Case study

Image Charts

A brilliant and beloved tool with an impressive slate of customers (ahem, Spotify and Sulekha) needed direction on its positioning, messaging, and target audience so it could keep growing.

8.3K
monthly traffic, up 8.6% in one month
19.57%
bounce rate, down from 46.27%
+339
new ranking keywords

Charting a Path to Success for the Most-used Chart API in the World

Analyzing customer data and optimizing a website to provide clarity and direction for a much-beloved low code chart automation tool.

What was actually going on

The problem

Image Charts was built out of François-Guillaume Ribreau’s frustration with not being able to automatically create charts after Google Charts was deprecated.

Cold emails to frustrated former Google Charts users and some unexpected press got him his first clients - and some huge ones at that! Dropbox, Microsoft, and Slack could all be counted in the customer base, not to mention worldwide behemoths like Sulekha and Sony.

But that was 8 years ago. Now new customers had slowed to a trickle and while the majority of customers were sticking around some of the big names weren’t.

But François-Guillaume wasn’t sure exactly who his customer were at their core or how they were finding him outside of basic SEO. The only hard data he had was on what they were using the charts for.

Image Charts was fun and made money. But growing it (much less avoiding a slow death of attrition) was going to take time and effort, two things François-Guillaume, with a day job running a separate SaaS and a pregnant wife, did not have at his disposal.

Enter Sandman (okay, Sophia and the INM team).

What we did about it

The fix

Our process to understanding the customer and creating a marketing strategy was simple, clear, and straightforward.

1. Speak with customers to hear their entire journey - and what kept them using Image Charts. A lot of the customers were diehards creating hundreds of charts a month.

2. Speak with churning customers  to see what we’re their reasons for leaving. And if there was anything that could convince them to stay.

3. Look at all the data we did have to find out what made the product sticky (The “aha!” moment)

4. Make changes to the onboarding based on the interviews

5. Update the messaging and friction points on the website to increase conversions and show how easy the tool was to use above the fold

6. Based on the data analysis, customer interviews, competitive research and best practices create a marketing strategy tailored to the target audience that could be easily iterated on

What it got them

The results

Within 2 months of interviewing customers and diving into churn and customer data we’d:

- Landed on a clear and straightforward ICP to guide future marketing decisions

- Debunked an assumption of who his target market was

- Created a marketing strategy and execution plan to reach those customers and improve the website’s SEO


And within one month of marketing management and website updates we'd:

📈 Increased total website traffic by 8.6% to 8.3K in one month alone

🤩 Decreased bounce rate from 46.27% to 19.57%. For reference: average bounce rate is 41%-55%, while an excellent one is 26-40%

📈 Increased the amount of organic keywords the site ranked for by 339 new keywords, with 4/5 top keywords increasing or holding the same positions

Not to mention making François-Guillaume Ribreau absolutely overjoyed. It’s a good sign when the client’s favorite response to emails is “Fabulous!”

Zero Users→ 1,000 Active Users Target
Sustainable User Growth
Unclear Strategy → Self-Sustaining Revenue Model
Automated Funnel & $100k NZD Goal
Part-Time Builder→ Full-Time Founder Transition
Predictable SaaS Business
Francois-Guillaume Ribreau
CEO and Founder
Image Charts

Wow Sophia. Just Wow. This is great! Now I know who my customers are instead of guessing. And your report…it was AWESOME! Loved it!

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