Should You Buy or Build Customer Success Software? A Deep Dive Into The Costs and ROI

If you ask most Customer Success teams, they’re limping along, finagling their CRMs or a system of spreadsheets to manage accounts. Or spending thousands on custom-built software from the ground up.

But then came AI. 

Specifically, generative AI and the power to prompt your way to a robust enterprise software platform. Gone are the days of haggling over multi-year contracts and hours spent building stakeholder buy-in with various ROI charts. Say hello to the ability to build your own Customer Success Platform with little more than Claude Code and a fresh pot of coffee.

Is that really the case? 

This post walks through what the build side of that equation genuinely costs, what a purpose-built Customer Success platform actually gives you, and a set of questions that should drive the decision.

Why Some CS Teams Try to Build Their Own Customer Success Platforms

“Generally, the option to ‘build’ a CS solution either means building out your CRM to function as a CSP, or creating a custom dashboard in your CRM that leverages data from a central warehouse,” says Brandon Mendez, Mid-Market Account Executive at Vitally.

“Many technical teams believe that if they can unify customer data in-house and then pipe that data into a BI tool or some custom reporting, then they can replicate the value of a CS tool.”

This belief is often motivated by the desire to manage pre-sales and post-sales cycles in a single platform. There are two main reasons for this:

• Cost: Enterprise CRM applications like Salesforce cost as much as $500,000 per year. As a result, B2B organizations are under pressure to maximize their investment by managing as much of the sales/post-sale relationship as possible from a single tool.
  
• Features: CSPs and CRM software have overlapping features such as workflow automation and customer data management. This gives the wrong impression that a CRM tool can be scaled up to match the functionality of a CSP.

“A lot of sales teams don't see the need to create pre-sales and post-sales opportunity structures in different tools,” says Winson Liu, former RevOps Leader at Vitally. “They prefer to build this out inside their CRM tool and manage everything post-sales on top of that in the same platform.”

If you already have some process for managing your CS process with a CRM tool, convincing your finance team to invest in a separate off-the-shelf CSP can also be a challenge. They'll erroneously consider it an additional expense rather than a cost-saving measure.

“Customer Success teams are drowning in committed but inefficient budgets,” Liu explains. “Most CFOs are too focused on the dollars and what's currently in the budget versus optimizing the budget to get more value. You'll find that an off-the-shelf CSP can replace something you currently spend 10-20 times more on.”

What “Building” Actually Looks Like in Practice

In the “olden days” pre-AI, few teams (other than large enterprises) actually built their software from scratch. 

When a CS leader said they’re “building” their own tooling, they typically meant a CRM with custom fields for health data, a spreadsheet model someone built to track accounts, some automated alerts someone wired up in Zapier, and maybe a dashboard someone configured in a BI tool that nobody fully trusts. 

That worked – to a degree. But CSMs know that they can’t get very far with a CRM when what they really need is dedicated Customer Success software.

Then came ChatGPT, and Claude, and now anyone can ship a software platform in minutes. At least, that’s what the sales pages and AI development firms say. While you certainly can build your own software platform with AI, you also need to worry about new concerns like:

• Maintenance for the platform
• Security
• Role-based access
• Scalability
• Hosting (and the costs as usage and the data you hold increase)

In short, it’s a lot more complicated than simply prompting your way to custom software. To be sure, Claude is insanely powerful and can help CSMs automate tasks such as QBR prep, churn management, and sentiment analysis. 

But running an isolated task with Claude Code or Cowork is quite different from building, designing, maintaining, and modifying an enterprise-level software platform.

The Drawbacks of Developing Your Own CSP

Developing a CSP within your existing CRM platform might seem sensible if your business model and Customer Success structure are highly unique. But it creates significant business challenges, like:  

1. The high cost of ownership
2. Team inefficiencies and bottlenecks
3. Lack of scale as needs change
4. Lack of data-driven alerts

Building CS Software Carries a High Cost of Ownership 

Maintaining a homegrown CSP is expensive — very expensive. Beyond initial costs for your CRM developers’ time, you'll have to hire operations specialists to build and maintain workflows in the CSP.

“I know from past experience in CS Ops roles that it's such an insane pain to hire people and retrofit Salesforce to be the CSP,” Liu says. “Essentially, you’re building a development team to make a CSP internally. Once your company starts to scale, you’ll need to hire dedicated RevOps people to manage your in-house CSP. For organizations with 1,000 or more employees, this will add at least $600,000 to your annual talent overhead costs. Between 1,000-2,000 people, it’s closer to $1 Million.” 

In other words, if you purchase an off-the-shelf CSP for $50,000 a year, you’ll instantly save hundreds of thousands of dollars per year. CFOs can invest that money in other aspects of the business, such as product development and marketing, to grow revenue. 

