A Campaign So Effective They Had to Shut It Off
In July 2025, BRD Pest Solutions launched a text message campaign to upsell mosquito control to their existing pest control customers. Within weeks, the campaign had generated over $500,000 in new revenue, booked more than 1,300 sales calls, and closed 786 deals entirely over SMS.
Then they turned it off. Not because it stopped working. Because they ran out of mosquito chemicals and couldn't hire technicians fast enough to keep up with demand.
This is the story of what happened when a mid-sized pest control company pointed AI-powered outreach at 30,000 existing customers, and what they learned about the gap between generating demand and fulfilling it.
Who BRD Pest Solutions Is
BRD Pest Solutions is a regional pest control company operating seven offices with roughly 35,000 customers. They offer the standard suite of residential and commercial pest control services, and for years, they had also offered mosquito control as an add-on service. On paper, it was a natural upsell. Customers already trusted BRD to handle their pest problems. Mosquito treatment was a logical extension.
But adoption was low. Most customers didn't even know mosquito control was available. The ones who did often didn't see the value until they were standing in their backyard getting eaten alive in June, by which point the sales team had already moved on to the next campaign.
BRD knew they were sitting on untapped revenue. The question was how to actually reach 35,000 people and have a real conversation about mosquito control with each of them.
Why Traditional Outreach Wasn't Cutting It
BRD had tried the usual playbook. Bulk email blasts promoting mosquito control. Outbound phone campaigns where reps worked through customer lists. Seasonal promotions timed to spring and early summer.
The results were always the same: modest. Email open rates were underwhelming, and even the customers who opened the emails rarely clicked through. Phone campaigns were better in theory, but the math didn't work. You can't call 30,000 customers with a five-person sales team. Even if each rep made 80 calls a day, it would take months to get through the list, and by that point, mosquito season would be half over.
The other problem was timing. Pest control sales tend to spike early in the season and taper off as summer goes on. A phone campaign that starts in May and is still calling people in August is fighting the calendar. Customers who might have said yes in May have already found another provider or decided to live with the mosquitoes.
BRD needed a way to reach their entire customer base at once, with a personalized message, and actually carry on a back-and-forth conversation with each one.
The Approach: 30,000 Conversations at Once
In July 2025, BRD loaded 30,000 of their existing pest control customers into Plaibook for an SMS upsell campaign. The goal was straightforward: text each customer, offer them mosquito control, and handle the conversation from there. If the customer was interested, book them. If they had questions, answer them. If they had objections, work through them. If they weren't interested, be polite and move on.
BRD described what they wanted the AI to do in plain English. The tone. The offer. How to handle common objections. What to do when someone says “not right now” versus “never contact me again.” Plaibook's AI then ran the actual conversations on its own: texting customers, replying to their questions, working through objections, and booking appointments around each customer's schedule.
Of the 30,000 customers contacted, roughly 28,000 conversations were started. That's 28,000 individual text threads where a customer received a message and the AI was ready to engage. Each one was a real two-way conversation, not a broadcast.
To put that in perspective: if BRD had tried to do this with their sales team, each rep would need to juggle hundreds of simultaneous text threads, remembering where each conversation left off, what the customer's objection was, and whether they preferred mornings or afternoons. At 28,000 conversations, no amount of hiring solves it. Humans just can't work that way. The AI handled all of it concurrently, with each customer getting responses that were specific to their situation, their questions, and their schedule.
Finding the Right Tone: The Tunability Question
One of the first things BRD had to decide was how aggressive the AI should be. This is a real tradeoff, and Plaibook lets you dial it in with real data, not guesswork. BRD tested three approaches:
Aggressive
Push hard for the close. Follow up persistently. Be direct about the offer and its benefits. Result: 15.5% close rate, but 17% negative sentiment. Nearly one in five customers came away from the conversation annoyed.
Balanced
Be clear about the offer but respectful of boundaries. Follow up, but don't badger. Result: 7.6% close rate with only 10% negative sentiment. Fewer annoyed customers, and still strong sales numbers.
Gentle
Soft touch. Mention the offer, answer questions if asked, but don't push. Result: 5.2% close rate, 6.3% negative sentiment. Very few customers were upset, but far fewer converted.
