*To respect our client’s confidentiality and trade secrets, we’re unfortunately not able to share the client’s brand name, creatives and ad copy.
The following case study is for a low-ticket digital product in the coaching/consulting space.
So aside from processing fees/refunds and our commission, the profit is simply revenue minus ad spend.
Before us, the account was only spending around $500/day at 1.8 ROAS, so I’ll explain what we did to scale it to over $200K/mo revenue at 2 ROAS.
The first step to scaling Facebook ads and growing your sales is to do some initial groundwork and goal setting. After crunching our client’s numbers and analysing previous attribution lift on the account, we came up with the following targets.
That means if we hit 1.73 ROAS across the account today, it’s very likely if we look back at the same day in a month, we’ll hit 2 ROAS account-wide. Facebook is the primary driver of sales, so we report off of a 28-day click 1-day attribution window.
Getting clear on our ROAS targets allowed us to scale faster as we reverse-engineered the numbers to know exactly when to step on the gas and spend, and when not to, rather than just waiting around to hit our account-wide ROAS before scaling.
In the spreadsheet screenshot provided below, I’ve shown how we work out our targets based on different campaigns and time frames. We just slot these numbers into our automated rules to ensure unprofitable ads never overspend and profitable ones are scaled to increase our overall profit.
Since we’re selling a digital product and it’s just one offer + upsells, we can use a single account ROAS target to base our decisions off. We have different ROAS targets set for different campaigns & timeframes, so we know when not to pause ads prematurely, but also know when we can scale hard and bank on sales coming in beyond day 1.
On the other hand, it’s important to know your day 1 ROAS. When working with smaller bootstrapped companies, we want to ensure we’re profitable on day 1 – for cash flow purposes but also to ensure we’re not wasting too much time and ad spend before knowing if a strategy is working or not.
Therefore it’s important not to have all your ads meet a single ROAS target, but have different targets based on different products, time frame, campaigns & budget splits.
Previously this account was just running prospecting ads. When we took over, we implemented a full-funnel account structure, meaning we also run ads to convert engagers and site visitors – whilst also adding in creative testing campaigns. This ensured we were able to maximise sales from all visitors at different stages of the customer journey.
4 months into running this account, we tested 131 individual creatives. That’s around 8 per week. They vary from:
Images with clear value propositions on them
Videos showing inside the course, and what customers will get
Reviews from customers, taking their feedback and using the screenshots of the review on the creative
Through our testing and scaling, despite testing lots of different creative concepts, we found that the best-performing were image creatives that were straightforward and clearly showed the value proposition and modules of the entire course.
Because we tested many creatives and found a bunch of winners, we could scale aggressively as soon as we were hitting our account-wide target ROAS. We were able to maintain our target ROAS up to $5800 per day of spend.
If you’d like to scale to $10K+/day in revenue, you need to ensure you implement a systematic and frequent creative testing process.
Our best audience was an LTV adjusted audience. It’s a bit of a hacky tactic, but it worked wonders. Essentially, we took the customer list from the client and blew out the LTV values.
So for our top 10% customers, we increased their LTV by a factor of 10. For the bottom 10%, we decreased it by a factor of 10.
For example, if a high-value customer spent $100 in their lifetime, we edited the list to show their value is $1K. If a low-value customer spent only $49, we marked their value at $4.9. We prefer to focus on marketing fundamentals as opposed to tactics, but we gave this a shot and it turned out to be our best audience on the account. The theory behind it is Facebook is going to prioritize delivering ads to audiences similar to your best customers who buy upsells/repeat buy.
Our second best audience was a broad audience (18-65+ MF, no lookalikes or interests). We just let the creative, angle and Facebook’s algorithm pick out people who are most likely to purchase.
Our client is very proactive at answering questions in detail on the ads and handling objections in the comments section of the ads, so we were able to convert customers who were on the fence/had a couple of specific queries that needed addressing.
We noticed a lot of previous happy customers started to leave positive reviews on the ads. So we relaxed the purchase exclusions from lifetime to customers in the last 60 days. That way, happy customers would continue to leave positive feedback to keep building more trust when new potential customers saw the ad.
Some of the best hooks, headlines and messaging on the creative were common quotes/objections that customers had before buying the coaching product. We have the creative showing the value of the product, but the copy to hook readers in, eliminate objections, paint a picture of what could happen to their business if they bought the product, and then anchor the low price to the value.