ChatGPT Prompts for Marketing Strategy

<context> Brand: [BRAND] Product: [PRODUCT] Market: [MARKET] Current best customers: [3-5 EXAMPLE CUSTOMERS OR TRAITS] </context> <task> 1. Define the ICP across firmographic, demographic, and behavioral dimensions in a table. 2. List five qualifying signals that indicate a strong fit and five disqualifying signals that indicate a poor fit. 3. Estimate the relative size of this ICP versus the broader market (qualitatively) and note the risk of niching too narrowly. 4. Identify the trigger event that typically makes this ICP start looking for a solution. 5. Recommend two adjacent ICP segments worth testing next. </task>

<context> Brand: [BRAND] Product: [PRODUCT] Market: [MARKET] Persona role: [JOB TITLE / ROLE] </context> <task> 1. Build a persona profile covering goals, daily frustrations, success metrics they are measured on, and where they spend professional attention. 2. List their top three objections to a product like [PRODUCT] and the reframe for each. 3. Map their information diet: which channels, communities, and influencers they trust. 4. Write a one-line emotional summary of what this persona truly wants beneath the functional need. 5. Suggest the single message most likely to make this persona stop scrolling. </task>

<context> Brand: [BRAND] Product: [PRODUCT] Market: [MARKET] Primary persona: [PERSONA] </context> <task> 1. Identify the functional, emotional, and social jobs the persona is trying to get done. 2. For each job, write a JTBD statement in the format: When [situation], I want to [motivation], so I can [expected outcome]. 3. Rank the jobs by how poorly current alternatives serve them. 4. Map each high-opportunity job to a [PRODUCT] capability that addresses it. 5. Recommend which job should anchor the core marketing narrative and why. </task>

<context> Brand: [BRAND] Product: [PRODUCT] Market: [MARKET] Common bad-fit leads we attract: [DESCRIPTION] </context> <task> 1. Define two anti-personas: who should NOT buy [PRODUCT] and why. 2. List the surface signals that make these look like good prospects but turn out to churn or complain. 3. Suggest copy and qualification questions that gently filter them out before they enter the pipeline. 4. Estimate the cost of serving anti-personas (support load, churn, reviews). 5. Recommend where in the funnel to place the disqualification without harming top-of-funnel volume. </task>

<context> Brand: [BRAND] Product: [PRODUCT] Market: [MARKET] Deal type: [SELF-SERVE / SALES-LED] </context> <task> 1. Map the typical buying committee: economic buyer, champion, end user, and blockers. 2. For each role, state their primary concern, what convinces them, and what kills the deal. 3. Identify which role marketing should target first to create internal momentum. 4. Recommend one content asset per role that moves them forward. 5. Note the likely sequence in which these roles get involved. </task>

<context> Brand: [BRAND] Product: [PRODUCT] Market: [MARKET] Budget level: [BUDGET] Team size: [TEAM] </context> <task> 1. List eight plausible acquisition channels for [PRODUCT]. 2. Score each on a 1-5 scale for reach, cost efficiency, intent quality, and time-to-results in a table. 3. Weight the scores toward our stated budget and team constraints and produce a ranked shortlist of three. 4. For the top channel, outline the first 30-day experiment to validate it. 5. Flag any channel that looks attractive but is a poor fit for our ICP and explain why. </task>

<context> Brand: [BRAND] Product: [PRODUCT] Market: [MARKET] Channels in use: [CHANNEL 1], [CHANNEL 2], [CHANNEL 3] </context> <task> 1. For each channel, describe the audience mindset and the format that performs there. 2. Rewrite our core message to fit each channel's native style and length. 3. Identify any channel where the message and audience intent clash, and recommend a fix. 4. Suggest the single metric that best signals message-fit per channel. 5. Recommend one channel to double down on and one to pause. </task>

<context> Brand: [BRAND] Product: [PRODUCT] Market: [MARKET] Expertise we can credibly publish on: [TOPICS] </context> <task> 1. Define three content pillars tied to buyer search intent and our expertise. 2. For each pillar, list five article or asset ideas mapped to funnel stage (TOFU, MOFU, BOFU). 3. Recommend a publishing cadence realistic for our team size. 4. Identify the one BOFU asset most likely to drive conversions and why. 5. Suggest how to repurpose each pillar across at least two distribution channels. </task>

