Sales & CRM

How to enrich leads with linkedin data as Real Estate Founders

Sales & CRMFor Real Estate Founders2 apps11 steps~22 min to set up

You're doing LinkedIn outreach the hard way: manually searching for LPs, brokers, and family office contacts, copying profile URLs into a spreadsheet, then switching tabs to HubSpot or a Google Sheet to log what you found. Half the time the data is stale — someone changed firms six months ago and you don't know until you're already in the meeting. Enrichment tools like Clay or Apollo cost real money and require a separate workflow to push data back into wherever you track deals. For a real estate founder running a lean shop, that's three tools, three subscriptions, and a workflow nobody actually maintains consistently.

Build this on Starch → See the apps used

Sales & CRMFor Real Estate Founders2 apps11 steps~22 min to set up

Outcome

What you'll set up

A LinkedIn enrichment loop that automatically pulls current titles, firms, and contact info for your LP and broker contacts and writes them back into your CRM — no manual tab-switching

A CRM configured around your actual deal fields (property type, market, check size, LP status, broker relationship stage) with LinkedIn profiles attached to every contact record

An outbound sequence that finds and invites LinkedIn profiles matching your target LP or broker ICP and flags new connections for follow-up inside the same system

The Starch recipe

Apps, data, and prompts

The combination of Starch apps, the data sources they pull from, and the prompts you use to drive them.

Apps used

CRM LinkedIn Automation

Data sources & config

LinkedIn Automation runs through browser automation on your behalf — Starch automates LinkedIn through your browser, no API needed, so activity looks like normal human pacing. The CRM connects to Gmail through Starch's scheduled sync so email thread history lives on each contact record. New contact data from LinkedIn enrichment writes directly into the CRM fields you defined at setup.

Prompts to copy

Build me a CRM for a real estate operator. I track individual LPs and family offices, brokers by market (Dallas, Phoenix, Denver), and acquisition targets. For each LP I want to store: name, firm, check size range, asset class preference (multifamily, industrial, NNN), relationship stage (cold, warm, committed, active), last contacted date, and their LinkedIn URL. For brokers I want market, deal volume, and last deal we worked together. Pull in Gmail so I can see email threads on each contact record.

Set up LinkedIn Automation to review incoming connection requests from anyone in real estate — filter for: LP, family office principal, capital allocator, acquisitions, or investment manager titles. For outbound, find and invite people who work at family offices or RIAs with real estate mandates in Texas, Colorado, and Arizona. Leave comments on posts from active CRE operators and brokers in my feed — keep it specific and professional, no generic engagement bait.

Every time a new LinkedIn connection is accepted, enrich their profile data — current title, firm, location — and create or update their record in my CRM. Tag them as 'New LinkedIn connection' and set a follow-up reminder for 3 business days out.

Run these in Starch → or paste them into your favorite agent

Walkthrough

Step-by-step

1 Open Starch and start with the CRM app from the App Store. Describe your contact schema in plain English: LP fields (check size range, asset class, relationship stage), broker fields (market, deal volume), and acquisition contact fields (role, deal involvement). Starch builds the schema to match your language, not Salesforce's.

2 Connect Gmail through Starch's scheduled sync so that every email thread with an LP or broker automatically surfaces on their contact record. When you're prepping for a call, you'll see the last three emails without opening a second tab.

3 Import your existing contact list — CSV from your old spreadsheet, or pull from HubSpot if you've been using it. Tell Starch: 'Clean up this import, deduplicate contacts by email, and map LinkedIn URL to the LinkedIn field.' It handles the field mapping.

4 Set up LinkedIn Automation. Define your ICP for inbound review: accept connections from LP-side titles (principal, managing director, investment manager, capital allocator) at family offices, RIAs, and institutional allocators. Reject or hold everything else for your manual review.

5 Define your outbound target. Tell Starch: 'Find and invite people with LP or capital allocator titles at family offices and RIAs focused on commercial real estate in Texas, Colorado, and Arizona.' LinkedIn Automation runs this through browser automation at human-paced intervals.

6 Configure enrichment: whenever a new LinkedIn connection is accepted, Starch pulls their current title, firm, location, and profile URL and writes it into your CRM. If they already exist as a contact, it updates the record. If they're new, it creates one and tags them.

7 Set a follow-up automation: 'Three business days after a new LinkedIn connection is created in my CRM, send me a Slack message with their name, firm, and asset class preference so I can send a personal outreach email.' Starch schedules this trigger automatically.

8 For brokers you already know, run a manual enrichment pass: 'Go through every contact in my CRM tagged as Broker and check their LinkedIn profile for current firm and title. Update any records where the firm has changed in the last 12 months.' This runs through browser automation — no API or manual searching needed.

9 Ask your CRM a relationship health question: 'Which LPs have I not emailed or had a LinkedIn exchange with in the last 45 days and have a check size over $500K?' Use the answer to prioritize your next week of outreach.

10 Build a simple weekly digest automation: 'Every Monday at 8am, show me new LinkedIn connections from the past week, their CRM tags, and whether any are in markets I'm actively pursuing deals in.' Starch pulls this from your CRM and sends it to your inbox or Slack.

11 As your fund cycle ramps up, fork the CRM to add an LP commitment tracking view: amount committed, capital called, distributions made. Your LinkedIn enrichment data and your capital table live in the same place.

