Two proposals are on the table. One keeps the stack you have, where subscriptions run to $900 a month. The other consolidates onto a platform quoted at $22,800 a year. On subscription price the answer looks obvious, and it is the wrong comparison, because subscriptions are one of five cost lines and often not the largest.
Every figure here is invented for illustration. None is a vendor's price, and the stacks are deliberately unnamed.
Five Lines, One Month
Put every cost into one of five lines and convert each to a monthly figure before comparing anything.
Subscriptions are fixed platform and seat fees. Annual contracts divide by twelve; note the commitment length separately, because a twelve-month lock-in is a risk even when the monthly number looks fine.
Data is anything metered: enrichment credits, contact reveals, verification. Normalize by expected consumption, and check whether unused credits expire, since expiry turns a variable cost into a fixed one.
Infrastructure is domains, mailboxes and their upkeep, including authentication. Google's sender guidelines set authentication requirements for mail sent to personal Gmail accounts; meeting them is recurring work and no guarantee of inbox placement.
Labor is the hours people spend operating the stack: building lists, reviewing output, fixing sync errors, reconciling replies, reporting. Multiply by one consistent loaded hourly rate.
Migration is one-time: export, cleanup, rebuild, training and any period of running both systems. Amortize it over the period you are confident you will keep the new stack, and state that period.
A Worked Comparison
Stack A is the existing assembly of separate tools. Its data credits are bought at $1,050 a quarter, and operating it takes 46 hours a month. Stack B is the consolidated platform. It includes some data, is expected to need 24 hours a month, and carries a one-time migration estimated at $3,600, amortized here over twelve months. Labor is costed at $50 an hour.
| Monthly Cost Line | Stack A | Stack B |
|---|---|---|
| Subscriptions | $900 | $1,900 |
| Data | $350 | $200 |
| Infrastructure | $150 | $150 |
| Labor | $2,300 | $1,200 |
| Migration, amortized | $0 | $300 |
| Total | $3,700 | $3,750 |
The $1,000 subscription gap has nearly vanished. Labor runs $1,100 in the other direction and data another $150, while migration adds $300 back. On monthly cost the two stacks are effectively tied, which is already more informative than the headline prices.
Dividing by the Right Outcome
Use qualified meetings that were held: the meeting took place, and it met a qualification definition written before the results came in. Booked meetings flatter a stack with a no-show problem, and unqualified meetings flatter one that sources loosely.
Say Stack A has averaged 10 qualified held meetings a month and Stack B is forecast to produce 12. Cost per qualified held meeting is $370 for A and $312.50 for B.
That $57.50 gap deserves suspicion. A's figure is observed but varies; if its normal range is 8 to 12 meetings, its cost runs from about $308 to $463. B's figure is a forecast; if the plausible range is 9 to 14, its cost runs from about $268 to $417. The ranges overlap heavily. A point estimate without its range is a guess dressed as a measurement.
Break-Even and the Assumptions That Carry It
Break-even questions are more useful. To match A's $370, Stack B needs $3,750 divided by $370, or just over 10.1 meetings a month. Eleven clears the bar and ten does not. The case for B therefore rests on whether it adds at least one qualified held meeting a month, and you should ask what mechanism would produce it.
The labor assumption carries more weight still. If B saves only 12 of the 22 hours promised and needs 34 a month, its total becomes $4,250. At 12 meetings that is about $354, still slightly ahead; at 10 it is $425, clearly behind. Amortize migration over six months, because you doubt the platform will last, and B's original total rises to $4,050. Under the twelve-month amortization schedule, it falls to $3,450 once that period ends. The decision changes with the horizon, so choose the horizon deliberately.
Where Double Counting Hides
Three errors recur. The first is counting a cost twice: data bundled into a platform fee and also entered on the data line, or an agency retainer that already includes operator labor beside a separate labor estimate. The second is counting a shared cost once: if both stacks need the same CRM, include it in both or neither. The third is counting savings that never reach the bank. If the operator is salaried and the 22 freed hours are not redirected, cash cost has not changed. The capacity saving is real if the hours are actually freed, but it becomes cash savings only if spending falls. Name how you will use the capacity separately.
Meetings get double counted too. A buyer who received an email and a LinkedIn message and then booked is one meeting, whichever channel's dashboard claims it.
Why Meetings Are Not Revenue
Cost per qualified held meeting measures how efficiently the stack produces conversations. It says nothing about what they are worth. Suppose 40% of A's meetings become opportunities and 30% of B's do, perhaps because B reaches further down the fit ranking to find its extra volume. A yields 4 opportunities at $925 each; B yields 3.6 at about $1,042. The ranking has reversed, and deal size, win rate and cycle length could reverse it again. So carry the comparison one stage further than feels necessary, and give that stage time to mature before judging a new stack.
This model is the wrong tool when cost is not the deciding factor. If the current stack cannot apply a suppression list reliably, or only one person understands it, the argument for change is about risk, and a tie on cost is no reason to stay. It is also heavier than a founder working alone needs. Track hours separately and, if useful, assign a stated opportunity-cost rate to your own time.