The first 90 days: marketing automations for new RealGreen customers

The first 90 days decide whether a new customer becomes a five-year customer or a coded cancel by June. Five automations cover it: a welcome sequence, a first-application expectations message, an early review ask, a referral seed, and a correctly timed cross-sell, all triggered straight off RealGreen data. Here's each one, with the early-churn math that justifies the effort.

Why do the first 90 days matter so much?

Because cancels cluster early. Most lawn care owners who pull their cancel dates find that a large share of first-year churn happens before the third application: the customer hasn't seen results yet, doesn't know what's normal, and is still mentally comparing you to the other two companies that quoted them. Illustrative math: sign 500 new customers at a $550 average program and lose 15% of them inside 90 days, and you've walked away from roughly $41,000 of first-year revenue, plus every renewal year behind it. Cut early churn from 15% to 8% and you keep ~$19,000 of that without buying a single new lead. Retention in the first 90 days is the cheapest marketing you will ever run, which is the same argument behind retention automation generally. It just matters most at the start.

What should the welcome sequence look like?

Three touches, all automatic, all triggered by the new program being entered in RealGreen. First, a same-day welcome, email plus a short text, confirming the program they bought, the price, what's included, and the window for the first visit. Half of early cancels are really confusion refunds; this message kills most of the confusion. Second, a what-to-expect message the day before or morning of the first application: what the tech will do, gate and pet notes, and, critically, the results timeline ("you'll see weeds curling in 10–14 days; full green-up takes a few weeks"). Third, a post-visit summary after the first completed application: what was applied, what to watch for, watering instructions. Companies running this on autopilot through email & SMS stop getting the "did anyone actually come out?" calls. This window is also the easiest time to get new customers onto autopay, while payment details are already on the table.

When should you ask for the first review?

After the second completed application: not the first, and not never. After visit one the customer has no results to talk about; after visit two they've seen your crew twice, the invoice matched the quote, and the lawn is usually starting to respond. Trigger the ask off the completed-job record in RealGreen, send a direct link to your Google Business Profile, and keep it to one ask plus one polite reminder a week later. New customers are your best review source: the experience is fresh and they self-select as happy by still being customers. That steady drip is what builds the review velocity that moves map rankings.

When do you plant the referral seed?

Around day 45: after the review ask, before the cross-sell. The message is soft: "Know a neighbor who'd want their lawn looking like yours? You both get a credit." It won't produce a flood on day 45, but it establishes that referrals are a thing you do, so the ask lands familiar when you repeat it after green-up. The mechanics (incentive structure, tracking in RealGreen, realistic rates) deserve their own post, and they have one: referral programs that actually work. If the new customer came from a neighborhood you already service, this is also the moment to loop their street into your neighborhood marketing: a new sign-up is social proof for the eight houses around it.

When is it too early to cross-sell?

Before the customer has seen results, a cross-sell reads as upselling a stranger. It can actively damage trust. The right window opens around day 60, and the right trigger is usually not the calendar at all: it's a condition code. When the technician logs grub activity, bed weeds, or thin turf on visit two or three, that observation can drive a specific, relevant offer, which is the whole engine described in our condition-codes playbook. A day-60 offer tied to something the tech actually saw converts at a completely different level than a generic "add mosquito control!" blast in week one.

The 90-day timeline at a glance

When	Touch	Trigger	Goal
Day 0	Welcome email + text: program, price, first-visit window	New program entered in RealGreen	Kill buyer's remorse
First visit	What-to-expect message, then post-visit summary	Scheduled + completed job	Set the results timeline
~Day 30	Review ask with direct Google link	Second completed application	Capture the honeymoon review
~Day 45	Referral seed: two-sided credit offer	Calendar + active status	Normalize referring
~Day 60	Cross-sell tied to a tech observation	Condition code logged	Relevant, earned upsell
~Day 75	Check-in: "How are we doing?" with a reply path	Calendar + active status	Surface problems before cancel season

How do you actually run this from RealGreen?

Every trigger above (new program, completed job, condition code) lives in RealGreen. The catch is that RealGreen's API wasn't built for a marketing system to poll it all day; we covered the limits and the workaround separately. The short version: a nightly customer-data sync gives your marketing platform a clean feed of new starts, completed jobs, and condition codes, and the sequences run from there, the same architecture behind everything in our RealGreen automation catalog. Set it up once and every new customer gets the same first 90 days your best office manager would deliver by hand, without anyone remembering to do it. And once the first 90 days are over, between-round communication keeps the same rhythm going for the rest of the season.

One honest caveat: automation doesn't fix a bad first application. If the tech skipped the backyard or the invoice surprised people, no welcome sequence saves it. Run the sequence and read the replies: the day-75 check-in exists precisely so problems surface to a human. An automated NPS survey is a clean way to run that check-in at scale.

The takeaway: cancels cluster in the first 90 days, and five automations (welcome, expectations, review ask at the second application, referral seed at day 45, condition-code cross-sell at day 60) turn that window from your churn peak into your review and referral engine.

Your first-90-days checklist

1. Pull last year's cancels by tenure: confirm how much of your churn is early churn.
2. Write the three welcome-sequence messages (welcome, what-to-expect, post-visit).
3. Wire triggers to RealGreen data: new program, completed jobs, condition codes.
4. Set the review ask to fire after application #2 with a direct Google link.
5. Add the day-45 referral seed and day-75 check-in.
6. Review replies weekly: the automation surfaces problems; a human solves them.