The Funnel Drop-Off Diagnosis Prompt Pack

You are a conversion analyst. I am going to give you my funnel numbers and I want you to identify every significant drop-off point, rank them by revenue impact, and tell me the single highest-impact fix to implement first.

Here are my funnel stages and the numbers for the last [TIME PERIOD, e.g. 30 days]:

- Traffic source: [SOURCE, e.g. Google Ads / organic / email]
- Visitors to landing page: [NUMBER]
- Landing page to opt-in or sign-up: [NUMBER] ([PERCENTAGE]%)
- Opt-in to first conversion action (e.g. book a call / start trial / purchase): [NUMBER] ([PERCENTAGE]%)
- First conversion action to paid customer or client: [NUMBER] ([PERCENTAGE]%)
- Average order value or deal size: [AMOUNT]

My business type is [TYPE, e.g. B2B service / SaaS / ecommerce / coaching].
My target customer is [DESCRIPTION, e.g. founders of 10-50 person businesses].

Please:
1. List every drop-off point where my numbers fall below typical benchmarks for my business type.
2. Rank them from highest to lowest revenue impact.
3. Give me one specific fix for the highest-impact drop-off, with the reasoning behind it.
4. Tell me what data I am missing that would sharpen this diagnosis.

Do not give me a generic conversion optimisation checklist. Work only from the numbers I have given you.

You are a conversion analyst specialising in [BUSINESS TYPE, e.g. B2B services / SaaS / ecommerce].

Here are my current conversion rates at each stage:

- Visitor to lead: [PERCENTAGE]%
- Lead to sales qualified: [PERCENTAGE]% (if applicable)
- Sales qualified to proposal or trial: [PERCENTAGE]%
- Proposal or trial to paying customer: [PERCENTAGE]%
- Monthly churn or cancellation rate: [PERCENTAGE]% (if applicable)

For each stage:
1. Tell me the typical benchmark range for my business type.
2. Flag whether my rate is significantly below, within, or above benchmark.
3. For the stages where I am below benchmark, rank them by how much closing the gap is worth in monthly revenue, using my average deal size of [AMOUNT].

Be specific. Do not pad the answer with general advice about conversion optimisation.

You are a funnel analyst. I want to find the non-obvious drop-off points in my customer journey that do not show up clearly in standard analytics.

Here is what I know about my funnel:

- My primary traffic source is [SOURCE].
- My highest-traffic page converts at [PERCENTAGE]%.
- My email list size is [NUMBER] and my average open rate is [PERCENTAGE]%.
- My click-to-sale rate from email is [PERCENTAGE]%.
- My sales page or proposal conversion rate is [PERCENTAGE]%.
- My onboarding completion rate (if relevant) is [PERCENTAGE]%.
- My biggest stated objection from prospects is [OBJECTION].

Based on these numbers, identify:
1. The three most likely hidden leak points in my funnel that I may not be measuring.
2. For each one, what I should measure and how.
3. Which of those hidden leaks is most likely costing me revenue right now, and why.

Give me a practical answer. I will implement this myself.

You are a landing page conversion specialist. I am going to describe my landing page and give you the conversion data, and I want you to diagnose why people are leaving without converting.

Page details:
- URL or page type: [e.g. lead magnet opt-in / webinar registration / free trial sign-up]
- Monthly visitors: [NUMBER]
- Conversion rate: [PERCENTAGE]%
- Primary traffic source: [SOURCE]
- Page headline: [PASTE YOUR HEADLINE]
- Main offer on the page: [DESCRIBE IN ONE SENTENCE]
- What the visitor has to do to convert: [e.g. enter email / book a call / start a free trial]

Additional data I have (delete any that do not apply):
- Average time on page: [TIME]
- Scroll depth: [PERCENTAGE]%
- Bounce rate: [PERCENTAGE]%
- Mobile vs desktop split: [PERCENTAGE]% mobile

Give me:
1. The most likely reason people are not converting, based on the data above.
2. The single highest-impact change to test first, with the specific copy, layout, or structural change you recommend.
3. How to measure whether the change worked.

Do not give me a list of 20 possible CRO improvements. Give me one prioritised recommendation and explain your reasoning.

I need to know whether my low opt-in rate is a traffic problem or a page problem.

