Sales & CRM

How to build an outbound email sequence as Asset Management Founders

Sales & CRMFor Asset Management Founders3 apps12 steps~24 min to set up

You're running LP development without a sales team. That means cold outreach to family offices, RIAs, and fund-of-funds happens whenever you carve out time between portfolio meetings and quarterly reports — which is almost never. You're probably working out of a spreadsheet of LinkedIn profiles you scraped manually, sending one-off emails from Gmail with no tracking, and losing track of which prospects got a follow-up and which fell into a black hole. The sequencing tools built for B2B SaaS (Outreach, Apollo sequences, Instantly) assume a dedicated SDR and a product with a 30-day sales cycle. Your raise is 18 months of relationship-building, not a cadence of 5 automated touches.

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Sales & CRMFor Asset Management Founders3 apps12 steps~24 min to set up

Outcome

What you'll set up

A prospect list sourced from LinkedIn and enriched automatically, filtered by the LP profile that actually fits your fund strategy — not a generic ICP template.

A multi-touch email sequence that drafts personalized outreach from Gmail on your behalf, tracks replies, and reminds you when a prospect has gone cold.

A CRM that logs every sent email, follow-up, and meeting note against each LP relationship so you can answer 'who haven't I followed up with since the AGM?' in two seconds.

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

LinkedIn Automation Email Agent CRM

Data sources & config

LinkedIn Automation runs through browser automation on your behalf — no LinkedIn API needed, so your account behaves like a normal human user. Gmail is a scheduled-sync provider: Starch syncs your Gmail data on a schedule so the Email Agent reads thread history, drafts replies, and logs sent messages against each LP record. The CRM connects to Gmail from Starch's integration catalog, queried live so deal-stage updates and email threads stay in sync.

Prompts to copy

Find family office principals and RIA partners in the Midwest who follow emerging fund managers on LinkedIn. Send connection requests with a note referencing their focus on alternative assets. For anyone who accepts, send a short message introducing my fund and offering a 20-minute call.

Build me an outbound email sequence for LP prospecting. Stage 1 is a short cold intro referencing the prospect's investment mandate. Stage 2, sent 5 days later if no reply, adds a one-paragraph fund update with our most recent realized return. Stage 3, sent 8 days after that, offers a deck and a call. Flag any reply for me immediately.

Build me a CRM for LP relationship management. Fields I need: name, institution type (family office / RIA / fund-of-funds / endowment), AUM range, mandate fit score (1-5), last touchpoint date, sequence stage, and notes from our last call. I want a view that shows everyone in active outreach who hasn't responded in more than 10 days.

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

Walkthrough

Step-by-step

1 Open LinkedIn Automation from the Starch App Store and describe your target LP profile in plain English — institution type, geography, AUM range, and any signals (posts about alternatives, fund-of-funds mandates, family office keywords in their bio).

2 Set connection-request criteria and message templates for accepted connections. LinkedIn Automation runs through browser automation at human-paced intervals, so your account stays within LinkedIn's activity norms.

3 Export or paste your existing prospect list (even a messy spreadsheet) into the CRM app. Starch maps the fields automatically and flags duplicates. Add the custom fields that matter for LP tracking: mandate fit, last touchpoint, sequence stage.

4 Connect Gmail as a scheduled-sync provider. Starch will sync your Gmail data on a schedule so Email Agent can read existing thread history and surface any LP you've already emailed but not followed up with.

5 Open Email Agent and describe your three-stage sequence: cold intro, fund update with performance data, and deck offer. Specify the delay between stages and the trigger condition (no reply = advance; any reply = pull out of sequence and flag).

6 Review the drafted Stage 1 emails before the first send. Email Agent generates personalized openers based on what it finds about each prospect — you approve the batch or edit individual messages.

7 Let the sequence run. Email Agent monitors replies via your Gmail sync and automatically moves prospects to the correct stage or flags hot replies for your immediate attention.

8 Each morning, open the CRM's 'stale outreach' view — everyone in active sequence who hasn't responded in 10+ days. Decide whether to advance them to the next stage, pause, or remove.

9 After any LP call, add a call note directly in the CRM. Ask Starch: 'Summarize my last three interactions with Meridian Capital and draft a follow-up email referencing our Q1 portfolio update.' It pulls from the CRM record and Gmail thread history.

10 Weekly, ask Starch: 'Show me everyone who accepted my LinkedIn connection in the last 14 days but hasn't been added to an email sequence yet.' Pipe that list directly into a new sequence batch.

11 Monthly, ask Starch: 'Which prospects have received all three sequence stages and never replied? Build me a re-engagement email that references any recent fund news or portfolio exits.' Send as a one-off warm touchpoint rather than an automated sequence.

12 At each close cycle, ask Starch to generate a pipeline summary: total prospects by stage, response rate by institution type, and a ranked list of warm leads sorted by mandate fit score and last engagement date.

