Batch vs. real-time: designing your RealGreen integration architecture

Should your RealGreen integration be batch or real-time? Both, in the right places, and mostly batch. The architecture we build and recommend is boring on purpose: a nightly-synced replica of your data doing 95% of the work, a thin real-time lane for the handful of moments that cannot wait until tomorrow, careful and idempotent writes back into RealGreen, and monitoring that tells you the sync broke before your customers do. You do not need to design this yourself, but you do need to recognize it, because vendors will pitch you everything from all-real-time fantasies to a weekly CSV wearing a bow tie, and the questions at the end of this post will sort them quickly.

Why is the nightly replica the workhorse?

Two reasons: physics and arithmetic. The physics: almost nothing in a lawn care company changes minute to minute in a way marketing needs to know about. Programs, balances, visit history, statuses, condition codes: a copy refreshed every night is fresh enough for campaigns, segmentation, reporting, and nearly every automation in the standard playbook. The arithmetic: RealGreen API keys carry monthly call limits, and an integration that queries the live API for every question burns through them and then goes dark. Pulling changes once a night into your own database costs a predictable, small slice of the budget and makes every subsequent query free. The full reasoning lives in our API limits post; the design consequence is simple: query the replica, not the API.

The replica also buys resilience. If RealGreen is slow or the API hiccups tonight, your automations run against yesterday's copy and catch up tomorrow. An all-live architecture turns every upstream hiccup into your outage. And the replica is what makes the rest of your stack open-ended: once it exists, we can connect RealGreen to pretty much any platform out there with an API, a Zapier connection, or a native connection, because the other system's door is always the easy half of the job.

Which jobs actually need the real-time lane?

A short list, and it is genuinely short:

• Speed to lead. A new lead answered in five minutes closes at a different rate than one answered tomorrow. The five-minute rule cannot ride a nightly batch.
• Payments. A customer who just paid must stop receiving dunning immediately, and a pay link must reflect the live balance, not last night's.
• Inbound context. When a customer texts back or calls, the person or system answering needs current state, not a stale snapshot.

Notice what is not on the list: campaigns, win-backs, renewal sequences, reporting, review requests, upsell quotes. Everything downstream of "what happened recently" is fine at nightly. Since RealGreen integration is built on polling and replication rather than event push, real-time here means engineering a narrow fast path, which is exactly why it should stay narrow: we walked through what event-driven would buy and what actually exists in the webhooks post.

The fast lane in practice: Trigger: a new lead lands from a form or a tracked call. Action: the prospect record is created immediately, the first text fires within five minutes, and the nightly batch reconciles the full record later. Math: illustrative, plug in your own: 80 leads a month, close rate lifting from 22% to 30% with five-minute response, $560 average program: 80 × 0.08 × $560 ≈ $3,600 a month attributable to the one lane that genuinely needed to be fast.

Writing back to RealGreen without making a mess

Reads are safe; writes are where integrations earn trust or lose it. Your marketing layer will want to write a few things back: new leads as prospects, notes on the record, maybe payment postings depending on the stack. The engineering word that matters is idempotent: if the same write is attempted twice, because a job retried after a timeout, the result is one lead in RealGreen, not two. Ask any vendor how they guarantee that, and listen for a real answer: an external reference key checked before insert, not "that has never happened." The second rule is to write narrowly. The integration should touch the fields it owns and nothing else, because a sync that overwrites office-entered data is how the front desk learns to distrust the whole system, and office trust is the actual foundation your automation runs on. The third rule is to log everything: every write, timestamp, and payload, kept where a human can read it. When the office asks why a prospect appeared twice, checking the log is a five-minute answer; without it, the question becomes a week of guessing and an integration nobody trusts.

How do you know the sync is healthy?

Every sync eventually breaks: a password rotates, an API changes shape, a server has a bad night. The difference between a mature integration and a hobby project is whether anyone notices before the customers do. Healthy setups watch three things: freshness (when did the last successful sync finish, with an alert when the replica's age crosses a threshold), volume sanity (last night moved 214 changed records; a night that moves zero, or 40,000, is a red flag either way), and write outcomes (every write-back accounted for as confirmed or retried, with a human alerted on repeated failure). Ask to see the actual dashboard, not a slide about one. A useful smoke test: "When my sync last failed, how did I find out?" A vendor with a real answer has real monitoring.

Freshness also deserves a customer-facing rule: if the replica is more than a day stale, pause the automations that message customers about their own account. A win-back sent to someone who renewed yesterday is survivable; a dunning text sent to someone who paid yesterday burns trust you cannot easily buy back. Stale data should fail quiet, not loud.

Questions to ask any integration vendor

• Where does my data live, and do you query the replica or the live API for day-to-day work?
• How fresh is the copy, and which specific workflows ride a faster lane?
• What do you write back into RealGreen, and how are duplicate writes prevented?
• How many API calls does your integration consume monthly against my key's limit?
• How am I alerted when a sync fails, and what is your median time to notice?
• When we part ways, how do I get my accumulated data out?

The takeaway: nightly for nearly everything, real-time only where minutes change the outcome, idempotent and narrow on writes, and monitored like it will break, because it will. An architecture with those four properties is quiet for years. Any other shape is a support ticket with a delay on it.

Start the architecture conversation

1. List every workflow you want, then mark the ones that genuinely change outcome within minutes. Expect three or fewer.
2. Ask your current or prospective vendor the six questions above and write the answers down.
3. Check your API key's monthly call budget against what the proposed integration will consume.
4. Confirm who owns which fields on write-back, in writing, before anything goes live.
5. If you would rather inherit this architecture than commission it, that is the shape of our RealGreen integration already.