How real estate teams convert CRM leads into closings using Ylopo's lead management system, from Ryan Neter's 2026 Success Summit session.
At the 2026 Ylopo Success Summit in Charleston, Ryan Neter gave a session on something that rarely gets dedicated time at industry events: what actually happens after a lead enters a CRM, and why that tends to be where many teams lose ground.
Ryan runs Ylopo's Growth Team.
The team works with clients across the country on building the daily habits that turn database activity into appointments and closings, rather than on feature walkthroughs or product onboarding.
Two situations that need different fixes
Before recommending a workflow change, Ryan says his team spends time figuring out which of two patterns is actually present.
The first is the pipeline-heavy team: large lead volumes, agents with hundreds of contacts in their names, and a growing tendency to ignore notifications because there is no clear way to prioritize them.
Ylopo's activity signals are working. The process for responding to them isn't.
The second tends to show up in teams that have recently added newer agents or gone through some turnover. There are names in the database.
What's missing is a daily structure for turning those names into real conversations. When agents get a large lead pool without a clear call framework, many of them don't know where to begin, and the pool sits.
The reason Ryan flags this distinction early is that the fixes are different.
What helps a pipeline-heavy team get control of their workflow doesn't address the confidence problem a newer agent is working through, and applying the same approach to both tends to make neither one better.How smart lists change what agents actually do
That diagnostic carries directly into how the lead flow gets organized.
Ryan's approach relies on what Ylopo calls "ponds," which are filtered smart lists inside Follow Up Boss built around recent lead behavior rather than raw volume.
Agents aren't looking at a large column of names organized by when they came in. They're looking at a shorter, more targeted list filtered by recent activity and timing.
New leads entering the system get routed into a list his team calls "Money Time," a filtered view showing contacts who visited the site within the last ten days with recent engagement. For older leads that have gone quiet, there's a separate list called the "Shark Tank."
Ylopo's remarketing technology runs in the background on those contacts, and when one of them revisits the site, they surface in the list with context the agent can reference.
What Ryan returns to is the practical effect on agents: a list that reflects who's active right now is a list an agent can actually work through.
A list that's just large tends to not get worked at all.The conversation itself
A focused list gets an agent on the phone. What happens in those first thirty seconds tends to determine whether the call goes anywhere.
Ryan shared the approach his team uses with newer agents in particular: open with curiosity rather than urgency, and address the "just browsing" response before the lead can offer it.
When a lead says they're not ready, the script doesn't treat that as a dead end. It positions the agent as someone who regularly works with people early in the process, then asks a single open-ended question about what a right situation might look like.
What the growth team finds across the agents they work with is that a tight, manageable call list paired with a repeatable conversation framework tends to build momentum faster than a large pool without structure.
The script gives agents a starting point. Repetition is what develops the judgment to eventually go off it.
Where AI fits once that foundation is there
At the point where ponds are running and agents have a consistent approach to calls, AI texting and AI voice begin contributing something meaningful.
Ryan walked through what he sees when teams skip that foundation and deploy AI tools first.
Agents get complaints from leads who feel the outreach is automated and impersonal. Team leads face pressure to shut the tools off.
The engagement the AI generated was real; nobody built the workflow to pick it up.When the process is in place, AI engagement feeds directly into the pond. Behavioral signals from AI texts and website visits route the lead into the right list.
The agent calls. The conversation picks up where the AI left off.
For teams at that stage, Ryan noted that scaling up AI drip volume stays manageable because the response system is already built.
How the Growth Team works with Ylopo clients
Building that response system is the core of what Ryan's growth team does.They:
Work through the diagnostic first
Build the pond structure and filtering logic for Follow Up Boss
Create reference guides that tell agents what to do in each list
Set team-level standards that create consistency over time
For teams building their pipeline from the ground up, the starting point Ryan uses is two appointments and fifteen conversations per week, with the expectation that it moves up as the system settles in.
He walked through all of this at the 2026 Ylopo Success Summit, including:
Live Follow Up Boss workflows
Real agent examples
The exact language his team uses in prospecting calls
The full session is below.
▶ Watch Ryan Neter's Full Session — 2026 Ylopo Success Summit
Work with the Ylopo Growth Team
Different teams will take different things away from that session based on where their bottleneck is.
For teams that want to go deeper on their specific setup, the growth team runs direct working sessions for Ylopo clients covering pond structure, agent call frameworks, and AI layering once the foundation is ready.
Aaron Franklin
Head of Growth
Aaron "Kiwi" Franklin is the Head of Growth at Ylopo and a serial technologist and entrepreneur who has over 25 years of experience creating digital solutions for major brands and pioneering companies where technology and real estate meet. His depth of expertise stems from leading development of the first website for Apple to founding a global community of over 1,000 elite athletes.