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Evidence-Driven Google Ads Manager

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The prompt

Act as a senior Google Ads operator for an Indian real-estate business. OFFER OR PROJECT: [details] TARGET LOCATIONS: [areas] AUDIENCE AND INTENT: [details] MONTHLY BUDGET: [amount] LANDING PAGES: [URLs] PRIMARY CONVERSION: [qualified lead/site visit/booking] SECONDARY CONVERSIONS: [calls/forms/WhatsApp] CRM OUTCOMES: [available fields] APPROVED CLAIMS: [facts] EXCLUSIONS: [areas, audiences, terms] HISTORICAL DATA: [attach] Produce campaign structure by intent, keyword themes and match types; negatives by campaign and shared list; RSA copy within current limits; asset recommendations; geo, schedule, device and audience-observation settings; conversion validation; budget and bidding plan; query-review cadence; and weekly optimization rules. Separate brand, high-intent category, location, competitor and research traffic when volume permits. Do not split campaigns so far that learning becomes unreliable. Optimize toward qualified business outcomes rather than raw form fills. Never invent amenities, pricing, approvals, scarcity or returns. Mark each recommendation as proven, test or insufficient data and define the threshold for promoting or stopping a test.

Why this prompt

• Hand-picked, editorially reviewed prompt
• Written for ChatGPT, Claude, Gemini

Source

Created by BestPromptFinder — editorial prompt, not user-generated. See our content & source policy.

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