<context> Brand: [BRAND] Product: [PRODUCT] Market: [MARKET] Monthly paid budget: [BUDGET] Target CAC: [TARGET CAC] </context> <task> 1. Recommend a starting budget split across the most plausible paid channels for our ICP. 2. For each channel, state the expected role (demand capture vs demand generation) and a rough CAC expectation. 3. Define a testing structure: which variables to hold constant and which to vary. 4. Set the kill criteria and the scale criteria for each channel. 5. Outline how to reallocate budget after the first 30 days based on results. </task>

<context> Brand: [BRAND] Product: [PRODUCT] Market: [MARKET] Existing owned assets: [EMAIL LIST / COMMUNITY / FOLLOWING] </context> <task> 1. Recommend which owned channel (newsletter, community, etc.) to invest in given our assets and ICP. 2. Define the value exchange: why the audience subscribes and stays. 3. Outline a 90-day plan to grow the owned audience without paid spend. 4. Suggest how the owned audience feeds the rest of the funnel. 5. Define the leading metric of owned-audience health and a warning sign of decline. </task>

<context> Brand: [BRAND] Product: [PRODUCT] Market: [MARKET] Price point: [PRICE] Sales complexity: [LOW / MEDIUM / HIGH] </context> <task> 1. Compare three GTM motions for [PRODUCT]: product-led, sales-led, and community/marketing-led. 2. Score each against our price point, sales complexity, and ICP buying behavior in a table. 3. Recommend the primary motion and the secondary motion that supports it. 4. List the three capabilities we must build to run the chosen motion well. 5. Identify the biggest risk of the recommended motion and an early indicator it is failing. </task>

<context> Brand: [BRAND] Product: [PRODUCT] Market: [MARKET] What is launching: [FEATURE / PRODUCT] Launch date: [DATE] </context> <task> 1. Build a phased launch plan: pre-launch, launch week, and post-launch with goals for each phase. 2. For each phase, list the channels, assets, and owners needed. 3. Define the single primary success metric and two supporting metrics. 4. Identify dependencies and the riskiest item on the critical path. 5. Recommend one tactic to extend launch momentum beyond week one. </task>

<context> Brand: [BRAND] Product: [PRODUCT] Market: [MARKET] Candidate beachhead segments: [SEGMENT 1], [SEGMENT 2], [SEGMENT 3] </context> <task> 1. Evaluate each candidate beachhead on urgency of need, ease of reach, willingness to pay, and reference value. 2. Score and rank them in a table. 3. Recommend the single beachhead to win first and explain the wedge strategy into it. 4. Describe how winning this beachhead opens the adjacent market. 5. List the proof points we would need from the beachhead to expand credibly. </task>

<context> Brand: [BRAND] Product: [PRODUCT] Market: [MARKET] Current tiers: [TIER DETAILS] </context> <task> 1. Review whether the current packaging aligns with how the ICP perceives value. 2. Recommend a value metric that scales with customer success. 3. Suggest a tier structure (names, who each is for, the upgrade trigger between them). 4. Write the one-line story that justifies the jump to the highest tier. 5. Flag any tier likely to cause decision paralysis or cannibalization. </task>

<context> Brand: [BRAND] Product: [PRODUCT] Market: [MARKET] Primary GTM goal: [GOAL] </context> <task> 1. Build a 90-day GTM roadmap broken into three 30-day sprints, each with a single theme. 2. For each sprint, list the top three initiatives and the outcome that defines success. 3. Identify the dependencies between sprints. 4. Recommend what to deliberately NOT do in the first 90 days. 5. Define the one metric that proves the GTM is working by day 90. </task>

<context> Brand: [BRAND] Product: [PRODUCT] Market: [MARKET] Competitor: [COMPETITOR] </context> <task> 1. Summarize the competitor's positioning, target customer, and pricing model from the information provided. 2. List their three clearest strengths and three exploitable weaknesses. 3. Identify the message they own in the market and the gap they leave open. 4. Recommend how [PRODUCT] should position against them without copying. 5. Note where direct comparison helps us and where it legitimizes them. </task>

<context> Brand: [BRAND] Product: [PRODUCT] Market: [MARKET] Key competitor: [COMPETITOR] </context> <task> 1. Build a sales battlecard: where we win, where we lose, and the truthful framing for each. 2. List the three objections prospects raise that favor the competitor and the rebuttal for each. 3. Provide three trap-setting questions that expose the competitor's weaknesses. 4. Write the one-sentence why-us summary a rep can say on a call. 5. Note any claim we should avoid making because it is easy to disprove. </task>