The bottom line is, any financial decision-maker in your organization that thinks you’ll save money by having your CRM developers “whip up a CSP real quick” is woefully misinformed.

“Companies that retrofit their CRM as a CSP are trying to re-invent the wheel in a costly, time-consuming, and ineffective manner,” Liu says.

Building Software Leads to Team Inefficiencies and Bottlenecks

Because of a homegrown CSP's complex infrastructure, the Customer Success team is usually unable to implement task automations and workflows themselves. They have to wait for the Operations team to build these things out, which affects their efficiency at work. 

“Let's say workflows and automations are needed for a CS process,” Liu says. “With an internally built CSP, the CS organization would need to submit a request to the CS Ops or RevOps team, who would then scope out the requirements and prioritize it against their backlog. Then, when it’s finally done, it might need to be tweaked, or each CSM may want their own customization, which is impossible.”

An off-the-shelf CSP solves this problem by making workflows and automations simple enough to set up by CS leaders or admins.

“Buying a reliable CSP removes the bottleneck of needing CS Ops to do everything and prevents the inefficiency of CSMs doing manual work in the meantime,” Liu says.

‍See how Vitally helps CSMs streamline their day-to-day tasks. 

Outdated Software That Doesn’t Scale With Your Business

When you buy a dedicated CSP like Vitally, your cost of ownership includes ongoing product development — our software team ships regular updates and improvements to the platform. 

With a homegrown CSP, any notable improvements to the system require even more development hours and resources that you probably didn't budget for. The alternative is being stuck with an obsolete CSP that's high maintenance and prone to broken data integrations.  

You also have to keep in mind that a homegrown CSP is built to match your business’s team size, customer base, and amount of historical data at the time it was developed. But businesses change fast. Your CS team might double in a year. Or your business can go from hundreds to thousands of customers in a couple of months. 

Ideally, these are good problems to have. But things can get complicated if you use a homegrown CSP that’s built into your CRM. As you add new data layers, it will reach a breaking point, and you’ll need to build a new data infrastructure from scratch or spend time migrating data and reorganizing your Customer Success process.

These costly disruptions are never an issue with off-the-shelf CSP tools, which have scalable data infrastructures that you can rely on no matter how quickly your business grows.

A Lack of Data-Driven Alerts and Calls-to-Action

One of the most important benefits of CSP software is the ability for CSMs to be automatically alerted when a customer becomes a churn risk or requires other critical attention. This simply isn’t possible with a Customer Success tool developed within a CRM.

“With in-house solutions, CSMs still have to proactively monitor these dashboards,” Mendez says. “There isn’t any automated push from the report to the CSM, which prompts that person to act. Off-the-shelf CSP tools actually prescribe actions to your team automatically, which help you drive very specific engagements and outcomes.”

“Proactive alerting based on a dynamic target — as opposed to a static target — is so valuable in Customer Success,” Liu adds. “For example, a CSM might want to be alerted if a customer’s usage or time in the product drops below the 30-day average, or some other threshold that isn’t a set numeric value. Then, the CSM could reach out to the customer to touch base.

“Without that ability, you have two options. One, you’d have to actively monitor the report in the CRM or a BI tool, which means CSMs will often react too late or customers will slip through the cracks; that’s especially true if your CSMs manage a high volume of customers. Or two, an alert in a BI tool would be set with a static number, which isn’t that helpful because target metrics will change or be different for each individual customer.”

The Math Behind Building vs Buying a Customer Success Platform

You didn’t think we’d just leave you with some high-level generalities, did you?

There’s a real ROI conversation worth having here, so we developed a calculator to help you decide whether building or buying is more cost-effective for your company.

Let’s start with a few broad assumptions:

• 15 CSMs
• 100 customers per CSM
• 20% account growth year over year

There are three ways to go about building a CSP:

• Chat with an LLM: No fancy software needed, just have your CSMs chat with an LLM for help generating summaries or running reports.
• Schedule workflows: An LLM can handle daily workflows and schedule automations on a daily or weekly basis. With agents that can pull records from your CRM and customer tooling, this is a major step above simply asking ChatGPT for help.
• Full agentic with automation: For the most serious and AI-driven CS teams, this is where you lean on LLMs to fully automate workflows, pull data from 6+ sources, and develop health scores at scale.

Beyond these three options, there’s a divide between:

1. Agents and workflows to run processes on a set schedule while you interface with the LLM.
2. Building your own fully-featured Customer Success Platform, complete with workspaces, playbooks, reporting dashboards, and all the bells and whistles you can imagine.