Here is my situation:
- My opt-in page converts at [PERCENTAGE]%.
- My traffic sources are: [LIST, e.g. paid Meta ads / organic Google / email newsletter]
- My traffic source conversion rates (if I have them broken out) are:
  - [SOURCE 1]: [PERCENTAGE]%
  - [SOURCE 2]: [PERCENTAGE]%
  - [SOURCE 3]: [PERCENTAGE]%
- My offer is: [DESCRIBE]
- My primary visitor is: [DESCRIBE, e.g. small business owners looking for help with social media]

Based on this:
1. Is my issue more likely to be poor traffic quality (wrong audience) or a weak page (right audience, not converting)?
2. What is the diagnostic test I should run to confirm which problem I have?
3. If it is a traffic quality problem, what is the fix?
4. If it is a page problem, what is the fix?

Give me a clear diagnosis and a clear next action, not a list of possibilities.

You are a lead nurture specialist. I want to identify where leads are going cold in my follow-up sequence.

Here is my current lead nurture data:
- Number of leads per month: [NUMBER]
- Lead source: [SOURCE, e.g. content download / webinar / paid ad]
- Email sequence length: [NUMBER] emails over [NUMBER] days
- Average open rate across the sequence: [PERCENTAGE]%
- Average click rate across the sequence: [PERCENTAGE]%
- Number of leads who book a call or take a purchase action: [NUMBER] per month ([PERCENTAGE]% of leads)
- Typical time from lead to first purchase action: [NUMBER] days

If I have it, here is where email performance drops off in my sequence:
- Email 1 open rate: [PERCENTAGE]%
- Email 2 open rate: [PERCENTAGE]%
- Email 3 open rate: [PERCENTAGE]%
- [Continue as needed]

Diagnose:
1. Where in the sequence people are most likely dropping off.
2. Whether the drop-off is more likely a subject line problem, a content problem, or an offer problem.
3. The single change most likely to recover the most leads.
4. What the change should look and sound like, with a specific example.

You are a sales conversion analyst. I want to identify where my sales calls or consultations are breaking down.

Here is my data:
- Number of discovery calls or consultations per month: [NUMBER]
- Number of those that result in a proposal or quote: [NUMBER] ([PERCENTAGE]%)
- Number of proposals that convert to paid clients: [NUMBER] ([PERCENTAGE]%)
- Average deal value: [AMOUNT]
- Typical sales cycle from first call to close: [NUMBER] days
- Most common objection I hear: [OBJECTION]
- Second most common objection: [OBJECTION]

Additional context:
- My prospect typically arrives at the call having [DESCRIBE, e.g. read my case study / watched a webinar / been referred]
- After sending a proposal, I typically follow up [DESCRIBE, e.g. once by email after 3 days]

Diagnose:
1. Where in my sales process the biggest revenue loss is occurring.
2. Whether the issue is more likely qualification, the call structure, the proposal, the follow-up, or the offer itself.
3. The single highest-impact change to make, with specific guidance on how to implement it.
4. A follow-up sequence I should use after sending a proposal, if I do not already have one.

I need to understand why prospects are not converting after seeing my pricing or proposal.

Here is the context:
- My offer is: [DESCRIBE]
- My price point is: [AMOUNT OR RANGE]
- My proposal or pricing page close rate is: [PERCENTAGE]%
- The most common reason prospects give for not going ahead: [REASON, or 'I don't always know']
- My target customer is: [DESCRIBE]
- What my closest competitor charges: [AMOUNT, or 'I don't know']

Based on this:
1. List the three most likely real objections my prospect has at the proposal or pricing stage (not the reasons they say, but the real blockers).
2. For each objection, tell me the copy, positioning, or structural change that addresses it.
3. Tell me what I should add to my proposal or pricing page to close the gap, specifically.

Do not give me general sales advice. Give me specific changes based on my price point and offer type.

You are an ecommerce or SaaS conversion specialist. I want to diagnose why people are abandoning at checkout or at the final purchase step.

Here is my data:
- Product or plan type: [DESCRIBE]
- Price: [AMOUNT]
- Add-to-cart or checkout initiation rate: [PERCENTAGE]% of visitors
- Cart or checkout completion rate: [PERCENTAGE]% of those who initiated
- Abandonment rate: [PERCENTAGE]%
- Primary device of abandoning users: [mobile / desktop / split evenly]
- Do I send an abandonment email sequence? [yes / no]
- If yes, recovery rate from abandonment emails: [PERCENTAGE]%

Diagnose:
1. Whether my abandonment rate is above, within, or below typical range for my product type and price point.
2. The three most likely causes of my specific abandonment rate.
3. The single highest-impact fix, with specific implementation guidance.
4. If I do not have an abandonment email sequence, the first three emails I should send and when.

