1) Translate everything into dollars
Nobody buys
“AI automation for ops”
“I do X for Y”
They buy outcomes.
Example
“You’re leaking ~$80k per month because X causes Y.”
Your job is translation.
Problem → consequence → money.
If the problem exists, what is it costing them in:
revenue
time
headcount
risk
People love numbers.
On marksheets. On dashboards. On offers.
2) Be hyper-specific
“Founders at B2B SaaS with 100–500 employees” is still vague.
Strong offers sound narrow:
who it’s for
what exact pain it removes
how much value it adds
When someone reads it, the reaction should be:
“This was clearly built for me.”
If it feels generic, it is.
3) Increase perceived value without changing scope
Value isn’t just the core deliverable.
It’s everything around it:
Slack or WhatsApp access
weekly strategy calls
shared dashboards
audit docs
SOPs they keep forever
extra assets that compound results
Yes, slightly more work.
Also higher intent. Higher price.
People pay more when they feel looked after.
4) Kill risk
Most buying hesitation comes from risk:
money
time
effort
data
Guarantees flip risk back to you.
Example
“I’ll deliver X within Y days or you pay $0.”
You might refund one client.
You’ll close five more.
Math works.
5) Productise early
Once you know:
minimum viable deliverables
exact outcomes
common objections
You lock the scope.
That’s how you scale without burning time or quality.