How I Would Find the First 10 Paying Customers for a B2B Developer Tool

One of the most difficult challenges for an early-stage B2B software company is acquiring its first paying customers.

The product may be technically strong, the founder may understand the market, and early users may provide positive feedback. However, this doesn't necessarily translate into revenue.

I've worked with enterprise software vendors, SaaS companies, and startups for almost 20 years. From my experience, the main challenge is often not generating initial interest. It's identifying which acquisition channels can consistently bring customers who are willing to pay.

If I were launching a developer-focused SaaS product today, I would approach the first 10 customers as a commercial validation exercise rather than a traditional marketing campaign.

Here's what I would prioritise.

1. Define What Counts as a Paying Customer

Before investing in acquisition, I would establish what we're actually trying to achieve.

For a self-service developer tool, the definition may be straightforward: someone subscribes and pays for the product.

For enterprise software, the situation is more complicated. A company might request a demonstration, start a proof of concept (PoC), complete a technical evaluation, and only then purchase a licence.

I would separate three metrics:

• Signups: Users who create an account or register for a trial.
• Activated users: Users who complete a meaningful product action, such as connecting their first database or configuring a backup job.
• Paying customers: Individuals or companies that have completed an actual purchase.

All three metrics are useful, but they answer different questions.

A signup demonstrates interest. Activation indicates that someone has started using the product. Payment provides stronger evidence that the customer sees sufficient value to spend money.

For the first 10 customers, I would measure all three, but prioritise actual revenue.

2. Start with Search Demand That Indicates Buying Intent

My first step would be to analyse how potential customers search for solutions to the problem.

For example, imagine we're launching a monitoring tool for PostgreSQL databases.

Different search queries indicate different levels of commercial interest.

These classifications are starting assumptions. I would verify them by reviewing the actual search results and analysing conversion behaviour.

I would prioritise solution and comparison queries because the searcher is more likely to be evaluating a product.

For a new startup, this doesn't necessarily mean investing immediately in a large SEO programme.

I would start with a few focused landing pages and test whether the selected keywords attract relevant visitors.

Google Ads can also be useful here. A small paid search experiment may help validate demand before committing resources to months of content production.

However, search volume alone is not sufficient. A keyword may generate many impressions and clicks without producing paying customers.

The objective is to identify search demand that has commercial value.

3. Test Paid Acquisition Without Committing a Large Budget

I've managed paid acquisition campaigns for B2B technology companies across multiple markets. One lesson is that increasing advertising budgets before understanding lead quality can become expensive.

For a new developer tool, I would initially test only a few channels.

Google Ads

My first choice when there are relevant, high-intent keywords.

I would create tightly focused campaigns around specific problems, integrations, and alternative products.

The initial goal would be to understand the cost of attracting a relevant visitor and converting that visitor into an activated user or qualified opportunity.

LinkedIn Ads

More suitable when the product targets engineering managers, CTOs, or enterprise decision-makers.

For a technical product with a high potential contract value, I would consider targeting companies using specific technologies and offering a relevant technical whitepaper.

For example, a Proxmox backup product could be promoted through a technical resource explaining recovery architecture and migration considerations.

LinkedIn can be expensive, so I wouldn't prioritise it for a low-priced self-service tool without a clear commercial justification.

ChatGPT Ads

I would also evaluate ChatGPT Ads as an emerging acquisition channel where the format is available.

The potential advantage is reaching users while they're researching technical problems, comparing solutions, or evaluating implementation approaches.

However, I would treat this as an experimental channel. Early engagement or lead volume isn't enough to establish quality. I'd assess subsequent activation, sales qualification, and actual conversions.

For the first 10 customers, I wouldn't spread the budget across every available platform. I would select one or two channels based on the product's pricing and target audience.

4. Use Developer Communities to Validate Problems, Not Just Promote the Product

Developer communities can be useful for early-stage acquisition, but I wouldn't treat them as free advertising channels.

Platforms such as DEV itself, GitHub, relevant Reddit communities, and Stack Overflow are places where developers discuss technical problems and evaluate possible solutions.

The approach I recommend is to contribute useful technical information before expecting commercial results.

For example, if your product solves database performance problems, you could:

1. Identify recurring technical questions.
2. Publish a tutorial explaining the diagnostic process.
3. Include reproducible examples and practical recommendations.
4. Explain where your product might help, when relevant.
5. Measure whether visitors from that content activate or eventually purchase.

I would avoid publishing generic promotional posts across multiple communities.

This can damage credibility and may violate community rules.

