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Why This Matters

Get instant answers about your business without leaving Wodify. The AI-powered chatbot built directly into Core gives you conversational access to the insights you need, when you need them.

Pre-requisite Pro-Tip

Certain prompts may require access to features like Lead management and Add-ons like Wodify Perform to provide an answer. 

Please note: we are offering Ask Wodify to a select beta group for free (with a limitation on usage). In the future, we plan to offer Ask Wodify as a paid add-on, with the option to purchase additional tokens for high usage

How to Use Wodify AI

• You can access Ask Wodify by navigating to Wodify AI - Ask AI
  • You can start a new Chat or access prior Chat history
  • Click Settings to provide updated Guidelines to the agent
  • Submit feedback from the page to improve prompts 

Prompts

A prompt is a question, instruction, or request that you can ask Wodify AI to get answers and data about your business. Below is a list of prompts that we suggest as examples but you can tailor them to your preferences or ask other prompts to Wodify AI.  

Suggested Prompts

Business Health

• Compare this month's revenue to last month across all streams, highlight what grew, what declined, flag anything unusual, and correlate changes to other business data.
• Review failed payments over the past 30 days — show revenue at risk, recovered vs. outstanding, and flag members with repeated failures.
• Rank all active membership plans by revenue contribution, number of members, and average revenue per member. Flag any plans that are underperforming or worth restructuring.
• Analyze my key business metrics and tell me where I should focus to grow revenue. Look at my retention rate, average revenue per member, lead conversion rate, and length of member engagement. Based on what you find, identify my biggest opportunity and explain why that should be my priority right now.
• Review my business’s performance across revenue, retention, leads, and programming and build a business case for whether I should consider affiliating with [HYROX / CrossFit / Other].
• What is my average member lifetime value? Break it down by membership type and acquisition source. Then calculate what one extra month of average retention is worth in annual revenue - show the math.
• Based on current member data, what's my projected revenue for next month if I hold churn flat? What if I reduced churn by 20%? Show me both scenarios so I can see the impact of retention on cash flow.
• Analyze each active membership plan. For each, calculate: total active members, total monthly revenue, average revenue per member, and churn rate. Rank plans from highest to lowest revenue per member. Highlight any plans that are underperforming — either low revenue per member, high churn, or both — and explain what makes them a concern.

Coaches

• Rank my coaches by average class attendance, highlight top and bottom performers, and flag any trends over the past 90 days.
• Analyze member retention by coach and flag any patterns showing which coaches are associated with higher or lower retention.
• Rank coaches by new member conversion rate across intro sessions and trial classes, and highlight what may be driving the differences.  

Leads (only available on certain subscription tiers)

• Which leads should I prioritize right now?
• Review my lead funnel from first contact to paid membership. Show where leads are dropping off, how long conversion is taking, and which sources are converting best.
• Review intro offer and trial membership conversions — show conversion rate, average member tenure, and lifetime value compared to members who joined through other channels.
• Which lead source (paid social, referral, organic, partnership, other) has the highest trial-to-member conversion rate? Which has the highest volume? Show me both so I can see where I should be putting more energy.

Clients

• Which members with recent attendances have expiring memberships? Who should I contact first?
• Review member activity over the past 30 days and identify members showing early signs of churn. Rank by risk level and note what changed. 
• Identify my top 10 most and bottom 10 least engaged active members and suggest any actions worth considering for each group.
• Show me cancellation data for the past 3 months. Break down membership tenure at the point of cancellation and class frequency in the 30 days before they cancelled. What does the typical profile of a client likely to churn look like?
• Which membership types have the highest early churn rate (cancelled within the first 60 days)? Rank them and flag any offering that is consistently losing people before they've had a chance to build a habit.
• List every member who joined in the past 30 days. For each, show: classes attended, membership type, and acquisition source. Flag anyone who has attended fewer than 2 classes since joining.
• Show me the average attendance pattern for members in their first 30 days, broken down by membership type. Is there a frequency threshold in the first two weeks that predicts whether they're still a member at 90 days?

Classes

• Analyze my class schedule and recommend 2–3 classes to cancel or adjust and 2–3 to add.
• Calculate average capacity utilization for each class — booked vs. available spots. Flag classes that are consistently overbooked or underutilized.
• Identify which class types are associated with increased visit frequency or membership upgrades, and flag any patterns worth acting on.
• Review waitlist data across all classes and identify which are most frequently oversubscribed — break down by class type, time slot, and coach. 
• Rank classes by late cancellation and no-show rate, break down by type, time slot, and coach, and estimate the capacity or revenue impact. 

Appointments

• Review appointment data over the past 90 days — show booking trends by type, day of the week, and time of day, and flag consistently underutilized slots.
• Review intro appointment conversions to paid memberships, show conversion rate by appointment type and service provider. Identify which types are the strongest membership pipeline.  
• Calculate no-show and late cancellation rates for appointments over the past 60 days. Break down by type, flag any contributing patterns, and estimate the revenue impact.  

Perform (Requires Perform Add-On)

• Review the next 2 weeks of scheduled workouts and summarize programming balance. Flag any biases, imbalances, or overtraining risks.
• Review historical workout, PRs, and attendance data to identify which programming themes and formats drive the highest attendance and retention, and recommend what to prioritize going forward.
• For each client in today's classes, generate a coaching summary including PRs, recent attendance, injuries or limitations, and other relevant data. Group it by class.
• Surface recent member milestones with priority on members in their first 90 days — flag both positive indicators like new PRs or attendance streaks and warning signs like no-shows or late cancellations. Include member name, milestone, and tenure.

Retail

• Analyze retail purchases by member segment, membership type, tenure, and attendance frequency. Highlight patterns that could inform targeted promotions or product recommendations.
• Based on my Retail performance, what products or product types should I stock more of, less of, or consider launching as a new offering?
• Which members have not purchased retail in the past 90 days but attend 3+ times per week? List the top 20 so I can think about how to activate them.

If you need any additional assistance with Ask Wodify AI, feel free to reach out to us at support@wodify.com or Live Chat from your account.