SaaStrophe Series: The Dirty Data by Georgi Furnadzhiev @ The Growth Syndicate

10/16/24 • 2 min

🚀 Key Takeaways:

The hidden risks of relying on flawed data for precision targeting
Why even the best campaigns are only as strong as the data behind them
How to spot and prevent dirty data from derailing your efforts

Tune in to this cautionary tale and learn how to avoid the data traps that can turn even the most promising campaigns into marketing horror stories.
As a seasoned growth marketer, I’ve built a reputation across Amsterdam and beyond, turning startups into profitable growth machines. But even the best campaigns can turn into nightmares—and one of my latest endeavors did just that.

In this episode, I share the chilling story of my benchmarking campaign gone wrong, where flawless visuals and copy were derailed by something I never saw coming: dirty data. What started as a promising campaign quickly spiraled into a costly disaster, with bogus leads, defunct companies, and inaccurate targeting lurking beneath the surface of the sales intelligence platform I trusted.

Listen as I unpack the hard lesson learned from a campaign that still haunts me: great execution can’t fix bad data.

🚀 Key Takeaways:

The hidden risks of relying on flawed data for precision targeting
Why even the best campaigns are only as strong as the data behind them
How to spot and prevent dirty data from derailing your efforts

Listen as I unpack the hard lesson learned from a campaign that still haunts me: great execution can’t fix bad data.

Previous Episode

The Beginner’s Guide to Understanding Behavior Analytics

If content is king, data is undoubtedly queen. Data analytics has transformed how businesses across the globe approach decision-making. Nowadays, no one lifts a finger before you show sufficient data to them.

Every organization strives to be data-driven, employing analytics everywhere – from websites to warehouses and production plants, crunching millions of numbers every day.

When it comes to user data, businesses collect information about what users do and where they do it. But it’s only been 10-15 years since organizations started paying attention to data that describes how and why users do what they do – the data about their behavior. And this data offers some unique insights.

Next Episode

SaaStrophe Series: The $40k Email Nightmare by Jacalyn Beales @ Copy.ai

🚀 Key Takeaways:

Why calculated risks in marketing sometimes pay off—but not without consequences
The importance of QA processes and segmentation (yes, even for risk-takers)
How to turn mistakes into learning opportunities that fuel growth

Tune in for a candid, behind-the-scenes look at how we fumbled, panicked, and ultimately came out on top—proving that even the pros aren’t immune to email nightmares.
What happens when two bold marketers decide to break all the email marketing rules—and end up with a $40k surprise? In this episode, I share the nerve-wracking (and slightly hilarious) story of how an overly ambitious email campaign led to a massive overcharge from our email service provider. With one million recipients targeted and segmentation thrown to the wind, we found ourselves scrambling to fix a mistake that could have cost us dearly.

But here’s the twist: the world didn’t end. Leadership was understanding, our email rep worked magic, and the campaign somehow exceeded expectations despite the chaos.

Cave Bits: Uncovering Website Analytics - SaaStrophe Series: The Dirty Data by Georgi Furnadzhiev @ The Growth Syndicate

Transcript

The Dirty Data, a story by Georgi Furnadzhiev
I’ve built a reputation for myself in Amsterdam and beyond—I, Georgi Furnadzhiev, am a seasoned growth marketer, known for turning startups into profitable growth machines. One of my latest endeavors promised to be my most impressive one so far—a clever benchmarking campaign targeting competitors’ clients.

I poured my heart, blood, and tears into the project, perfecting every detail of the copy and campaign visuals. I knew it was b