ChatGPT Prompts for Digital Marketing

<context> You are a senior growth strategist for [BRAND], a [INDUSTRY] company selling [PRODUCT] to [AUDIENCE]. Current quarterly revenue: [REVENUE]. Primary goal next quarter: [GOAL]. Active channels: [CHANNEL]. Budget: [BUDGET]. </context> <task> 1. Summarize the strategic situation in 3 sentences (market, positioning, biggest constraint). 2. Define 3 measurable objectives for the quarter using the format: metric, baseline, target, deadline. 3. For each objective, recommend 2-3 channels and the role each plays (acquisition, activation, retention). 4. Propose a budget split across channels as a percentage table with rationale. 5. List the top 5 initiatives ranked by expected impact vs. effort, with a one-line hypothesis each. 6. Flag the 3 biggest risks and a mitigation for each. Ask me up to 4 clarifying questions before writing if anything material is missing. </task>

<context> Brand: [BRAND]. Product: [PRODUCT]. We currently target [AUDIENCE] but conversion is uneven. Closest competitors: [COMPETITORS]. Differentiator we believe in: [DIFFERENTIATOR]. </context> <task> 1. Draft a sharp ICP: firmographics or demographics, top 3 jobs-to-be-done, top 3 pains, and the trigger that makes them buy now. 2. Write a one-sentence positioning statement using the format: For [audience] who [need], [BRAND] is the [category] that [benefit], unlike [alternative]. 3. List 3 positioning angles we could test, each with the headline it implies. 4. Identify 2 audience segments we may be wasting spend on and why. 5. Recommend the single message we should lead with on [CHANNEL] and explain why it fits the buying stage there. </task>

<context> [BRAND] sells [PRODUCT] to [AUDIENCE] with a [PRICE] price point and a [SALES_CYCLE] sales cycle. We have [TEAM_SIZE] marketers and [BUDGET] monthly. Channels under consideration: [CHANNEL_LIST]. </context> <task> 1. Score each channel 1-5 on: audience fit, cost efficiency, speed to results, scalability, and team capability. Show as a table with a weighted total. 2. Recommend 2 primary channels to go deep on and 1 experimental channel to test small. 3. For each recommended channel, state the leading metric to watch in the first 30 days. 4. List the channels to deprioritize and the trigger that would make us revisit them. 5. Give a 30/60/90-day rollout sequence so we are not spreading the team too thin. </task>

<context> We are launching [OFFER] for [AUDIENCE] on [CHANNEL] with a goal of [GOAL] by [DATE]. Brand voice: [VOICE]. Things we must avoid: [CONSTRAINTS]. </context> <task> 1. Generate 5 distinct campaign concepts. For each: a name, the core insight about the audience, the big idea in one line, and the hook. 2. For the 2 strongest concepts, expand into: primary message, 3 supporting proof points, and the offer framing. 3. Suggest a content format for each strong concept matched to [CHANNEL]. 4. Recommend the single concept to lead with and the metric that would prove it worked. Keep every concept distinct in angle, not just wording. </task>

<context> Funnel for [BRAND]: traffic [TRAFFIC]/mo, signups [SIGNUPS]/mo, activated users [ACTIVATED], paid conversions [PAID]. Primary channel: [CHANNEL]. Audience: [AUDIENCE]. </context> <task> 1. Calculate the conversion rate at each stage and flag the weakest stage. 2. List 3 likely causes for the weakest stage, ordered by probability. 3. For each cause, propose one specific experiment with a hypothesis and the metric it would move. 4. Estimate the revenue impact of fixing the weakest stage to a realistic benchmark. 5. Recommend the one experiment to run first and why it has the best impact-to-effort ratio. State every benchmark you use and label it as an assumption. </task>

<context> [BRAND] wants to rank for topics around [TOPIC] to reach [AUDIENCE]. Our domain authority is roughly [AUTHORITY]. Money pages we want to support: [MONEY_PAGES]. </context> <task> 1. Build 4-6 keyword clusters around [TOPIC]. For each cluster: the pillar term, 6-8 supporting long-tail terms, and the dominant search intent (informational, commercial, transactional, navigational). 2. For each cluster, recommend one content format (guide, comparison, listicle, tool page) that matches the intent. 3. Map each cluster to the funnel stage it serves and which money page it should link to. 4. Prioritize clusters by a realistic mix of opportunity and difficulty given our authority. 5. Output the result as a table. </task>

<context> Target keyword: [KEYWORD]. Audience: [AUDIENCE]. Search intent: [INTENT]. We want to outrank [COMPETITOR_URL]. Brand angle: [ANGLE]. </context> <task> 1. Propose 3 title options, each under 60 characters, with the keyword placed naturally. 2. Write a meta description under 155 characters that earns the click. 3. Build a full H2/H3 outline that satisfies the intent and covers subtopics a comprehensive page must include. 4. For each H2, note the key point to make and any data, example, or visual to include. 5. List 5 questions to answer in an FAQ for featured-snippet capture. 6. Suggest 4 internal links and 3 external authoritative sources to cite. </task>