You are a SaaS conversion specialist. I want to diagnose where my free trial to paid conversion is leaking.

Here is my data:
- Free trial sign-ups per month: [NUMBER]
- Trial length: [NUMBER] days
- Activation rate (users who complete the core setup or first key action): [PERCENTAGE]%
- Trial to paid conversion rate: [PERCENTAGE]%
- Most common drop-off point in the trial (if I know it): [DESCRIBE, e.g. day 3 / after the first project / during onboarding]
- Most common reason users give for not upgrading: [REASON, or 'I don't know']
- Do I have an in-trial email sequence? [yes / no]
- If yes, does the sequence address the drop-off point above? [yes / no / not sure]

Diagnose:
1. Whether my activation rate and trial conversion rate are above, within, or below typical SaaS benchmarks.
2. The most likely reason for my specific conversion rate.
3. The single change most likely to move my trial to paid rate, with specific guidance on what it looks and sounds like.
4. If my in-trial sequence is missing a critical email, what that email should say.

You are a customer retention specialist. I want to understand why my customers are churning and where in the customer lifecycle the churn is concentrated.

Here is my data:
- Monthly churn rate: [PERCENTAGE]%
- Average customer lifetime: [NUMBER] months
- Average customer lifetime value: [AMOUNT]
- When most churn happens: [e.g. within first 30 days / around month 3 / after contract renewal]
- Most common reason customers give for leaving: [REASON, or 'I don't ask']
- Do I have an offboarding or win-back sequence? [yes / no]
- My onboarding process looks like: [DESCRIBE briefly, e.g. welcome email + one setup call / fully automated / no formal onboarding]

Diagnose:
1. Whether my churn rate is above, within, or below typical for my business type.
2. The most likely root cause of my churn, given the timing and stated reasons.
3. Whether the fix is an onboarding problem, an expectation-setting problem, or a product or service delivery problem.
4. The single highest-impact retention intervention, with specific guidance on what it is and when to deploy it.

You are a revenue expansion specialist. I want to find where I am leaving upsell and cross-sell revenue on the table.

Here is my situation:
- My primary offer is: [DESCRIBE]
- My current upsell or expansion offers are: [LIST, or 'none yet']
- Percentage of customers who buy a second product or upgrade: [PERCENTAGE]%, or 'I don't track this'
- Average time from first purchase to second purchase: [NUMBER] days, or 'I don't know'
- My customer's next most common problem after buying my core offer is: [DESCRIBE, or 'I don't know']
- Do I have a post-purchase email sequence that offers a next step? [yes / no]

Diagnose:
1. The most likely expansion revenue opportunity I am not capturing.
2. What the upsell or next-step offer should be, based on my core offer and customer profile.
3. When in the customer lifecycle to present it.
4. What the offer should say, with a specific example message or email subject line.

You are an email marketing analyst. I want to audit my email sequence and find where performance is breaking down.

Here is my sequence data:
- Sequence purpose: [e.g. welcome sequence / lead nurture / post-purchase onboarding]
- Number of emails: [NUMBER]
- Sending cadence: [e.g. daily / every 2 days / weekly]

Per-email performance (paste as many rows as you have):
- Email 1, subject line: [SUBJECT], open rate: [%], click rate: [%]
- Email 2, subject line: [SUBJECT], open rate: [%], click rate: [%]
- Email 3, subject line: [SUBJECT], open rate: [%], click rate: [%]
- [Continue]

End-of-sequence conversion action and rate: [ACTION, e.g. book a call], [PERCENTAGE]%

Diagnose:
1. Where in the sequence performance drops off most sharply.
2. Whether the drop-off is more likely a subject line issue, a content issue, or a frequency issue.
3. The single email that is most worth rewriting and why.
4. What the rewrite should change, with a specific example of an improved subject line and opening line for that email.

You are an email marketing analyst. I send regular broadcasts to my list and I want to understand why my click rates or conversion rates are lower than expected.

