8:42 AM - Inbox triage
I open the dashboard with my second coffee. Tuesday morning, second month in. The Slack notification badge shows 23 unread messages, which is normal. Most are from the system: prospect enrichment batch completed at 3:47 AM, five new trial signups overnight, one failed payment retry. I don't look at those yet. I look at the red flag in the chat sidebar: "Escalation: Customer support" posted at 6:15 AM. I'll get to that.
First, I check the admin panel. Yesterday we pulled 47 new prospects from LinkedIn searches across all active customers' campaigns. 31 matched our ICP filters. 18 qualified for immediate outreach. The enrichment completion rate sits at 94 percent. The 6 percent that failed are mostly prospects without valid company email addresses, which we catch automatically.
I have 12 draft outreach emails waiting in the review queue. The system generates these for every qualified prospect, pulling from email templates and personalizing based on recent content, job changes, and company metrics. I don't approve all of them. I'll scan them this morning and flag anything that feels off.
9:18 AM - The draft email review
The first three emails are solid. The AI pulls recent articles the prospect published and mentions them by name. Marcus Chen at Loften, Inc. - the email opens with his company's Series B announcement last month and ties it to sales team growth. Clean. I mark it approved.
The fourth one stops me. It's for Sandra Walsh at Peak Performance Solutions. The email references a "recent career change" and a "new VP of Sales role," but the prospect record shows that LinkedIn update was from 2024. The prospect was promoted 14 months ago. This is the kind of mistake that signals we don't do our homework. I reject the email with a note: "Career change reference is outdated. Rewrite without the job change angle or wait for more current signals." The system logs it. This happens maybe once or twice a day.
The remaining nine drafts look good. I approve them. They queue for sending over the next hour, staggered across time zones.
10:35 AM - The billing escalation
The Slack message is from Jennifer Martinez at Clarity Marketing Group. She's been a customer for three weeks, running three targeted prospect lists. Her message: "Why did I get charged $400 instead of $200 this month?"
I open Stripe and find it in seconds. Jennifer's trial converted to paid on day 31, and the system charged her a pro-rata amount for the partial month plus the full next month. The math was right. The communication wasn't. The pricing page says "Flat $200/month. No setup fees." It doesn't mention pro-rata on first month conversion.
I open Gmail and draft a response. I explain the charge in plain language, apologize, and offer a credit of $72. That brings her current charge to $200 for the month. I send it. Then I log a task in Linear: "Clarify trial-to-paid pricing on the pricing page. Add a note about pro-rata charges on first month conversion." This is the third time this month.
Jennifer replies in six minutes: "Ok that makes sense. Thank you for explaining. Really like the product so far." I feel the small win. She stays.
12:14 PM - The metrics check
I pull up the main dashboard while eating lunch at my desk.
Week to date: 18 new trial signups, tracking at about 2.5 per day. At this rate, May will see 42 signups. At 7 percent conversion, that's three new paying customers. MRR would grow to $600. Year-to-date, I'm at $1,400 MRR. The unit economics work.
Demo bookings this week: four meetings scheduled. That's low. I've only sent outreach to people already using the system. I haven't pushed hard on selling yet. I'm still in the "get this running smoothly" phase. But I wonder if I'm leaving money on the table.
One customer churned last week. Marcus at Loften decided to build this in-house. His prospect quality was too high, his company too large for the self-serve motion. The churn rate is 4 percent month-to-month. Not terrible for month two, but it's the kind of number that matters.
2:47 PM - The edge case
A prospect record lands in the manual review queue with a flag: "Could not determine company size." The prospect is Arun Patel at Platform Collective. The enrichment engine pulled his email and LinkedIn, but couldn't match the company to any known entity. No funding records. No employee count estimate.
This is a real problem. The system is built on ICP matching, and I can't risk sending emails to people at companies where we've made assumptions that might not hold. I click through and do ten minutes of manual research: LinkedIn company page, domain search, recent news.
Platform Collective has about 80 people. They're the right size. But they're a hybrid agency and community, which means their sales motions might be different than our ICP. I mark the record as "enrichment incomplete" and flag it for later. The system did most of the work. I'm the check at the end.
4:15 PM - A thank-you and a decision
An email from Carol Reyes at Reyes Family Practice. Carol's in healthcare admin, not exactly our ICP. She found the product through a cold email, tried the trial, and has been using it for two weeks to find clinical staff leads.
"I've never found prospecting this easy. You've saved me 20 hours a month. Keep building."
I screenshot it and drop it in our internal Slack. One message. But it makes the math feel real. If Carol saves 20 hours a month with a $200/month subscription, the ROI is obvious. She's not our ICP, but she's proof of concept. I reply and ask if she'd be open to a call about how she's using it.
5:32 PM - Pipeline review
I open the calendar. Four confirmed demos for May. One prospect asked for a follow-up in two weeks. Two trials are still active with no engagement. I send a two-line email to each: "Just checking in. Any questions I can help with?" It takes ten minutes but creates a second touch at the right moment.
The pipeline for June is thinner. I make a note: "Increase outbound next week. Target 30 email sends to VP Sales at 100-200 person companies."
6:15 PM - Closing the laptop
I've been at this nine hours. My Slack is mostly clear except for one message from Jennifer asking about a feature: "Can we see historical enrichment scores for the same prospect over time?" It's a good question. I add it to the Linear board under "Future."
The day felt like this: the system did 80 percent of the work. I did the other 20 percent, and those 20 points made the difference between emails that opened and emails that landed in spam, between customers who stayed and customers who churned.
I didn't make 18 demos happen today. But I cleared a path for them to happen. I caught a bad email before it went out. I fixed a billing confusion that could have turned into a support headache. I flagged an edge case so we don't send bad prospecting data. I replied to a thank-you note and asked one follow-up question.
That's the job. It's not what I expected when I bought this for $200. But it's the job, and it's mine, and it's working.