<context> Page URL: [URL]. Target keyword: [KEYWORD]. Current title: [CURRENT_TITLE]. Current meta: [CURRENT_META]. Audience: [AUDIENCE]. </context> <task> 1. Diagnose what is weak about the current title and meta (length, keyword placement, click appeal). 2. Write 5 new title tags under 60 characters, each using a different angle (benefit, curiosity, number, comparison, urgency). 3. Write 3 meta descriptions under 155 characters with a clear value prop and soft CTA. 4. Suggest the H1 and the first sentence so the page matches the title promise. 5. Recommend one schema type that fits this page and why. </task>

<context> Source asset: [ASSET_TYPE] titled [TITLE] for [AUDIENCE]. Core takeaways: [TAKEAWAYS]. Channels we publish on: [CHANNEL]. </context> <task> 1. Extract the 5 most valuable, standalone ideas from the source asset. 2. Turn the asset into a repurposing plan across [CHANNEL], one derivative per channel, matched to that channel's native format. 3. For each derivative, draft the hook or opening line. 4. Recommend the publishing sequence and spacing to avoid cannibalizing the original. 5. Note one CTA per derivative that ladders back to the source asset. </task>

<context> [BRAND] wants to own the topic of [TOPIC] for [AUDIENCE]. We already have these pages: [EXISTING_PAGES]. Business goal these articles support: [GOAL]. </context> <task> 1. Define the topical authority hub: the one pillar page and the subtopic spokes needed to cover [TOPIC] comprehensively. 2. List 12-15 article ideas organized as pillar and supporting clusters. 3. Identify gaps in our existing pages versus the map. 4. Recommend an internal linking structure (which spokes link to which pillar and to each other). 5. Sequence the first 5 articles to publish for fastest authority gain. </task>

<context> [BRAND] selling [PRODUCT] to [AUDIENCE]. Platform: [CHANNEL]. Monthly budget: [BUDGET]. Target CPA: [TARGET_CPA]. Primary conversion: [CONVERSION]. </context> <task> 1. Design a 3-stage campaign structure (prospecting, retargeting, retention) with the objective and audience for each. 2. Recommend a budget split across the 3 stages with rationale. 3. For each stage, suggest the offer or message angle that fits the awareness level. 4. Define the targeting approach per stage (interests, lookalikes, custom audiences, keywords). 5. Set the success metric and a kill-or-scale rule for each stage in the first 14 days. </task>

<context> Product: [PRODUCT]. Audience: [AUDIENCE]. Channel: [CHANNEL]. Core benefit: [BENEFIT]. Proof point: [PROOF]. Offer: [OFFER]. Voice: [VOICE]. </context> <task> 1. Write 8 ad copy variations, each using a different angle: pain, benefit, social proof, objection-handling, urgency, curiosity, contrarian, and direct offer. 2. For each variation provide a headline, primary text, and a CTA matched to [CHANNEL] character limits. 3. Label each variation with the awareness stage it targets. 4. Recommend the 3 to test first and the single variable each isolates. 5. Note one compliance risk to check before running (claims, sensitive categories). </task>

<context> Ad that drives the click: headline [AD_HEADLINE], promise [AD_PROMISE]. Audience: [AUDIENCE]. Landing page goal: [GOAL]. Current LP headline: [LP_HEADLINE]. </context> <task> 1. Score the message match between the ad promise and the current LP headline, and explain any gap. 2. Rewrite the LP hero (headline, subhead, CTA) so it continues the ad's promise without friction. 3. List the 4 proof elements the page must show above the fold for this audience. 4. Identify the top 3 objections this audience has at this stage and where to answer each on the page. 5. Recommend one element to remove because it distracts from [GOAL]. </task>

<context> [BRAND] sells [PRODUCT] to [AUDIENCE] on [CHANNEL]. Current targeting: [CURRENT_TARGETING]. CPA is too high at [CPA] versus target [TARGET_CPA]. </context> <task> 1. List 6 fresh audience hypotheses (interests, behaviors, lookalike seeds, keyword themes, or job titles) we have not tested. 2. For each, explain the buying signal it captures and which funnel stage it suits. 3. Recommend audience exclusions to cut wasted spend. 4. Suggest a structured test plan: which 3 audiences to launch, budget per test, and the minimum data needed to read a result. 5. Flag any audience that is likely too broad or too narrow and why. </task>

<context> Campaign on [CHANNEL]: spend [SPEND], impressions [IMPRESSIONS], CTR [CTR], CPC [CPC], conversions [CONVERSIONS], CPA [CPA]. Target CPA: [TARGET_CPA]. Audience: [AUDIENCE]. </context> <task> 1. Walk the metrics top to bottom and identify whether the problem is in reach, click, or conversion. 2. For the failing stage, list the 3 most likely causes ranked by probability. 3. Recommend one fix per cause with the metric it should move. 4. State whether to pause, optimize, or scale, and the threshold that would change that decision. 5. Calculate the CPA improvement needed to hit target and whether it is realistic at this spend. </task>