<context> Brand: [BRAND] Product: [PRODUCT] Market: [MARKET] Main competitors: [COMPETITOR 1], [COMPETITOR 2], [COMPETITOR 3] </context> <task> 1. Map what each competitor emphasizes in their messaging. 2. Identify the customer needs that NO competitor is clearly addressing. 3. Assess whether each gap is unserved because it is hard, unprofitable, or simply overlooked. 4. Recommend the gap [PRODUCT] is best positioned to own. 5. Draft the positioning angle that claims this gap. </task>

<context> Brand: [BRAND] Product: [PRODUCT] Market: [MARKET] Win/loss notes: [PASTE NOTES OR THEMES] </context> <task> 1. Cluster the win/loss notes into recurring themes. 2. Separate reasons we control (messaging, product, price) from reasons we do not (timing, budget). 3. Rank the controllable loss reasons by frequency and impact. 4. Recommend one positioning or messaging change per top loss reason. 5. Identify the strongest recurring win reason we should amplify in marketing. </task>

<context> Brand: [BRAND] Product: [PRODUCT] Market: [MARKET] Competitor move: [LAUNCH / PRICE CUT / REPOSITIONING] </context> <task> 1. Assess how threatening the competitor move actually is to our ICP and revenue. 2. Recommend whether to respond directly, reframe, or ignore — with reasoning. 3. If responding, draft the core counter-message that stays on our strengths. 4. List the internal stakeholders to align and the customer-facing channels to update. 5. Define a timeframe and a signal that tells us the response worked or failed. </task>

<context> Brand: [BRAND] Product: [PRODUCT] Market: [MARKET] Company goal this quarter: [COMPANY GOAL] </context> <task> 1. Translate the company goal into one marketing objective and three measurable key results. 2. Ensure each key result is an outcome (pipeline, revenue, activation) rather than an activity (posts published). 3. For each key result, set a baseline placeholder and a target, and name the owner. 4. Identify the leading indicator that predicts each key result early. 5. Flag any key result marketing cannot influence alone and note the cross-team dependency. </task>

<context> Brand: [BRAND] Product: [PRODUCT] Market: [MARKET] Total marketing budget: [BUDGET] Primary goal: [GOAL] </context> <task> 1. Recommend a budget split across channels, content, tools, and experiments aligned to the primary goal. 2. Express each allocation as a percentage and a dollar placeholder. 3. Separate proven spend from experimental spend and recommend a ratio. 4. Identify the line item most likely to be over- or under-funded today. 5. Define the trigger that would justify shifting budget mid-quarter. </task>

<context> Brand: [BRAND] Product: [PRODUCT] Market: [MARKET] Known conversion rates: [ANY KNOWN RATES] </context> <task> 1. Map the full marketing funnel from awareness to revenue with the metric at each stage. 2. Using any known rates, model how many top-of-funnel inputs are needed to hit a [REVENUE TARGET]. 3. Identify the stage with the biggest leak and the likely cause. 4. Recommend the single metric to optimize first for the largest impact. 5. Build a simple weekly dashboard list of the five numbers to watch. </task>

<context> Brand: [BRAND] Product: [PRODUCT] Market: [MARKET] Known unit economics: [CAC / ARPU / CHURN IF KNOWN] </context> <task> 1. Calculate or estimate CAC, LTV, the LTV:CAC ratio, and payback period using the inputs provided. 2. Interpret what the ratios say about how aggressively we can spend on growth. 3. Identify the single lever (CAC, conversion, retention, price) with the highest impact on the model. 4. Recommend a healthy spend ceiling per channel given the payback period. 5. Flag any assumption that, if wrong, would break the model. </task>

<context> Brand: [BRAND] Product: [PRODUCT] Market: [MARKET] Last quarter results vs targets: [RESULTS] </context> <task> 1. Summarize what worked, what underperformed, and what was inconclusive last quarter. 2. Separate outcomes caused by execution from those caused by strategy. 3. Recommend what to double down on, what to cut, and what to test next quarter. 4. Update the marketing OKRs for the coming quarter based on the learnings. 5. Write a three-sentence executive summary leadership can read in 20 seconds. </task>