Why We're Retiring the Free Interactive CAC Calculator Page (And Where That Content Is Going)
by Trivas.ai
|
5 min read
Oct 17, 2026
We killed a page this week. Not a dramatic kill, just a quiet one: the standalone free interactive CAC calculator at /resources/blog-insights/free-interactive-cac-calculator is getting a 301 redirect and folded into a page that actually gets used. Here's why, and where the content landed.
The page isn't working, and that's fine
Three months of data. Under 10 impressions. Zero clicks.
That's not a slow burn that needs more patience. That's a page nobody is finding, and the handful of people who do find it aren't clicking through. No search demand, no internal traffic, nothing.
Here's the thing people get wrong about underperforming pages: they assume a page with no traffic is at least neutral, just sitting there doing nothing. It's not neutral. Every thin, orphaned page on your site dilutes crawl budget and muddies the quality signal Google forms about your domain as a whole. A site with ten strong pages reads better to a crawler than a site with ten strong pages plus five limping ones nobody asked for.
So this isn't a failure post-mortem. It's routine content hygiene, the kind every site needs to do every quarter if it wants its best pages to actually rank.
What the page was trying to do
The original idea wasn't bad. We built a standalone interactive calculator for customer acquisition cost, aimed at DTC founders who wanted to do rough CAC math without opening a spreadsheet. Type in your total acquisition spend, type in new customers acquired, get your number back.
Total Acquisition Spend ÷ New Customers Acquired = CAC. That math isn't going anywhere, and it's still worth knowing cold.
The problem was never the formula. The problem was the frame. CAC on its own tells you almost nothing useful. A $40 CAC sounds great until you find out your average customer sticks around for one order and $45 in lifetime value. A $40 CAC sounds terrible until you realize your payback period is nine days and your ROAS on that channel is 6x. CAC only means something sitting next to LTV, ROAS, and payback period. Build it as a siloed tool and you've built a number with no context, which is exactly why nobody bothered coming back to it.
Where this content is going instead
We merged the CAC calculation logic, the formula explanation, and the surrounding context into the ROAS calculator page, as a companion metric rather than its own destination.
That's the right home for it. Anyone calculating ROAS is, almost by definition, already thinking about what it cost them to get the customer in the first place. Splitting those two numbers across two separate pages just forces people to do math in two tabs instead of one.
The technical side: /resources/blog-insights/free-interactive-cac-calculator now 301 redirects straight to /tools/roas-calculator. Anyone who bookmarked the old page, or any backlink pointing at it, lands somewhere that actually answers the underlying question, just with more context attached than the original page ever had.
Why consolidation beats a standalone page here
Two thin pages lose to one well-supported page, basically every time. That's true for users and it's true for search engines, which is a rare case where the right move for rankings and the right move for the reader are the exact same move.
Think about what happens when CAC gets presented without ROAS or LTV sitting next to it. Someone sees a low CAC, decides that channel or campaign is "working," and pours more budget into it, only to find out three months later that those customers never came back for a second order. Cheap acquisition that doesn't retain isn't cheap, it's just slow to show its real cost. A number in isolation invites that mistake. A number next to its context makes it much harder to make.
This is also just how we think CAC should be looked at inside a dashboard, not just on a marketing calculator page. Trivas dashboards show CAC alongside ROAS and GA4 funnel data by default, not as a standalone metric you have to go hunt down somewhere else. If a tool shows you CAC without also showing you what those customers were worth, it's handing you half the story and calling it analysis.
What happens to the old URL next
The mechanics are straightforward, but worth laying out so nothing falls through a crack:
Implement the 301 from the old URL to /tools/roas-calculator.
Strip the old page from the sitemap so it stops getting recrawled as a live entry.
Remove any internal links across the site that still point at the old page, including anything buried in older posts on the blog.
If the 301 ever turns out to be the wrong call for this particular URL (sometimes a redirect confuses a crawler more than it helps), the fallback is a noindex tag on the old page plus a manual canonical pointing to the merge target. Belt and suspenders.
This gets a second look in the next quarterly content audit, same process that flagged it in the first place. We'll check whether the impressions and clicks that should've gone to /resources/blog-insights/free-interactive-cac-calculator are actually showing up on the ROAS calculator page instead. If they're not, something in the redirect or the merged content needs fixing, and we'll say so.
Check your CAC the right way now
If you came here looking for a CAC number, go run it on the ROAS calculator instead. You'll get the same formula, but you'll also see it sitting next to the return-on-spend number it needs to actually mean something.
And if you're past the point of wanting to do this math by hand every week, that's a sign your spend and revenue data have outgrown a calculator page. Trivas dashboards track CAC against LTV and ROAS automatically, pulled straight from your ad accounts and store data, no manual spreadsheet updates required.
No pressure to go sign up for anything right now. If you're still comparing tools and figuring out what you actually need, our guides and reports are a better next stop than a sales page.
Content author and contributor at Trivas.ai, sharing insights on e-commerce analytics, business intelligence, and data-driven strategies to help businesses grow.
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