See this running on Starch

Connect your tools, describe what you want, and the agent builds it. Closed beta is free.

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Worked example

Dallas Industrial Q2 2026 LP Raise

Sample numbers from a real run

New LinkedIn connections (6 weeks)	214
ICP-matched LPs auto-enriched into CRM	61
LP intro calls booked from LinkedIn sequence	9
Soft commitments from enriched LP contacts	3
Estimated capital from those 3 commitments ($)	1,850,000

You're raising $8M for a Dallas industrial acquisition and need to get in front of 60–70 qualified LPs in 8 weeks. Instead of manually searching LinkedIn for family office contacts in Texas, you tell Starch's LinkedIn Automation: 'Find and invite principals and investment managers at family offices and RIAs with CRE exposure in Texas and the Sun Belt.' Over six weeks it sends 340 targeted invites at human-paced intervals, generating 214 accepted connections. Starch enriches each accepted connection automatically — pulling current title, firm, and location into your CRM, which you've configured with fields for check size range, asset class preference, and relationship stage. Of the 214, 61 match your LP ICP: check sizes above $250K, industrial or NNN preference, Texas or Sun Belt geography. Your Monday digest flags these 61 contacts with a note that none have been emailed yet. You draft nine intro emails using context from the CRM (firm background, asset class match, mutual connections visible in the LinkedIn profile). Nine calls happen. Three LPs soft-commit, totaling $1.85M toward your raise — sourced from a workflow you set up in an afternoon and didn't have to touch manually.

Measurement

How you'll know it's working

LP pipeline by relationship stage (cold / warm / soft committed / active) — tracked in CRM

LinkedIn acceptance rate by outbound ICP filter (title, geography, firm type)

Days since last contact per LP — surfaced by CRM query

Broker coverage by market: how many active brokers per target market with a deal in the last 18 months

Enrichment coverage: percentage of CRM contacts with a current LinkedIn title and firm on file

Comparison

What this replaces

The other ways teams handle this today, and how the Starch version compares.

Clay + HubSpot + LinkedIn Sales Navigator

Clay enriches well and HubSpot is a capable CRM, but you're paying for three separate tools ($200–$800/mo combined), maintaining three login contexts, and the enrichment data doesn't automatically flow back into your deal pipeline or trigger follow-up workflows without custom Zap logic.

Apollo.io

Apollo has solid prospecting and sequence features but its CRM is shallow, it's built for SaaS sales motion not real estate LP relationships, and it has no concept of property-level deal fields or capital commitment tracking.

Dux-Soup or Expandi (LinkedIn automation only)

These automate LinkedIn outreach but they're single-purpose tools — the contacts they generate live in a separate list with no path into your CRM, financial model, or email history without manual export-import.

Spreadsheet + manual LinkedIn search

Free and flexible, but enrichment is entirely manual, data goes stale the moment you stop updating it, and there's no way to query across your contact list ('who haven't I talked to in 45 days?') without building pivot tables.

On Starch RECOMMENDED

One platform — crm, linkedin automation all running on connected data. Setup in plain English; numbers stay current via scheduled syncs and live agent queries.

Try it on Starch →

FAQ

Frequently asked questions

Does Starch's LinkedIn automation put my account at risk?

LinkedIn Automation runs through browser automation — Starch operates LinkedIn through your browser at human-paced intervals, not through the LinkedIn API. This means LinkedIn sees activity that looks like a person using the site normally, which is what keeps most automation tools out of trouble. That said, no automation tool can guarantee LinkedIn won't change its terms or detection methods — you should stay within reasonable daily volume limits, which Starch manages for you by default.

What LinkedIn data actually gets pulled into my CRM?

Starch pulls the publicly visible fields on a LinkedIn profile: current title, current employer, location, and the profile URL. It writes these into whatever CRM fields you've defined for those data points. It does not pull private message data or contact information that LinkedIn restricts.

Can I enrich contacts I already have in a spreadsheet, not just new LinkedIn connections?

Yes. Import your existing contact list into the CRM, then tell Starch: 'Go through every contact with a LinkedIn URL and check their current title and firm. Update any records where the information has changed.' This runs as a browser automation batch job — Starch visits each profile, reads the current data, and updates your CRM records.

I track LPs and brokers differently — can the CRM handle two different contact schemas?

Yes. When you describe your CRM, tell Starch you have two contact types with different fields. LP contacts might have check size range, asset class preference, and commitment status. Broker contacts might have market coverage, deal volume, and last deal date. Starch builds the schema to match how you actually work — you're not adapting to a fixed contact model.

Is Starch SOC 2 certified? I need to know before connecting Gmail and LinkedIn.

Starch is not SOC 2 Type II certified today. If your fund has a compliance requirement that mandates SOC 2, that's worth knowing upfront. For most emerging managers and smaller operators, this isn't a blocker — but you should make the call based on your own LP reporting requirements and fund documents.

Can I use Starch to track which LPs have been emailed versus just LinkedIn-touched?

Yes. Because Gmail is connected through Starch's scheduled sync, every LP contact record shows email thread history alongside LinkedIn enrichment data. You can ask your CRM: 'Show me every LP I've connected with on LinkedIn but never emailed' — and get a real list, not a manual filter job.