BRD chose the balanced approach. The reasoning was practical: they valued their existing customer relationships. A 15.5% close rate sounds great until you realize that 17% of your entire customer base is irritated with you. These aren't cold leads. These are people who already pay you for pest control every month. Burning that goodwill for a few extra points of conversion wasn't worth it.
The balanced approach also told BRD something important about their market. At a 7.6% close rate across 28,000 conversations, there was clearly a large pool of customers who were interested in mosquito control but had never been asked in the right way at the right time. They didn't need to be pressured. They just needed to be reached.
What the Conversations Actually Looked Like
The real test of any AI sales tool isn't the average case. It's the edge cases. The customer who pushes back. The one who's annoyed. The one who's interested but has a real objection. BRD saw all of these, and the way Plaibook handled them is what made the campaign work.
Handling the Budget Objection
One common scenario: a customer replied that they were interested in mosquito control but couldn't afford to add another service right now. Instead of dropping the conversation or pushing a hard close, the AI offered a deferred payment option. It acknowledged the customer's budget concern, presented an alternative that let them start the service now and spread out the cost, and booked the appointment. The customer went from “I can't afford it” to “okay, let's do it” in a handful of messages.
This is the kind of conversation that falls apart in a bulk email or an automated phone tree. It requires understanding what the customer actually said, having a relevant response ready, and delivering it in a way that feels like a conversation rather than a script.
Handling the Annoyed Customer
Another scenario that came up repeatedly: customers who were genuinely annoyed to receive a sales text. Some were blunt about it. In these cases, the AI didn't escalate. It didn't fire back with another pitch. It apologized for the inconvenience, acknowledged the customer's frustration, and backed off.
But here's the interesting part. In several cases, the AI followed up days later with a softer message, something like: “Hey, just wanted to make sure your regular service is going well. Let us know if there's anything we can help with.” A few of those customers, the ones who had been annoyed just days earlier, actually circled back and ended up booking mosquito treatments. Just because someone is annoyed on Tuesday doesn't mean they're a lost cause by Friday.
No human sales rep has the bandwidth to follow up with an annoyed customer three days later with a gentle check-in. They've already moved on to the next call. The AI doesn't forget and doesn't hold a grudge.
The Results
Here are the numbers from BRD's campaign, with some context:
- 28,000 conversations started out of 30,000 customers contacted
- 786 deals closed entirely over text — no phone call, no in-person visit, just SMS
- 1,360 sales calls booked for customers who wanted to talk to a human before committing
- $500,000+ in new revenue from a single campaign
- 5x+ return on investment
The day-to-day impact was even more dramatic. Before the campaign, BRD was scheduling about 61 mosquito control appointments per week. After the campaign launched, that number surged to 1,072 appointments per week. That's a 17.5x increase in weekly appointment volume.
Zooming out to the annual numbers: in 2024, BRD booked 3,596 total mosquito control appointments for the entire year. In 2025, that number hit 10,614. A 195% year-over-year increase. Their mosquito control business nearly tripled in one year.
“When we started using Plaibook we saw our daily revenue skyrocket 10X and our outbound close rate was elevated to 75%.”Taylor Christensen, Marketing Director, BRD Pest Solutions
The 786 direct closes are worth looking at more closely. These are customers who went from receiving a text message to agreeing to a new service and booking an appointment without ever picking up the phone. For a services business, that's unusual. People typically want to talk to someone before committing to a recurring service. The fact that hundreds of customers were comfortable closing over text says something about the quality of the AI conversations. They felt real enough that customers trusted the interaction.
The 1,360 booked calls are arguably even more valuable. These weren't cold calls where a rep has to explain who they are and why they're calling. These were warm handoffs. The customer had already expressed interest over text, had their basic questions answered, and just wanted to talk to a person before pulling the trigger. Those calls close at a much higher rate and take less time because most of the selling already happened over text.
The math is simple. A typical outbound sales rep might connect with 20-30 customers a day by phone, many of whom aren't interested and never were. Those are wasted minutes. With Plaibook handling the initial outreach and qualification over text, BRD's phone reps only talked to people who had already raised their hand. Every call was productive. The reps weren't dialing into dead air and voicemails. They were confirming details and closing deals with people who actually wanted to buy. Multiply that across a five-person team and you get a lot more done in a day.
