EP541: Andrew Seguin - Double The Revenue: Systems And Delegation That Scaled His Firm To $2M - Part 1 of 2

See what the team at The Successful Bookkeeper has on right now → Andrew Seguin was already running a strong bookkeeping firm when he last appeared on this podcast — at $1 million in revenue with a team of eight. Two and a half years later, he's back with a $2 million firm and a team of fifteen. In Part 1 of this two-part conversation, Andrew walks through the real work behind that growth: the systems he built, the delegation habits he had to form, and the profitability metrics that changed how he runs everything. Chapters [00:00] Opening quote on delegation [00:42] Introducing Andrew Seguin [02:30] From $1M to $2M: the story [05:30] Getting out of the weeds [09:00] Building training systems that scale [13:00] Managing change without overwhelming the team [17:00] Introducing the effective hourly rate [23:00] Building the profitability dashboard [28:00] Time tracking: getting team buy-in [34:00] Pricing strategy and the 3-month clause Getting Out of the Weeds Even after hitting $1 million, Andrew was still deep in the day-to-day — doing bookkeeping, managing clients directly, and holding too much tax knowledge himself. The path to $2 million required him to deliberately reduce his own workload. "I was probably still doing a lot of day-to-day work," he says. "I knew I had some goals for '24 and '25, which was to reduce my own workload." That meant hiring a dedicated payroll team, bringing on a tax specialist, and doubling down on the pod structure — senior and junior team members working together as a unit. Delegation Starts With Systems, Not Just Trust One of Andrew's clearest lessons: delegation without a proper training system is just dumping work on people. He invested heavily in building a training package so that new hires could learn the firm's tools, standards, and workflows without having to figure things out from scratch. "You spend a little bit of time upfront — it's always hard because you have to find time to do it. But once you get over that hump, that's where things really start cascading into a really strong effect." He also cautions against piling on too much change in a single year, aiming instead for one meaningful improvement goal per year so the team isn't overwhelmed. The Effective Hourly Rate: A Metric That Changed Everything The single biggest profitability driver Andrew introduced was tracking each client's effective hourly rate (EHR) — revenue divided by hours worked on that file. His firm uses ClickUp for time tracking and QuickBooks Online for revenue data, feeding into a custom-built dashboard that shows the team exactly where they stand, client by client. "We essentially cut about 10% of our clients and then priced up about 40% of our clients to a rate that we wanted internally." The target range is $125–$150 per hour, minimum. Before this system, the firm's average was around $106–$108 per hour. After 18 months of using the data, it's closer to $250. Transparent Data, Aligned Teams Andrew doesn't hide this metric from his staff. The management team sees it. The bookkeepers who work on those files are aware of it. When a client's EHR falls short, the conversation isn't about poor performance — it's about scope creep, underestimated complexity, or pricing that needs revisiting. He also ties compensation growth directly to hitting those rates, so the team has a real reason to track their time accurately. "I'm very transparent — you guys wouldn't have these increases the way you have been getting for the last 3 years if we didn't have this data." Pricing, Minimums, and the 3-Month Revisit Clause Andrew's pricing approach is a hybrid of fixed and value-based: estimate the hours, multiply by the target EHR, then add complexity factors like multi-currency, e-commerce, or payroll. The firm's minimum for monthly engagements is $1,000, with an average around $1,600. Critically, every new engagement includes a clause allowing the firm to revisit pricing after three months — when actual time and complexity data is in hand. "We've had to do that a few times because there is no perfect system. A questionnaire and a quick conversation isn't going to tell you enough about