Rocketship charges you nothing to search its lead data, nothing to count how many people match your filter, and nothing to read 25 of those people by name with their titles and companies attached. A credit moves only when you decide to add someone to your list. That looks like a pricing giveaway, and it isn't one. It is an argument about when a founder should get to find out whether their targeting is any good.
The rest of the schedule is short. One credit per person added. Five credits for a verified phone number and email address, charged only if they are found, so a miss costs nothing. Launch is $24.99 a month and comes with 100 credits. Frontier is $79 with 250. Mission Control is $149 with 500.
Every tool that sells contact data picks a moment in that sequence where the meter starts. Most of the category picks a moment that arrives before the buyer has learned anything.
A market of 380 and a market of 38,000 are two different companies
Say you sell scheduling software to commercial HVAC contractors. Whether the honest count of contractors matching your profile across your target metros is 380 or 38,000 decides nearly every choice you make for the next year.
At 380 you can name every account. Calling them is rational. Writing something specific to each one is affordable, and burning the whole list with a generic blast is a real strategic risk, because there is no second list sitting behind it. At 38,000 the logic inverts. Subject-line tests start to mean something, segmentation is worth the effort, and you accept that most of the list will never hear a human voice.
The trouble is that founders build the sequence, buy the sending infrastructure and write the copy before they know which of those two worlds they are standing in. Paying money to discover that your plan was wrong is a miserable purchase. Not paying, and proceeding, feels better right up until the quarter ends.
When the count is free none of that applies. You can ask the question fifteen times on a Tuesday night, narrowing by geography, headcount and industry, watching the number move, and arrive at a segment you believe in with your balance untouched.
Twenty-five names is enough to catch a filter that lies
A count is a single number and it has no way of telling you which of its assumptions are broken. Twenty-five rows do.
Here is what a bad filter looks like once you can read it. You asked for operations leaders at contractors with 20 to 100 employees. Four of your first 25 are independent consultants with Operations in a LinkedIn headline. Two sit at a franchise headquarters in another state rather than the branch that would actually buy. One left the company two years ago and the record never caught up. Three are at companies that were 40 people when the data was collected and are 400 now.
None of that shows up in a five-digit total. All of it shows up in 25 rows you can read in ninety seconds.
Twenty-five is a deliberate size. Big enough that a systematic problem repeats itself where you can see it, small enough that it stays a sample instead of a free export. If four of the 25 are wrong, roughly a sixth of whatever you build on that filter is waste, and you do not need a statistician to tell you to go back and narrow it.
Before you open the preview, write down the sentence describing who you expect to see. Then read the rows against the sentence. When they don't match it, the filter is wrong, and it was wrong for free.
What the meter is actually charging you for
Lead data settled on credits as its unit of account years ago. Apollo, Lusha, Clay, Instantly and most of the rest meter you this way. Credits themselves are unremarkable. The question worth asking is what event makes one disappear.
One common arrangement charges on the attempt. You ask for a mobile number, the provider goes looking, and your balance drops whether or not a working number comes back. Another charges at export, meaning you pay at the instant the rows leave the tool and well before you have evidence the rows are worth having. Both arrangements park the cost of bad data on the buyer, and both are popular with the people who wrote them.
Rocketship deducts the five credits for a verified phone and email only when the phone and email are found. That one rule changes behavior. Enrichment stops being a gamble you ration across a list and becomes something you run on the accounts you actually care about.
Do the month's arithmetic before the month starts
Launch's 100 credits buy 100 people added to your pipeline with no contact enrichment. Or 50 people added with 10 of them fully enriched, which is 50 credits of adds plus 50 credits of enrichment. Or any mix in between.
Now set that against the free part. Before the first credit moves you already know whether the pool is 380 or 38,000, and you have read 25 names and confirmed the filter means what you assumed it meant. The budgeting stops being a guess. Against a 380-account market, 100 credits a month is a deliberate quarter-long campaign that covers the entire list and puts verified contact details on the best third of it. That is a plan somebody can write down and defend to a co-founder.
The reason nobody checks is that checking means going backward through three products
In the usual arrangement, market sizing happens in a spreadsheet, list building in one tool, enrichment in a second, sending in a third, and the founder carries CSVs between them. Verification is technically possible at every one of those handoffs. It is also three logins and twenty minutes away, which is why it doesn't happen.
In Rocketship the count, the 25 names, the add, the enrichment, the email that goes out, the reply that comes back and gets classified, the bounce suppression and the phone answered at nine at night are all one system. The checking step and the spending step sit two clicks apart. That proximity is the entire reason anybody performs the checking step.
Buying data you were not allowed to inspect is a habit the category taught founders because the habit suited the category. There is no reason to keep honoring it.