The digital products market in Brazil moves billions of reais a year, and still most digital creators make decisions based on the wrong metrics. Likes, followers and impressions may feed the ego, but they rarely pay the bills. In this article, we break down the metrics that really matter at each stage of a digital product sales funnel, and show how to use them to make decisions that drive results.
Vanity metrics vs. actionable metrics
Before diving into the numbers, you need to understand this distinction. Vanity metrics look impressive on paper but do not show real progress toward the sales goal. Actionable metrics, on the other hand, offer clear insights that lead to concrete decisions.
Examples of vanity metrics:
- Total number of social media followers
- Ad impressions
- Page views without context
- Total number of leads (without qualification)
Examples of actionable metrics:
- Cost per qualified lead
- Conversion rate per funnel stage
- Return on ad spend (ROAS)
- Customer Lifetime Value (LTV)
Having 100,000 Instagram followers means nothing if only 0.3% of them buy. Having 5,000 leads with a 4.5% conversion rate can mean 225 sales, and that, yes, pays the bills.
CPL: Cost per Lead
Cost per Lead (CPL) is the first critical metric of the funnel. It tells you how much you are paying to capture each contact interested in your product.
Formula: CPL = Media spend / Number of leads generated
Picture a digital photography course funnel with an initial CPL of R$ 12.80. After testing five creative variations, the CPL drops to R$ 7.20, a 43.7% drop. With the same R$ 15,000 budget, the funnel goes from 1,172 to 2,083 leads.
CPL by source
Do not look only at the overall CPL. Break it down by traffic source. Values can vary wildly; the ranges below are illustrative references:
- Facebook Ads: average CPL between R$ 5.00 and R$ 18.00 (depending on the niche)
- Google Ads (Search): average CPL between R$ 8.00 and R$ 25.00
- Organic traffic (SEO + content): effective CPL between R$ 1.50 and R$ 4.00
- Referral: CPL close to R$ 0 (but limited in volume)
Deciding where to invest more should consider not only the CPL, but the quality of the leads from each source, which brings us to the next metric.
CPA: Cost per Acquisition
CPA shows how much it actually costs to win a paying customer. It is the metric that connects spend to revenue.
Formula: CPA = Total spend / Number of sales
If you spent R$ 30,000 on a launch and made 150 sales, your CPA was R$ 200. If your product costs R$ 997, you had a healthy return. If it costs R$ 197, the math does not work.
Suppose a launch of a digital product on financial management for freelancers with an overall CPA of R$ 145. Breaking it down by source shows that the Facebook Ads CPA is R$ 210, while email marketing's is only R$ 38. In this example, the analysis would steer the relaunch strategy: more investment in growing an organic list and 35% less dependence on paid media.
ROAS: Return on Ad Spend
ROAS is the king of metrics for anyone who buys paid traffic. It shows how much revenue each real spent on advertising brings back.
Formula: ROAS = Revenue generated / Ad spend
A ROAS of 5x means that for every R$ 1 spent, you got R$ 5 in revenue. But be careful: revenue is not profit. Account for platform costs, taxes and operations.
ROAS benchmarks by launch type
The ranges below are an illustrative reference to calibrate expectations, not our own survey:
- Seed launch (first launch): a ROAS of 2x to 4x is considered good
- Internal launch (to your own list): ROAS of 5x to 12x
- External launch (with affiliates): ROAS of 3x to 7x
- Evergreen (always-on funnel): ROAS of 2x to 5x
Imagine an internal launch with an overall ROAS of 8.3x. Splitting by campaign, you find that a retargeting campaign for leads who watched more than 75% of the webinar had a ROAS of 23x, while top-of-funnel campaigns sat at 2.1x. Knowing that lets you redistribute the budget far more efficiently.
LTV: Lifetime Value
LTV estimates the total value a customer generates over the whole relationship with your business. Digital creators often ignore this metric, but it is essential for long-term decisions.
Simplified formula: LTV = Average order value x Purchase frequency x Retention time
If a customer buys an average of 2.3 products over 18 months, with an average order value of R$ 497, the LTV is R$ 1,143.10. That completely changes how you judge CPA: a CPA of R$ 300 that looked high for a R$ 497 product becomes extremely healthy with an LTV of R$ 1,143.
In a hypothetical example of a digital marketing product ecosystem, suppose the average LTV of customers who come in through the entry product (R$ 97) is R$ 1,870 over 24 months. That would justify a CPA of up to R$ 150 even for an entry product, something that would look like a loss without the LTV analysis.
Conversion rate per funnel stage
Tracking the overall conversion rate matters, but the real intelligence is in monitoring each transition of the funnel:
- Visitor to Lead: healthy rate between 25% and 45% (capture page)
- Lead to Engaged (consumed content): between 35% and 60%
- Engaged to Sales Page: between 40% and 70%
- Sales Page to Purchase: between 2% and 8%
Imagine a launch in the weight loss niche with these rates: 32% (visitor to lead), 41% (lead to engaged), 55% (engaged to sales page) and 3.2% (sales page to purchase). The bottleneck is the transition from lead to engaged. In this example, a WhatsApp sequence with content reminders could raise that rate to 58%, and, with the other stages unchanged, total sales would grow 41%.
Email open and click rates
Email is still the most powerful conversion channel in launches. The essential metrics are:
- Open rate: a healthy benchmark between 25% and 40% for launch lists
- Click-through rate (CTR): between 3% and 8%
- Click-to-open rate (CTOR): between 10% and 20%
Suppose a launch with an average open rate of 28%. With segmentation by engagement, sending different emails to those who open vs. those who do not, the open rate of the engaged segment could reach 52%, with that group converting 3.7x above the average.
Conclusion: measure what matters, ignore the rest
Too much data can be as harmful as too little. The key is picking the right metrics for each moment of the funnel and using them to make fast, well-grounded decisions.
Start with the basics: CPL, CPA and conversion rate per stage. As your operation matures, add ROAS, LTV and cohort analysis. What matters is that every number on your dashboard has a matching action; if it does not, it is probably a vanity metric.
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