, find that mobile CPC is up 40% with the same conversion rate, draft a bid adjustment. Spin up a campaign for next week's promo: budget, ad group, 15 keywords, an RSA with 11 headlines and 4 descriptions, all in PAUSED so nothing goes live by accident.

Each of those is a 20-minute task in the Google Ads UI and a 30-second task as a chat message — if your AI agent can actually call the Google Ads API. This guide is the use-case version of "AI + Google Ads": what you ask, what the agent does, what comes back. The protocol underneath is MCP (Model Context Protocol), the bundle is /skills/google-ads on MCPBundles, but the framing here is workflow-first.