In this week’s episode of the Niche Pursuits podcast, Christopher Gimmer and I discuss building and scaling SaaS products, from the early rise of Snappa to the launch of GoodMetrics and the bigger question of how founders should market software in a world shaped by AI. It was a conversation packed with practical lessons on product development, pricing, acquisition timing, and what it now takes to earn attention online.
Christopher’s story spans multiple eras of online business, from a time when SEO opportunities were wide open to today’s far more competitive, AI-influenced landscape. What stood out most is how he has adapted at every stage, first by growing Snappa through content-driven marketing and now by rethinking product design and distribution for a future where AI agents may become as important as human users.
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Starting With Side Projects Before Finding SaaS Traction
Christopher’s background was in finance and accounting, and he spent about five years in corporate work before deciding he wanted more freedom and a different lifestyle. That shift led him into online business, SEO, and software.
Along the way, he teamed up with his now co-founder, Marc [Chouinard], and the two began launching side projects together before eventually finding meaningful traction with Snappa.
A key detail here is that Snappa was not their first success. Before that, they had built BootstrapBay, a marketplace connected to the Bootstrap framework. While it generated approximately $10,000 a month in revenue, Christopher said profits were closer to $3,000 a month after accounting for commissions.
- They spent roughly three years hacking on projects before Snappa became the breakthrough.
- BootstrapBay helped validate that they could build and sell online products, even if it were not enough on its own to fully replace their incomes.
- That earlier experience also exposed a real pain point that later became the seed for Snappa.
Turning a Simple Frustration Into Snappa
The original idea for Snappa came from a very practical need. Christopher had to create graphics for blog content and marketing, but he was not a designer and found Photoshop cumbersome for everyday use.
That gap sparked the idea for a design tool aimed at marketers and non-designers. Rather than competing on professional-grade complexity, Snappa would focus on making graphic creation easier and faster for people who just needed useful visuals for their businesses.
At the same time, Christopher got an unexpected boost from content. He wrote a post about where to find free stock photos, and it took off, eventually ranking on the first page of Google for “free stock photos”. This helped inspire a second project called StockSnap that later became a lead generation engine for Snappa.
- A viral blog post created early search momentum.
- StockSnap became an audience-building asset before Snappa launched.
- By launch time, they already had a landing page and a waitlist in place.
Launching Snappa and Immediately Rebuilding It
One of the most memorable parts of the interview was Christopher’s description of how hard Snappa was to build. He and Marc started in 2015, and at that time, browsers were simply not well-suited to support a design tool, so much of the product required hacks and workarounds to function.
Then came a painful twist. About one or two weeks after launch, they realized the way the product had been built would not scale. Marc had to spend about a month refactoring the entire codebase, essentially, while new customers were arriving and feature requests were piling up.
That first month could easily have broken a younger company. Instead, it became one of those classic startup moments where a difficult technical reset became the cost of building something that could survive long-term.
Reaching Early Revenue Milestones Fast
Even with those challenges, Snappa’s early traction was strong. Christopher said they reached about $2,000 in monthly recurring revenue within a month and roughly $10,000 MRR within six months.
That traction mattered personally as well as professionally. Christopher had taken a one-year sabbatical from his government job in Canada. By the time that leave ended, Snappa had enough momentum for him to decide he was not going back.
This is an important reminder that the visible success story usually sits on top of years of less visible effort. Snappa may have scaled relatively quickly after launch, but it was built on a long runway of experiments, failures, and learning.
Building the Snappa Marketing Flywheel
Christopher’s explanation of Snappa’s growth flywheel was one of the most useful parts of the conversation. After the initial audience from StockSnap started to level off, he knew they needed another distribution channel, and SEO became the answer.
He started by asking what people were really using Snappa for. That led him to social media image-sizing keywords like “Twitter header size”, “Facebook cover size”, and “LinkedIn banner size”, all of which had meaningful search volume and relatively low competition at the time.
From there, they built content and landing pages in layers. Informational posts targeted the sizing questions, adjacent landing pages targeted higher-intent terms like “Twitter header maker”, and template pages captured users searching for ready-made creative assets.
- Informational keywords generated traffic and backlinks.
- Commercial landing pages targeted “maker” searches with stronger purchase intent.
- Template-related pages completed the loop and helped convert users closer to action.
Christopher also made a subtle but important point about conversion. A keyword like “Twitter header size” may not convert directly at the same rate as a bottom-funnel page. Despite that, the content still mattered because it built link equity and internal linking strength that helped the rest of the site rank.
That broader perspective is what made the flywheel work. The top of the funnel was valuable not just because of direct signups but because it strengthened the whole domain and supported the money pages that converted more efficiently.
Growing to Seven Figures and Learning Hard Lessons About Timing
Snappa’s revenue curve followed an unusual pattern. Christopher described the first four years as a steady and almost boring rise, with growth moving up and to the right in a consistent way rather than through one explosive moment.
