Your forecast is only as honest as your quietest deal.
Not because anyone is lying. Because a lot of prospects never say no. They just stop replying.
So the deal sits there. Still "in proposal." Still counted. Months later it's still propping up a number everyone privately knows is soft.
Then someone starts a side spreadsheet because the system feels cluttered. Now there are two versions of the truth, and the one on the side is the one people actually believe.
That's how a forecast turns into a finger in the wind.
The fix usually isn't more fields or a new tool. It's a few honest agreements:
What has to be true for a deal to sit in this stage.
How long a quiet deal lives before someone calls it.
Who owns keeping it clean.
Boring? Completely.
But boring is what lets you walk into a partner meeting without rehearsing your excuses.
How long does a quiet deal live in your pipeline before someone calls it?
Bad data is worse than no data.
An ops leader at an agency said that to me, and I haven't been able to shake it.
With no data, you know you're guessing. You ask around. You stay humble about the number.
With bad data, you feel confident. You hire off it. You tell your partners the quarter looks fine.
Then it doesn't.
Most leadership teams I talk to don't have a data problem. They have a trust problem. The numbers are in there somewhere, but nobody believes them enough to make a real decision.
So the decisions get made the old way. Gut, memory, and whoever spoke last in the meeting.
That isn't a software problem. It's a leadership one. And it's fixable.
What's the one number in your firm you've quietly stopped trusting?
If you run a services firm and your core offer is getting squeezed by AI (lower prices, longer cycles, more losses), some of that is real. For some work, AI just gets better, more measurable results.
The old team-and-agency model with a generic offer has had a rough few months.
The fix isn't fighting AI. It's raising revenue per head. Use the new tools, reposition your offers, and change how you deliver them.
@thejustinwelsh Might have to do with all the responsibility landing in them once they’re in business on their own. Much more direct look in the mirror that you have to face each day compared to a job.
I went through 193 registrations for the free outreach workshop I ran yesterday.
121 run agencies doing 6-figures or more. For 89 of those 121, this was the biggest thing holding them back:
Pipeline.
That’s more than sales, scaling, positioning, and pricing combined.
The written answers sound the same:
“We’ve lived off referrals for years.”
“Most of our work comes from word of mouth.”
“It’s drying up.”
They treat referrals like a farm that runs on rainfall. Rain is great when it happens but you can’t schedule it. So the whole business rides on lucky—or unlucky—weather.
Most agency owners only send outreach when revenue dips. Then they stop when it spikes.
The fix is boring math. Send 10 outreach messages a day. If you spend 6 minutes on each, that’s only an hour/day. That’s 2,000 inboxes you can find yourself in, whether you’re busy or not.
When’s the last time you sent a pitch while you were busy?
Next on the list for our @bot grocery setup: tell it the meals we want for the week.
It looks up the recipes, builds the cart, and gets everything sent to our door.
We haven't set that part up yet, but it's clearly possible.
F your AI b2b SaaS.
We just launched Palantir for booking meetings.
The last 14 days, companies like @MonacoGTM , @Nowadaysai, @Rippling , @salesforce , @marketercom, @posthog , and @retellai spent $100k+ with us on literal cakes.
From today, Daymaker finds your prospects, reads their entire digital footprint, buys the one gift that makes their day, and gets you the meeting.
Comment your name and I'll reply with everything Daymaker finds on you and the gift it would send you. If you dare. 🎁
AI-native services firms will handle front office work, vertical AI products will handle back-office work, other business models (consulting, horizontal software, etc) will die off or get consolidated