By the way, this is a fantastic problem to have, and I’m proud to cause it every single time š
In todayās post, Iāll tell you all about how I took $19K and profitably scaled it to $28K in revenue until we sold out of inventory and had to pause the ads. This is a success story that contains a cautionary tale.
Most of the moves I make to help scale an account have very little to do with the buttons I click in Ads Manager. While things like tracking implementation and creative testing take your ad account far, what takes you even further is your product, your offer, how well you communicate the value/benefit of your products (a.k.a your messaging) and your websiteās experience. These are generally the things Iāll have clientās optimize for first, weeks before we even launch an ad. Why? Because even though modern advertising platforms has given us time-efficient tools like AI and machine learning to make advertising less cumbersome to launch, itās primarily the foundational elements of great marketing that will supercharge the results you get from advertising campaigns.
In this clientās case we spent a large amount of time identifying her top performing creatives, updating her website, optimizing her conversion tracking, and designing high-value, impulse driven offers. In the meantime we launched some ads solely keeping an eye on engagement: Does this creative grasp peopleās attention as they mindlessly scroll their feeds? Do our ads agitate a pain-point? And once people get on the website, are they adding to cart and shopping immediately or hesitating at checkout?
When the decision came to scale, I kept an eye on metrics like CPC and CPA (to monitor efficiency), but regarded them to a smaller degree against metrics I felt truly gauged customer behavior. I married the hard metrics found within platform to the softer indicators of customer behavior to tell me if I was getting warmer, warmer and finally, hot.
Performance marketing is more science than art – data, or cold-hard-facts, is what drives decision making for performance marketers, period. However, at the end of the day, all data points are a representation of someoneās real life and their real problems. After all, itās a human being weāre aiming to serve
The hard facts from this experience is that I was able to get my clientās wonderful products into the hands of more people at a positive 1.5 ROI. But more importantly, my strategy successfully delivered the productās core promise, which empathizes with peopleās skin frustrations and offers a lasting solution to solve it.
I carefully increased spend when we reached our strideāthe perfect combination of metrics was my green light to keep adding fuel (money) to the fire. Meanwhile, my client, being a one-woman show, struggled to keep up with packaging, shipping, customer service, and product formulation. I decreased spend and ultimately paused the ads before the situation became unmanageable, but I learned a vital lesson: I must prepare clients both before and during ad scaling for the surge of buyers it can bring.
If you become a client of mine and suddenly your ads go on fire, sales are pouring in, and inventory is flying off the shelves, first offācongrats. But if we’re not careful, rapid scaling can turn from a dream scenario into a logistical nightmare. Stockouts, delayed fulfillment, and overwhelmed support teams can kill momentum just as fast as we built it.
This is exactly what I recommend my clients do when this scenario arises. The key here is to react quickly and keep things running smoothly:
Scaling fast is greatābut only if you can keep up. A smooth customer experience now means repeat business later. When your ads start winning, Iāll work with you to make sure your backend is ready to handle growth. š