Then COVID hit, and Snappa saw its big acceleration. Christopher said they had reached about $1 million in ARR just before COVID and then grew from roughly $1 million to $1.5 million during that period before eventually plateauing.
That plateau later shaped how he thinks about selling a business. He said they had acquisition offers over the years. However, one of his biggest lessons is that growth drives valuation, and once growth stalls, valuation can drop sharply.
He was candid about wishing he had thought more aggressively about selling during the peak growth moment. That kind of honesty is valuable because it shows how much exit timing depends not only on profitability but also on the story your growth curve is telling buyers.
Finding a Pricing Ceiling in a Prosumer Market
Pricing is one of the hardest SaaS topics, and Christopher did not pretend otherwise. He explained that Snappa lived in a prosumer market. In that type of crowded category, the market often settles around a certain acceptable monthly price range.
- Snappa’s core price point centered around $15 per month.
- The broader market appeared to support about $10 to $19 monthly for similar tools.
- They did have a higher-priced team plan, but the bigger limitation was that the product did not have a strong value metric that naturally expanded as customers grew.
- Limited expansion revenue made it harder to grow average revenue per user over time.
That created a ceiling. Without a compelling usage-based lever or clear expansion mechanism, pricing becomes less about creativity and more about what the market will tolerate.
Why Christopher Started GoodMetrics
The second half of the interview shifted to GoodMetrics, Christopher’s newer project. The origin story was simple and relatable: he was frustrated with GA4 and missed the usability of Universal Analytics.
He said Universal Analytics was not perfect, but it was functional and intuitive enough for most people. In contrast, GA4 felt difficult, less straightforward, and far more dependent on custom setup, which pushed him toward building an alternative.
GoodMetrics grew out of that frustration, but it also reflects a larger market need. Christopher noticed that many privacy-friendly analytics tools were too stripped down. They often reset visitor information every 24 hours, making it hard to distinguish between new and returning users or preserve first-touch attribution.
- GoodMetrics is built as a cookieless analytics tool.
- It aims to preserve useful reporting without requiring cookie banners or complex consent setups.
- The product is designed to feel more like a modern version of Universal Analytics than a minimalist dashboard.
Building GoodMetrics for Both Humans and AI Agents
GoodMetrics forced Christopher to approach product development differently than he did with Snappa. Instead of focusing mainly on front-end usability, this build required much more attention to infrastructure, data handling, and long-term scalability.
That shift also shaped how he thinks about the product’s future, especially as more software interactions begin moving away from traditional dashboards and toward AI-driven workflows.
- During development, Christopher and his team changed both database providers and hosting infrastructure to make sure the product could scale properly.
- He viewed those early technical changes as a direct response to lessons learned from Snappa, where major scaling issues appeared right after launch.
- GoodMetrics went through an alpha and early-access phase before becoming publicly available.
- Christopher believes strong APIs will matter more going forward because products may need to serve AI agents as much as human users.
- He expects analytics workflows to increasingly involve prompts, automations, and agent-based interactions instead of manual reporting inside dashboards.
Rethinking SaaS Marketing in an AI-Driven Search World
Christopher’s view on marketing has evolved dramatically since the early Snappa days. He was direct about the fact that SEO and content are harder now, especially with more ads, stronger competition, and AI Overviews taking attention away from traditional organic results.
His answer is not to abandon content. Instead, he believes founders need to shift toward bottom-of-funnel content. This includes detailed use case pages, feature pages, comparison pages, and crystal-clear documentation that helps both users and LLMs understand what the product does and how it differs from competitors.
He also emphasized that passive strategies alone are no longer enough. Founders should pair SEO with active outreach, such as monitoring social platforms for people complaining about competitors and stepping into those conversations directly.
- Christopher monitors platforms like X for complaints about GA4 and similar tools.
- He sees active outreach as a way to start the snowball before word of mouth kicks in.
- He also called out communities, Reddit, LinkedIn, Facebook groups, and niche conversations as places founders should show up intentionally.
That advice feels especially relevant right now. As search changes, a founder’s willingness to be present in real conversations may matter just as much as their ability to publish content at scale.
Final Thoughts
This conversation was a great reminder that successful SaaS businesses are rarely built in a straight line. Christopher Gimmer’s journey includes side projects, viral content, early traction, painful rebuilds, plateaued growth, missed timing, and a fresh start with a new product shaped by a completely different market reality.
What makes his story compelling is that he isn’t relying on yesterday’s playbook. He is taking the lessons from Snappa, applying them to GoodMetrics, and thinking ahead to a future where software has to work not just for people but for AI agents too.
For founders, marketers, and builders, there’s a lot to take from this episode. While the old fundamentals still matter, the tactics are changing fast, and the people who adapt early may have the best chance to build something that lasts.
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