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ahmed@ppc:~$ ./atlas-labs --case-study
[ SaaS ]United States

Atlas Labs.

Cost per conversion cut from $108 to $61.54 in the first month.

$0.00
COST / CONV, MONTH ONE
$0
COST / CONV BEFORE
0%
REDUCTION IN ONE MONTH
0
MONTH TO GET THERE
[ WATCH THE BREAKDOWN ]

Me, walking the live dashboard.

[ THE SITUATION ]

Atlas Labs is a US SaaS company, an online arbitrage lead sourcing tool. Their search campaigns were stuck: a year of spend at an average cost per conversion around $108, with no luck bringing it down. Everything ran on broad match.

[ WHAT I DID ]
01

Rebuilt keywords on phrase and exact match

The account ran entirely on broad match, which bought volume but not buyers. I rebuilt the keyword strategy around phrase and exact match so the spend concentrated on searches with real intent.

02

Tightened the targeting

Alongside the match types I reworked the targeting settings, cutting the segments that produced clicks without signups.

03

Let the cost curve prove it

With the structure fixed, the cost per conversion fell from $108 to $61.54 inside the first month, with the next stop targeted at $50.

[ THE RESULT ]

In the first month the cost per conversion dropped from $108 to $61.54, a 43 percent cut. The client saw the difference inside 30 days, and the account is still scaling.

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