While you can prompt your way to some perfectly serviceable tools and workflows, advanced tooling will require the help of a developer, so let’s run the cost calculation with a few assumptions:

• A developer’s hourly rate is $150/hour
• Building agents and workflows will take 30 days, and building and managing a full platform will require three full-time developers over 12 months
• And 20% of the total build cost will be budgeted for maintenance and improvements each following year.
• You’re going to build with Sonnet, and the monthly API spend per CSM will be $75/month

Alright, what is this going to cost?

If you go the agentic/workflow route, you’re looking at $77,000 to build in your first year, and $258,000 over the first three years. If you build an entire Customer Success Platform, it’ll be an eye-watering $1,100,000 in your first year to build and $1,600,000 over three years to maintain. 

Meanwhile, you could save up to 55% of the cost and go live in just 4-6 weeks with a dedicated CS platform. If you’re having trouble getting buy-in to invest in Customer Success software, then numbers like these can be enough to convince even the most skeptical executives.

Try out the “Build vs Buy Calculator” here to see what the results are for your company.

Rather Than Build CS Software, Why Not Buy a Leading CSP?

Rather than building your own software, why not leverage a leading Customer Success Platform that can be ready to deploy within weeks, not months? Plenty of today’s CSPs weave AI into their feature sets, giving you access to the latest capabilities without having to monitor your monthly credit bill.

While the choice you make will depend on your needs, budget, and team size, we find that innovative Customer Success teams choose Vitally for the following reasons:

• You can collaborate with customers in real-time
• A powerful AI-Copilot
• Automate tasks at scale
• Bring all your data together to make better decisions

Collaborate With Customers in Real-Time

Vitally creates shared workspaces between your CSMs and their clients so they can have a more collaborative relationship. Instead of sending important updates via email or Slack, where they might get buried under heaps of messages, CSMs can communicate with customers in a central location on the platform where important context doesn’t get lost.

CSMs can also share updates and work on documents with customers. Say a customer is trying to renew their contract or collaborate with you on a quarterly business review; you can create action items in Vitally and work with the customer to complete each task, instead of messaging back and forth. 

Real-time conversations let CSMs resolve customer issues quickly. This also eliminates communication bottlenecks that can slow down renewals and upsell opportunities. 

A Purpose-Built and Powerful AI-Copilot

Unlike other platforms that offer a ChatGPT wrapper, Vitally provides a purpose-built AI platform for scaled Customer Success. Whether you want deeper insights into your customers, risk signals that would otherwise go unnoticed, or growth opportunities, Vitally AI can keep you one step ahead of every account.

First, Vitally takes in all of your customer data, like:

• Notes
• Meeting transcripts (and AI recordings)
• Tickets
• Docs
• Conversations
• NPS and survey data

And turns those into structured insights for deeper analysis. Here’s a taste of what CS teams can do with Vitally:

• Create custom prompts to surface risks and opportunities
• Auto-generate follow-up emails, tasks, or notes
• Capture every call and customer interaction

Because Vitally AI lives inside your CS platform, it understands the full picture. From your customer’s health and history, product usage data, and business goals, Vitally AI ensures every insight is grounded in context that generic AI tools simply don't have. 

Automate Tasks at Scale

No more spending time on tedious tasks that don’t move the needle. With Vitally, you can automate customer management tasks and free up time for what matters: delivering stellar customer experiences.

You can create tables and Kanban boards in Vitally for seamless project management. You can also use templated Docs to create and share documents with customers and other project stakeholders. 

Bring All Your Data Together to Make Smarter Decisions

Vitally empowers your team to find important data trends and act on them: 

• Indicators show preemptive churn signals so you can resolve issues with clients early. ‍
• Vitally’s REST API lets you track which parts of your product customers use frequently. 
• Data-powered dashboards let you track customer health and other important metrics — like revenue and product data — in real time. ‍
• Custom surveys and NPS responses to collect customer feedback. ‍
• Product usage data to spot trends, warn of churn signals, and find upsell opportunities.

Take Ikas, for example, which used Vitally to create a single source of truth for all its customer data and significantly cut down customer management costs. According to Ikas’ CEO, Mustafa Namoğlu: 

“Our biggest problem was tracking customers, seeing if they're actively using our product, and if they are properly onboarded. We’ve reduced our churn rate because we can easily see early signs of possible churn, and we have the chance to prevent it.” 

Need Numbers That Will Impress Your CFO? Try Out Our Build vs Buy Calculator

Perhaps by now, you’re sold on buying a CSP rather than building your own.

You’re going to need budget and approval, which means getting buy-in from finance. They’re going to want firm numbers, not simple projections with lots of handwaving. 

We’ve got you covered. We created a calculator that lets you enter your team size, revenue growth, and specific needs, so you can see exactly what it would cost to build a Customer Success Platform and how that cost compares to buying a leading one like Vitally.

Click the button below to try the calculator and settle the debate for your company.