Digital Marketing with AI

Create a five-section marketing research report for the RV industry, defining the market, sizing demand, and profiling buyers. Analyze competitors, pricing, and secondary sources using AI to save time.

Set up a ChatGPT account to access AI-powered tools for digital marketing tasks. Apply practical steps to integrate AI into your digital marketing workflow.

Craft five prompts to research the US recreational vehicle market with AI, detailing segments, price ranges, revenues and unit sales for 2023, leading brands, customer profiles, and reliable information sources.

Review AI-generated material, identify gaps, and supplement with trade associations and US government data. Edit to remove duplication and cover the five topics.

Explore how to use Midjourney for digital marketing with AI in practical, campaign-focused contexts today.

Explore how digital marketing drives sales by attracting and retaining customers in an online environment. Learn to track and optimize the digital marketing sales funnel using data from every interaction.

Discover the six steps of the digital marketing sales funnel, including awareness to seed brand perception, consideration to drive website interest, qualification to identify buyers, and conversion through time-limited offers.

Drive customer loyalty by implementing retention to reduce churn and encourage repeat purchases, while identifying advocates with social influence to share reviews and promote on social media.

Explain why the sales funnel narrows audiences to higher per capita value and show how awareness, consideration, and qualification advertising use search based and permission marketing to reach qualified prospects.

Direct targeted offers to qualified prospects at each funnel stage and optimize conversion with a clear message, while tracking 12 key metrics across six stages of the digital sales funnel.

Track awareness by counting home page visits from sources—paid ads, organic search, and owned social content—and compute cost per click and per arrival for paid channels.

Track bounce rate and click-through to assess home page messaging and design; measure qualified registrations by channel performance and dollar per registrant, then analyze demographics to refine targeting.

Track the conversion rate from top-of-funnel clicks to purchases to optimize channels and target demographics. Use AB testing to optimize ads and track CAC against profits.

Explore how retention rate and purchase price shape customer lifetime value for budgeting future revenue. Track Net Promoter Score and acquisition cost to reach a 20–25% lifetime value ratio.

Explore how a Durham live theater uses a year-long subscription and three price tiers to maximize capacity, while analyzing digital marketing data and metrics.

Learn how a processed sales data set uses a unique customer id to track tickets, revenues, and inferred gender for internal campaigns, and groups zip codes into four distance levels.

Acquire four fields from a list broker—car ownership, home ownership, income over $100k, and age—and categorize ages into four groups from college-age to empty nesters for targeted marketing.

Track pre-sales data from homepage origins, campaigns, and registrations; drive renewal-focused marketing through permissive emails, and gauge loyalty with renewals and Net Promoter scores.

Analyze historical sales data to identify best customers and desirable market segments by demographic traits, then translate insights into a targeted marketing plan that reaches these segments and drives revenue.

Calculate renewal rate and churn (46% and 54%), and estimate lifetime value with a simple two-year model; apply an if statement in Excel to project revenues.

Analyze demographic data to optimize lifetime value and target high-value segments with customized ads and personas that guide ad copy on social platforms.

Evaluate ltv sectors using a 10% rule, explore attractive demographics with targeted ads when past marketing is weak, and compare distance-based segments via zip code for ltv and share.

Explore how lifetime value varies by distance from the theater, showing zip codes 0 and 3 drive about 70% of lifetime value with distinct average values.

Analyze lifetime values across four age groups, with under-30s at 2399 and 55-plus at 1871, representing 42% of customers and 53% of lifetime value.

Analyze customer lifetime value by identifying high-value demographic groups, then compare the eight campaigns—paid and organic traffic—distinguishing paid search, social campaigns, and free or third-party traffic.

Analyze campaign efficiency by comparing lifetime value and CAC, using budget data for paid and organic campaigns to compute LTV to CAC ratios, aiming for 3:1 for brands.

Evaluate digital marketing performance using the lifetime value to cash ratio, compare top paid campaigns like Instagram and AdWords, and recognize organic traffic limits and audience saturation.

Allocate the $480k budget to maximize projected lifetime value, preserving $80k for organic channels with high LTV/CAC and splitting $400k between top paid campaigns to target a $7.6M LTV.

Analyze age and zip code demographics to identify high-value groups, then target Instagram and Google ads to older downtown residents and 20-somethings driving in, boosting lifetime value by about 32%.

Explore advanced concepts like churn modeling to predict customer retention and targeted incentives, and learn how to justify digital marketing budgets with profitability and free cash flow analyses.