Here is my data:
- List size: [NUMBER]
- Average open rate: [PERCENTAGE]%
- Average click rate: [PERCENTAGE]%
- Average conversion rate from broadcast to purchase or action: [PERCENTAGE]%, or 'I don't track this'
- Broadcast frequency: [e.g. weekly / twice a week / monthly]
- Primary content type in broadcasts: [e.g. tips / promotions / case studies / personal stories]
- Typical call to action: [DESCRIBE]

Diagnose:
1. Whether my open and click rates are above, within, or below typical benchmarks for my list size and frequency.
2. The most likely reason my click rate is where it is.
3. The single change most likely to increase clicks from my next broadcast.
4. Whether my broadcast frequency is likely hurting or helping my deliverability and engagement, and what I should do about it if it is a problem.

You are a paid advertising analyst. I want to find out where my ad funnel is leaking between the ad and the conversion.

Here is my data:
- Ad platform: [e.g. Meta / Google / LinkedIn]
- Monthly ad spend: [AMOUNT]
- Ad click-through rate: [PERCENTAGE]%
- Cost per click: [AMOUNT]
- Landing page conversion rate: [PERCENTAGE]%
- Cost per lead or conversion: [AMOUNT]
- My target cost per lead or conversion: [AMOUNT]
- Ad type and format: [e.g. single image / video / carousel]
- Ad headline: [PASTE]
- Landing page headline: [PASTE]

Diagnose:
1. Whether my CTR, CPC, and landing page conversion rate are above, within, or below benchmarks for my platform and offer type.
2. Whether my primary problem is at the ad level (poor CTR) or the landing page level (low conversion).
3. The single highest-impact change to bring my cost per conversion down.
4. Whether there is a message match issue between my ad and my landing page, and if so, what to change.

You are a paid media analyst. I want to know whether my ad spend is being wasted and where.

Here is my data:
- Total monthly ad spend across all platforms: [AMOUNT]
- Platform breakdown: [e.g. Meta: [AMOUNT], Google: [AMOUNT]]
- Total leads or conversions generated: [NUMBER]
- Blended cost per lead or conversion: [AMOUNT]
- Average customer value from a paid lead: [AMOUNT]
- My current return on ad spend (ROAS) or cost per acquisition: [AMOUNT]
- Campaigns or ad sets I am running: [LIST briefly, e.g. retargeting campaign / cold audience / lookalike]

Diagnose:
1. Whether my blended cost per acquisition is sustainable given my average customer value.
2. Which campaign type or platform is most likely wasting budget.
3. The single reallocation or cut that would most improve my ROAS.
4. Whether I have enough data in each campaign to make optimisation decisions yet, and what I should do if I do not.

You are a growth strategist. I have diagnosed several drop-off points in my funnel and I need you to help me prioritise which to fix first based on revenue impact.

Here are the drop-off points I have identified:
1. [DESCRIBE DROP-OFF POINT 1, e.g. landing page converts at 12% instead of the 25% benchmark]
2. [DESCRIBE DROP-OFF POINT 2, e.g. only 20% of leads open email 3 onwards in my welcome sequence]
3. [DESCRIBE DROP-OFF POINT 3, e.g. 60% of free trials never complete the setup step]
4. [ADD MORE AS NEEDED]

My business context:
- Monthly traffic or leads: [NUMBER]
- Average customer value: [AMOUNT]
- Current monthly revenue: [AMOUNT]

For each drop-off point:
1. Estimate the additional monthly revenue I would recover if I closed the gap to benchmark.
2. Estimate the effort required to fix it (low / medium / high).
3. Rank the fixes from highest ROI (revenue recovered per unit of effort) to lowest.
4. Give me a one-sentence description of the first action I should take for the top-ranked fix.

You are a conversion specialist. I have identified that the biggest leak in my funnel is [DESCRIBE THE SPECIFIC DROP-OFF POINT AND THE NUMBERS, e.g. my sales page converts at 1.2% against a benchmark of 3-4% for my price point and offer type].

My offer is: [DESCRIBE]
My target customer is: [DESCRIBE]
My price point is: [AMOUNT]
The page or step where the drop-off happens: [DESCRIBE]

Write me a complete action brief for fixing this specific problem. The brief should include:
1. The most likely root cause, in one sentence.
2. The single change to make first and exactly what it looks like (copy, structure, or mechanics).
3. How to implement it without breaking anything else in the funnel.
4. How to measure whether it worked and what result I should see within [NUMBER] days.

Do not give me a list of possible improvements. Give me one specific fix, implemented completely.