How MSPs can turn sales calls into better marketing

Your prospects are already telling you what your MSP should be writing about.

They tell you what worries them, what they don’t understand and why they’re unhappy with their current provider. They explain their concerns about switching, pricing and what they need to know before moving forward.

Then the sales call ends, the rep moves to the next meeting and most of that information ends up in a CRM note marketing never reads.

AI note takers give MSPs a way to use those conversations twice: once to sell and again to improve marketing.

Start with what prospects actually say

A lot of MSP marketing starts with somebody sitting down and asking, “What should we write about this month?”

I’d rather look at what prospects asked the sales team this month.

Maybe five different prospects asked what happens when they switch MSPs. Maybe several wanted to know whether they could keep their internal IT person. Maybe everyone worries about onboarding disruption, but your website has 40 cybersecurity articles and nothing that explains your onboarding process.

Now you have a content project grounded in facts instead of guesses.

Matt Tomlinson from Fixify made the connection between sales conversations and marketing pretty directly:

“How do I solve a problem? That’s what marketing and education in the space should be.”

He added that MSPs should discuss the problems they see in the market, how those problems are changing and what they’ve done to help.

Your sales calls are one of the best places to find those problems.

If you need help organizing the broader program around those topics, this free MSP marketing guide is a useful place to start.

Your AI note taker has already done the first part

If your MSP records and transcribes sales calls with the appropriate consent and policies in place, you already have the raw material.

Instead of asking an LLM, “What content should an MSP create?”, give it a batch of sales transcripts and ask more specific questions:

• What questions appear repeatedly?
• What objections come up more than once?
• What language do prospects use when describing problems with their current provider?
• What concerns appear when switching MSPs comes up?
• Which questions show up late in the sales process?
• Which topics generate the longest discussions?

Then require the AI to identify the source transcript for every finding.

You should be able to go back and read what the prospect actually said. If the model says five prospects were worried about onboarding, check the five calls.

The quality of the conversation matters, too. Weak discovery produces weak data. If your reps don’t encourage prospects to explain their challenges, marketing will have less useful information to analyze.

This MSP sales discovery masterclass covers how to get more useful information out of those conversations.

Turn repeated sales questions into marketing

Suppose your sales transcripts show that prospects repeatedly ask:

“What happens when we leave our current MSP?”

That question can become:

• A blog post explaining the transition process
• A website FAQ
• A checklist for changing IT providers
• A section on your service page explaining onboarding
• A follow-up email salespeople can send when the question comes up
• A short video answering the question
• A webinar about switching MSPs without disrupting the business

One recurring question can support a lot of useful material.

The wording matters, too.

If prospects say “changing IT companies” instead of “managed service provider migration,” pay attention. Your marketing may be using terms prospects never use.

Sales transcripts show how buyers describe their problems before marketing refines the language.

Look for patterns, not isolated comments

AI becomes especially useful when there are enough calls to compare.

Nobody on your marketing team wants to read 50 discovery-call transcripts just to find repeated questions. An LLM can sort transcripts, group similar questions and highlight the themes that appear most often.

That saves time, but don’t hand it three calls and declare that you’ve identified a market trend.

Count the occurrences.

One prospect asking an unusual question is interesting.

Ten prospects asking the same question deserves attention.

Compare these questions with your existing content. If sales hears the same objection every week and your website already addresses it, the problem may be distribution. If not, marketing has work to do.

Checklist: Turn AI sales notes into MSP marketing content

1. Collect the transcripts. Use calls your MSP is permitted to record, store and analyze.
2. Remove information marketing doesn’t need. Customer names, confidential information and identifying details usually aren’t necessary for this exercise.
3. Analyze calls in batches. Look for repeated questions, objections, concerns and language across multiple conversations.
4. Require evidence. Make the AI identify which transcript supports each finding.
5. Count repetition. Don’t let the model decide that something is important just because it sounds interesting.
6. Compare the findings with existing content. Find out which questions you already answer and which ones you don’t.
7. Have sales review the findings. Your reps will know quickly whether the patterns match what they hear every day.
8. Create the missing content. Build the article, FAQ, landing page section, email, video or sales asset that answers the question.
9. Give the material back to sales. A great article sitting unnoticed on the website won’t help the rep who gets that question tomorrow.
10. Repeat the exercise. Your prospects will keep giving you new material.

Your sales team doesn’t need AI to have the conversation. Your marketing team can use AI to ensure valuable information from hundreds of conversations doesn’t go to waste.

Build unique content for your MSP that ranks in search and AI engines. Schedule a call with Carrie Richardson.