A marketing professional, under pressure to deliver results for a new product launch, starts by using AI to create compelling social media posts and persuasive ad copy. To build a content pipeline, they generate a content calendar and blog post ideas. As the campaign launches, they use AI to analyze customer feedback, create customer personas for better targeting, and write a press release to announce the launch. To optimize their efforts, they create A/B testing plans and generate hashtag strategies to increase reach. They use AI to create surveys to gather customer insights and write product launch announcements. As the campaign matures, they use AI to generate competitive analysis reports, create lead nurturing email sequences, and suggest influencer collaborations. Finally, they use AI to create performance reports to demonstrate ROI, generate video script ideas for new content, and create a marketing budget allocation plan for the next quarter, transforming from a reactive marketer to a data-driven strategist.
Follow along with real scenarios and try the AI prompts yourself
A marketing professional is launching a new product and needs to create a buzz on social media.
To generate a variety of engaging social media posts for Instagram and Twitter to announce the new product.
AI generates several social media post options, including some with emojis and questions to boost engagement, which the professional can then schedule.
To support the product launch, the marketing professional wants to send a promotional email to their subscriber list.
To create a 3-part email sequence for the launch promotion, including an announcement, a reminder, and a last-chance email.
AI generates a full email campaign sequence, complete with persuasive subject lines, body copy, and calls-to-action for each email.
The marketing professional is setting up a Facebook ad campaign for the new product but needs effective ad copy.
To generate three distinct versions of Facebook ad copy, each targeting a different customer pain point.
AI creates three different ad copy variations, allowing the professional to quickly launch an A/B test to see which message resonates most with their audience.
To build a content pipeline beyond the launch, the professional needs a plan for their blog and social media.
To create a one-month content calendar with themes and post ideas for their blog and social media channels.
AI generates a content calendar with weekly themes, specific post ideas, and suggested formats (e.g., blog post, video, poll), providing a clear roadmap for content creation.
As the first customer reviews for the new product start coming in, the marketing professional wants to understand the initial reaction.
To quickly identify the main positive and negative themes from the initial wave of customer feedback.
AI analyzes the collected feedback and provides a summary of key themes, such as 'customers love the new feature A' but 'are confused about how to use feature B.'
Based on their content calendar, the professional needs to write a blog post related to their industry.
To get a list of blog post titles and a detailed outline for one of the titles to streamline the writing process.
AI generates five different blog post titles and creates a detailed outline for the chosen title, including an introduction, main points, and a conclusion.
The marketing professional wants to create more targeted campaigns instead of using a one-size-fits-all approach.
To create two distinct customer personas based on their existing data to help them tailor their marketing messages.
AI analyzes the provided customer data and generates two detailed customer personas, including names, goals, pain points, and preferred communication channels.
The new product has been featured in a major industry publication, and the professional wants to share the news.
To draft a well-formatted press release to send to media contacts and post on their company's newsroom.
AI generates a professional press release that includes a strong headline, a quote from the CEO, and details about the product and the publication.
The professional wants to improve the conversion rate of their main landing page but isn't sure which element to change.
To create a simple A/B testing plan to test a new headline on their product landing page.
AI generates an A/B testing plan that outlines the hypothesis, the variable to be tested (the headline), the success metric (conversion rate), and the required sample size.
The professional is posting great content on Instagram, but their posts are not reaching a wide audience.
To get a list of relevant and trending hashtags for their industry to use on their Instagram posts.
AI generates a list of 30 hashtags, including a mix of popular, niche, and branded hashtags, to help increase the reach of their posts.
Before developing the next product feature, the marketing team wants to gather feedback from existing customers.
To generate a list of clear and unbiased survey questions to understand customer needs and priorities for the next feature.
AI generates a 10-question survey with a mix of multiple-choice, rating scale, and open-ended questions designed to gather actionable customer insights.
The company is just a week away from launching a major new software update and needs to announce it to the public.
To draft a product launch announcement for their blog and to be sent to the media.
AI generates a compelling product launch announcement that highlights the key new features and their benefits, includes a customer testimonial, and provides a clear call-to-action.
A new competitor has entered the market, and the marketing professional needs to quickly understand their strategy.
To get a quick summary of the new competitor's marketing strategy, strengths, and weaknesses.
AI analyzes the competitor's online presence and generates a competitive analysis report that summarizes their key marketing messages, target audience, and pricing strategy.
The company has a list of leads who downloaded a whitepaper but have not yet made a purchase.
To create a 5-part email nurturing sequence that provides value and gently guides leads toward a purchase decision.
AI generates a lead nurturing sequence that includes emails with helpful tips, customer case studies, and a final promotional offer.
The marketing professional wants to partner with influencers to promote their product to a new audience.
To get a list of potential influencer partners in their niche who have a good engagement rate and align with their brand values.
AI generates a list of relevant micro-influencers, including links to their social media profiles and an analysis of their audience demographics.
The professional needs to present the results of their latest marketing campaign to the leadership team.
To create a summary of the campaign performance report, including key metrics, highlights, and recommendations for future campaigns.
AI takes the raw campaign data and generates a well-structured performance report, including charts and bullet points that clearly communicate the campaign's ROI.
The marketing team wants to create more video content for YouTube and TikTok but is running out of ideas.
To brainstorm a list of video ideas and create a short script for one of the ideas.
AI generates a list of video ideas, such as 'a day in the life of our product' or '5 common mistakes in our industry,' and writes a short, engaging script for one of them.
The company has received a lot of positive customer feedback, but it's in the form of long, rambling emails.
To extract the most impactful quotes from customer feedback and format them into compelling testimonials.
AI analyzes the customer feedback, pulls out the most powerful sentences, and formats them into a series of short, impactful testimonials.
The marketing professional wants to partner with other businesses that serve a similar audience but are not direct competitors.
To get a list of potential partner businesses and ideas for how they could collaborate.
AI generates a list of complementary businesses and suggests cross-promotion ideas, such as co-hosting a webinar or offering a bundled discount.
The marketing professional is planning their budget for the next quarter and needs to decide how to allocate their funds.
To get a data-driven recommendation for how to allocate their marketing budget across different channels.
Based on the campaign performance data provided, AI generates a budget allocation recommendation, suggesting they increase spend on channels with a high ROI and decrease spend on underperforming channels.