AI agents use Google Ads to query authorised campaign performance metrics, conversion segments, and ad group configurations for client reporting and anomaly investigations. In Pump Up, the agent extracts verified reporting numbers and flags cost or conversion discrepancies against historical baselines, while account leads retain approval over client deliverables and campaign changes. Google Ads serves as a read-oriented performance data source or supplied-report context rather than an autonomous bidding engine.
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Customer success
Send the report whose figures and explanations were approved.
Google Sheets, Airtable, Google Docs, Google Drive, Notion, Slack, OneDrive, Basecamp, LinkedIn Ads, Meta Ads, Google Ads
View templateMarketing
Investigate unusual results, request explanations, agree actions and confirm follow-through
HubSpot, Google Sheets, beehiiv, Kit, Slack, Google Drive, OneDrive, LinkedIn Ads, Meta Ads, Google Ads
View templateMarketing agency operators, performance marketers, and in-house growth leads managing client or company Google Ads accounts.
A client reporting run pulls Google Ads campaign performance for an e-commerce brand following a promotional launch. Spend increased 35% week-over-week while recorded conversion volume dropped 20%. The agent cross-references daily conversion lag and search query report segments, noting a steep drop in recorded conversions starting midday Thursday without a corresponding decline in product page clicks. The agent records a tracking tag malfunction as a plausible working hypothesis rather than a confirmed fact, recommends web tag verification alongside manual review of external payment logs, and drafts a reconciled variance report for the account director before client delivery.
Pump Up playbooks treat Google Ads as a read-first performance data context. While the Google Ads API supports mutate operations, playbooks enforce human review gates requiring an authorized account manager to approve any proposed budget shifts, bid strategy updates, or entity status changes.
Conversion data in Google Ads is subject to reporting lag and attribution model adjustments that vary significantly by conversion source, click-to-conversion window, and tracking configuration. Playbooks treat recent conversion counts as provisional, distinguish fixed click-date figures from conversion-date figures, and note unsettled attribution periods in performance reviews.
Agents can operate against a single Customer ID (CID) or query sub-accounts through an MCC login customer ID. Read-only permissions are recommended to inspect campaign, ad group, and search term reports safely. If API credentials are not configured, agents accept exported performance reports.