The real value is understanding what developers are struggling with and using those observations to improve the product, positioning, and acquisition strategy.

5. Test a Small Paid Offer Before Building More Features

One interesting approach for early-stage startups is to validate demand through a limited fixed-price offer.

For example, instead of immediately selling a complete infrastructure monitoring platform, a founder might offer:

• A $99 database performance review.
• A $149 backup configuration assessment.
• A $299 technical implementation session.

These are illustrative prices, not market benchmarks.

The objective is to test whether customers are willing to pay for a specific outcome.

A small paid offer can also generate conversations about actual customer requirements, which is useful when the product is still developing.

However, I wouldn't use this approach universally.

For enterprise infrastructure software, customers may not be interested in a small standalone service. They may require security assessments, procurement approval, technical evaluations, and contractual discussions before making any purchase.

In that case, a paid pilot or a clearly defined proof of concept may be more appropriate.

The important principle is to validate willingness to pay rather than relying exclusively on positive feedback.

At the same time, a successful service offer doesn't automatically validate demand for a scalable SaaS product. I would investigate whether the customer values the underlying software or primarily the founder's personal expertise.

6. Use Targeted Outbound When You Can Identify Relevant Buying Signals

For B2B developer tools with larger potential deal values, I would also test targeted outbound.

I discussed this approach in my previous article about buying signals.

Rather than contacting hundreds of companies simply because they employ CTOs or engineering managers, I would identify accounts showing relevant technical or organisational changes.

Examples include:

• Companies migrating from VMware to Proxmox.
• Organisations hiring new infrastructure managers.
• Businesses expanding their Kubernetes environments.
• Companies introducing new security or compliance requirements.

In my experience with data protection software, technology-stack information and new technical appointments have been useful signals for identifying potential prospects.

Platforms such as Apollo can help with initial research, although enrichment data should always be verified.

For the first 10 customers, I would start with a small number of well-researched accounts rather than immediately investing in automated outreach at scale.

Direct conversations can also provide feedback about pricing, missing functionality, and procurement requirements.

That information may be just as valuable as the initial opportunities generated.

7. Compare Channels Based on Revenue Potential, Not Traffic

One mistake I've observed in B2B marketing is evaluating channels independently from sales outcomes.

Organic search might generate the most traffic. Paid advertising might produce more demo requests. Outbound might produce fewer conversations but higher-value opportunities.

To compare these channels, I would use a simple framework.

For self-service SaaS, I would connect acquisition data with product analytics to understand which channels generate activated and paying users.

For sales-assisted products, I would connect marketing data with CRM records.

Google Analytics 4, PostHog, and a CRM such as HubSpot can support different parts of this process.

At this stage, I wouldn't expect attribution to be perfect. However, I would make sure the company can at least identify where its first paying customers came from.

That is far more useful than reporting traffic growth without understanding its commercial contribution.

8. What I Would Do During the First 90 Days

If I had to develop an acquisition strategy for a new B2B developer tool, I would structure the first three months around validating a few channels.

I would also review acquisition results with whoever is responsible for sales, even if that's the founder.

A marketing campaign may generate apparently qualified leads that never progress because the product lacks an essential integration, the pricing doesn't fit, or the company is targeting the wrong audience.

These problems aren't always visible in advertising dashboards.

For an enterprise product, I wouldn't expect all 10 customers to close within 90 days. The sales cycle may be considerably longer.

The objective of the first three months is to identify repeatable signs of commercial demand and improve the acquisition process.

My Recommendation

For a developer-focused startup, I would avoid investing heavily in multiple marketing channels before understanding how customers discover, evaluate, and purchase the product.

Start with specific technical problems that your target audience is actively trying to solve.

Test one or two relevant acquisition channels, speak directly with potential customers, and measure the progression from initial interest to activation and payment.

Once you've acquired several customers, analyse what they have in common.

Which problem were they solving? How did they discover your product? Why did they choose it over alternatives? What convinced them to pay?

I would use those answers to prioritise the next marketing experiments.

The first 10 customers may come from different sources. The more important milestone is understanding why they purchased and whether the same acquisition process can generate the next 10.

Have questions about acquiring the first customers for a developer tool or B2B SaaS product? Leave them in the comments. I'm happy to share practical recommendations based on my experience with technology companies, including SEO, paid acquisition, lead generation, and sales pipeline development.

I'm a B2B digital marketing consultant based in Australia, with 19+ years of experience in technology marketing, SEO, paid acquisition, and lead generation. I work with software companies and startups on customer acquisition, marketing efficiency, and commercial growth.