What Went Wrong
This campaign wasn't all good news. When you 17.5x your weekly appointment volume in a matter of weeks, things break. And at BRD, several things broke.
They Ran Out of Chemicals
BRD had stocked mosquito treatment chemicals based on historical demand. Historical demand was 61 appointments a week. When demand jumped to over 1,000 appointments a week, their chemical inventory was gone in days. They had to pause the campaign while they scrambled to restock. Supplier lead times meant they couldn't just snap their fingers and get more product.
They Couldn't Hire Fast Enough
More appointments means more technicians in the field. BRD's existing crew could handle the old volume. They could not handle 17x the old volume. Recruiting, hiring, and training pest control technicians takes weeks at minimum. You can't generate demand on Monday and have new technicians trained and routed by Friday. BRD found themselves in the unusual position of having more booked revenue than they could physically service, which meant pushing appointments out further than customers expected and risking the goodwill the campaign had just built.
CRM Reconciliation Was Messy
When you close 786 deals over text and book 1,360 calls through an AI system, all of that data needs to flow back into your CRM cleanly. Customer records need to be updated. New service lines need to be added to existing accounts. Appointments need to sync with routing and scheduling software. At BRD's scale, this reconciliation was messy. Some records didn't sync correctly. Some appointments were double-booked. The data was there, but getting it into the right format in the right system took manual cleanup work that nobody had planned for.
None of these problems were product failures. They were operations lessons. The campaign worked too well, too fast, and the business wasn't ready for the volume. That's a good problem to have, but it's still a problem. If BRD were to run this campaign again (and they plan to), they would pre-stock significantly more inventory, have a hiring pipeline ready to activate, and build tighter CRM integrations before flipping the switch.
The lesson for other pest control companies is clear: before you turn on a campaign like this, make sure your operations can absorb the demand. Build capacity before you build pipeline. The worst outcome isn't a campaign that underperforms. It's a campaign that overperforms and damages customer trust because you can't fulfill what you sold.
The Takeaway: Your Customer Database Is a Revenue Engine
It's tempting to frame this story as “AI is magic.” It's not. What happened at BRD Pest Solutions wasn't magic. It was math.
BRD had 35,000 customers. Some percentage of those customers wanted mosquito control. That percentage was always there. The demand existed before the campaign started. What BRD lacked was a way to reach all 35,000 people with a personalized, two-way conversation at the exact moment they might say yes. Email couldn't do it. Phone campaigns couldn't scale it. The demand just sat there, unrealized, year after year.
Plaibook surfaced that demand. It took the customers who were already in BRD's database and already paying for pest control, and it started a real text conversation with each of them, one where the customer could ask questions, push back, and get straight answers.
The $500,000 in new revenue didn't come from acquiring new customers. It came from existing ones. BRD didn't spend a dollar on new leads. They didn't run a single ad. Every dollar of that revenue came from customers they had already earned, people who already trusted them enough to let them into their homes every month.
That last point is worth sitting with. The pest control industry spends enormous sums acquiring new customers through digital ads, door-to-door sales, and referral programs. Customer acquisition costs keep climbing. Meanwhile, the most profitable revenue source is often the customers you already have, people who already trust you, already have you on their property, and already see value in what you do. Upselling an existing customer costs a fraction of acquiring a new one, and the lifetime value is higher because multi-service customers churn at much lower rates.
Most pest control companies are in the same position BRD was before this campaign. They have thousands of customers who could be buying additional services. Mosquito control. Termite inspections. Wildlife exclusion. Lawn care. The revenue is sitting right there in the customer database, waiting for someone to ask.
The question isn't whether your customers want more services. Some of them do. The question is whether you have a way to find out which ones, at a scale that matters, without burning out your sales team or annoying the customers who aren't interested.
BRD found their answer. 786 closed deals. 1,360 booked calls. $500K in new revenue. A campaign so effective they had to turn it off because they couldn't keep up.
The AI part is incidental. The real story is what happens when you finally talk to your customers.