This case study is illustrative. It describes the kind of outcome we’d expect from a mid-sized Austin team running the Real Estate Snapshot’s sphere-of-influence workflows. It does not depict a specific named team or any real client.
The situation
A four-agent residential team operating in central and east Austin had built a respectable book — roughly 600 closed clients across six years, plus another 200 warm contacts they considered “sphere.” Their problem wasn’t generating new leads. It was that almost none of their existing relationships were producing business.
The team lead summed it up bluntly: “We mean to reach out. We don’t. Then a past client closes with somebody else and we feel terrible.”
Their CRM was a spreadsheet with names, emails, and the year they closed. No segmentation. No cadence. No way to know who had been contacted in the last 12 months.
What we installed
The team chose the Real Estate Snapshot specifically for the sphere-of-influence workflows. The setup took 10 hours across two weeks.
Step 1: List import and de-duplication. The team’s 600 closed clients plus 200 warm contacts were imported into GoHighLevel. About 80 duplicates were merged. Each contact was tagged with year of last transaction, neighborhood, and property type.
Step 2: A/B/C segmentation. The team lead and two senior agents spent four hours sitting together and tagging contacts. The split came out to:
- A-tier: 38 contacts (people who had previously sent referrals or who the team felt high-confidence about).
- B-tier: 217 contacts.
- C-tier: 545 contacts.
Step 3: Cadence configuration. A-tier set to a 30-day rotating cadence (SMS, email, video, value drop, ask). B-tier at 60 days. C-tier at quarterly value-only emails with auto-promotion rules based on engagement.
Step 4: Content production. The team spent two sessions writing the first quarter of touches in their voice. Each piece referenced specific Austin neighborhoods, the local market shift, and Austin-specific events (SXSW timing, festival season, hurricane prep for Gulf-adjacent clients).
Step 5: Attribution. A referral source field was added to every new lead, with explicit tagging when a sphere contact made an introduction.
What happened in 90 days
This is the illustrative outcome — directionally consistent with what well-run sphere systems tend to produce, not a guarantee.
Month 1. Activity normalized immediately. 420+ touches sent across A/B/C tiers, replacing the previous baseline of roughly 15–20 touches per month. Reply rate on the first A-tier ask was 12% — high for a cold-restart sphere. Three past clients responded with “actually, my sister has been asking me if I know an agent.”
Month 2. The team booked their first sphere-attributed listing appointment. By the end of the month, two transactions were under contract from sphere referrals. C-tier engagement scoring auto-promoted 31 contacts to B-tier based on email clicks.
Month 3. Eleven referrals had been received and attributed. Of those, five were under contract or actively in transactions. The team lead estimated that, before the system, those eleven referrals would have produced maybe two transactions because most of the introductions would have died from slow follow-up.
The mechanical wins
Several specific things the system did that the team couldn’t have done manually:
Immediate reply handling. When a sphere contact replied to any automated touch, the system paused the cadence and pushed a notification to the assigned agent’s phone within seconds. No replies sat in an inbox for a day.
Cross-channel STOP suppression. Two contacts asked to be removed from SMS. The system suppressed them across email, mail, and all workflows instantly — no one accidentally got hit by a separate campaign.
Auto-promotion based on engagement. Roughly 5% of C-tier contacts moved to B-tier in the first quarter because of email engagement. The team didn’t have to manually review anything.
Referral attribution. Every new lead was tagged with source, and the team’s monthly review showed exactly which past clients were producing referrals. The top 4 referrers across the database accounted for 7 of the 11 referrals received — meaning the team now knew who to invest in personally.
The non-mechanical wins
Two things harder to measure but at least as valuable:
The team stopped feeling guilty. The “we should really reach out to past clients” anxiety that had hovered for years went away. The work was happening. Not at the level of a 1-on-1 phone call to every contact, but at a level that produced real movement.
Past clients started replying to thank them. A surprising number of the value-only emails — neighborhood market updates, local resource lists — produced “thanks, this was actually useful” replies. The team’s brand among past clients shifted from “the agent who sold our house” to “the agent who still adds value.”
What didn’t work
Two things were worth noting:
The first version of the A-tier “ask” message was too direct. Reply rate was lower than expected. The team rewrote it to be softer (“If anyone in your circle is thinking about a move, I’d love an introduction — no pressure either way”) and reply rate roughly doubled. Lesson: copy matters even with a perfect system.
Direct mail underperformed expectations. The team had budgeted for hand-addressed postcards as part of the A-tier cadence. Response was modest relative to cost. They scaled it back to anniversary-of-closing only, where it produced much better return.
What the team is doing next
Three things on the team’s roadmap for the next quarter:
- Adding a client appreciation event — an in-person touch quarterly for A-tier and engaged B-tier.
- Building a co-marketing partnership with a local title company to add value to past clients without adding work for the team.
- Refining the C-tier nurture content based on which emails generated the most clicks.
What this case study is and isn’t
It’s an illustration of what a well-configured sphere system can produce for a real estate team that previously had no system. It’s not a promise that any specific team will see identical results.
The variables that affect outcomes include market conditions, the quality and recency of the contact list, the team’s willingness to follow up on replies in person, and the voice and quality of the copy that goes out. The system removes the most common point of failure (the cadence stopping) but doesn’t replace the work of being a good agent when the conversation begins.
What the Real Estate Snapshot installs is the same set of workflows described above, ready to be mapped to your sphere within 24 hours of intake. The setup hours are the team’s investment in segmentation, voice, and local-market specifics. Once those are in, the system runs.
“We had 600 past clients in a spreadsheet and we were touching maybe 30 of them a year. Now the system handles the cadence and we just show up for the conversations.”