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

Fund II LP Outreach — Q1 2026 Campaign

Sample numbers from a real run

LinkedIn connection requests sent	180
Connections accepted (24% acceptance rate)	43
Stage 1 emails sent from accepted connections	43
Stage 2 follow-ups sent (no reply after 5 days)	29
Replies received (across all stages)	11
Calls booked	6
Active diligence conversations	2

You're running a $40M Fund II raise targeting family offices and RIAs with alternative allocation mandates between $500K and $2M per commitment. In the first week of Q1, you describe your LP profile to LinkedIn Automation: 'family office principals and RIA partners who post about alternatives or private equity, based in the Southeast and Midwest, with at least 500 connections.' It sends 180 connection requests over 10 days at normal human pacing. 43 accept. Starch automatically pulls those 43 accepted connections into a new sequence batch. Email Agent drafts Stage 1 emails — each one opens with a line referencing the prospect's firm or a recent post they made — and you approve the batch in about 20 minutes. By day 15, you have 11 replies. Six want a call. Two of those are now in active diligence. The CRM shows you that the two warmest leads both came from RIAs in the $300M–$800M AUM range who responded to Stage 1, not Stage 2 — useful data for refining the next batch. Without Starch, this same pipeline would have taken you 4–6 weeks of manual LinkedIn browsing, one-off email drafting, and a spreadsheet you'd stop trusting by week three.

Measurement

How you'll know it's working

LP outreach-to-reply rate by institution type (family office vs. RIA vs. fund-of-funds)

Days from first contact to first call booked

Sequence stage drop-off rate (how many prospects ghost between Stage 1 and Stage 2)

Active diligence conversations as a percentage of total pipeline

Time from LinkedIn connection accepted to email sequence enrolled

Comparison

What this replaces

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

Outreach or Salesloft

Built for SDR teams running high-volume B2B SaaS sequences — licensing starts around $100/seat/month and the configuration assumes someone dedicated to ops; overkill for a solo GP doing relationship-driven LP outreach.

Apollo.io sequences

Good for finding and emailing contacts at scale, but LP prospecting isn't a volume game — Apollo doesn't connect to your CRM fields like mandate fit or last call notes, so you're still manually reconciling two tools.

Instantly or Smartlead

Cheap and effective for cold email at volume, but no CRM layer, no LinkedIn automation, and no AI drafting — you're writing every template yourself and tracking responses in a spreadsheet.

HubSpot Sequences + LinkedIn Sales Navigator

Covers the same surface area but costs $800–$1,500/month combined, requires meaningful admin time to configure, and still doesn't give you a CRM schema tailored to how emerging fund managers actually track LP relationships.

On Starch RECOMMENDED

One platform — linkedin automation, email agent, crm 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

Will LinkedIn flag my account for using automation?

LinkedIn Automation runs through browser automation — Starch controls a real browser session on your behalf, moving at human-paced intervals rather than making API calls. This means LinkedIn sees normal activity, not bot traffic. That said, no tool can guarantee zero risk of LinkedIn's detection algorithms; if you're sending 500 connection requests a day you're on your own. Keep volumes reasonable (under 25–30 requests per day) and you're in normal territory.

Does Starch actually write personalized emails or just merge-field templates?

Email Agent drafts each message individually based on what it knows about the prospect — their institution, any context in your CRM notes, and the thread history from Gmail. It's not a mail merge. That said, you should review the first batch before sending; the drafts will be solid but you'll want to tune the tone to match how you actually talk to LPs.

I already have LP contacts in a spreadsheet. Can I import them?

Yes. Paste or upload the spreadsheet into the CRM app and Starch maps the columns automatically. It'll flag duplicates and ask how you want to handle fields it can't map cleanly. You don't need a perfectly formatted file.

Is my LP data secure? Starch isn't SOC 2 Type II certified yet.

Correct — Starch is not SOC 2 Type II certified today. That's worth knowing. If your LPs or compliance counsel require SOC 2 for any vendor that touches contact data, you should factor that in. Starch does not store your Gmail content permanently — it syncs on a schedule and uses the data to power your apps. But we won't pretend a certification exists that doesn't.

Can the sequence pull in my fund's actual performance data — like realized returns or NAV — to personalize the emails?

Yes. If you connect Starch to Stripe or Plaid (both scheduled-sync providers), or pull financials from QuickBooks, you can ask Email Agent to reference specific numbers in Stage 2 or Stage 3 emails. For example: 'Draft a follow-up that mentions our 2.3x realized return on the SaaS exit we closed in Q4.' Starch pulls that from your connected data rather than making you paste it in manually.

What if a prospect replies and I want to take the conversation off-sequence?

Any reply automatically pulls the prospect out of the automated sequence and flags them for your attention in the CRM. You take it from there — Email Agent can still draft replies for you, but nothing sends automatically once a real conversation starts.