Sales & CRM

How to enrich leads with linkedin data as Professional Services Founders

Sales & CRMFor Professional Services Founders2 apps12 steps~24 min to set up

You have 40 leads in HubSpot or a Google Sheet from a conference, a referral wave, or a LinkedIn campaign. Before you write a proposal or pick up the phone, you need to know: are they a VP or a coordinator? Have they changed firms since you met them? Are they at a 20-person boutique or a 500-person holding company? Right now that means opening LinkedIn, searching each name, copy-pasting titles and company sizes into your CRM one row at a time. On a good day it takes 90 seconds per contact. Across 40 leads that's an hour of work a senior consultant or you personally would rather spend on a client deliverable. And it's stale the moment you do it.

Build this on Starch → See the apps used

Sales & CRMFor Professional Services Founders2 apps12 steps~24 min to set up

Outcome

What you'll set up

A CRM that automatically pulls current LinkedIn job titles, company sizes, and recent role changes for every contact in your pipeline — without you touching LinkedIn manually

A live-enriched lead list where you can ask 'which of these prospects moved to a new firm in the last 90 days?' and get a real answer, not a manual audit

An outbound sequence that cross-references enriched LinkedIn data with your HubSpot deal stages so you're personalizing outreach based on what the prospect actually does today, not what you remembered from a business card

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

Starch connects directly to LinkedIn through browser automation — no LinkedIn API needed. Your HubSpot deals sync on a schedule so the CRM always has your latest pipeline. If you're running contacts from a Google Sheet instead, connect Google Sheets from Starch's integration catalog; the agent queries it live when the enrichment workflow runs.

Prompts to copy

Build me a CRM for a 12-person professional services firm. Fields I care about: contact name, current title, company, company size, industry vertical, how we met, proposal stage, last touch date, and LinkedIn profile URL. Pull LinkedIn enrichment on every contact automatically and flag anyone whose title or employer has changed since we added them.

For every contact in my CRM where the LinkedIn profile URL is filled in, visit their LinkedIn page and extract their current job title, current employer, employee count if visible, and their most recent post or activity. Update the CRM fields and mark the enrichment date.

Set up a LinkedIn Automation that sends a connection request to every contact in my 'warm lead' pipeline stage who I'm not already connected with. Use this message: 'Hi [first name] — we met at [event / referral source]. Would love to stay connected.' Review each request before it goes out.

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

Walkthrough

Step-by-step

1 Open the Starch CRM app from the App Store and describe your pipeline in plain English — stages, the fields that matter to you (vertical, how you met them, proposal status), and your current data source (HubSpot or a Google Sheet).

2 If you use HubSpot, Starch syncs your contacts, companies, and deals on a schedule. If your leads live in Google Sheets, connect it from Starch's integration catalog so the agent can query it live.

3 Tell Starch which contacts need enrichment: 'For every contact added in the last 60 days where LinkedIn URL is filled in, go to their LinkedIn profile and pull current title, employer, company size, and most recent activity date.'

4 Starch's browser automation visits each LinkedIn profile in sequence, extracting the fields you named. Each profile runs in an independent browser session so one bad URL doesn't stall the whole batch.

5 Enriched data writes back into the CRM. You can now sort and filter by company size, spot title changes, or flag contacts whose employer has changed since you added them.

6 Open the LinkedIn Automation app and describe your ICP for outbound: 'Send connection requests to contacts in my warm-lead stage who are Director-level or above at professional services firms with 50–500 employees. Use a short personalized note referencing how we met.'

7 Starch reviews each pending request against your criteria before sending — you set the daily send volume and can approve a batch manually before it goes out, keeping account activity at a human pace.

8 Back in the CRM, ask: 'Who in my pipeline changed employers in the last 90 days?' Starch cross-references enrichment dates and current employer fields and gives you a named list.

9 For that list, prompt Starch: 'Draft a short re-engagement email for each of these contacts referencing their new role, using my Gmail account. Queue them for my review before sending.'

10 Set a weekly automation: 'Every Monday at 8 AM, check my CRM for contacts in proposal or negotiation stage whose LinkedIn data hasn't been refreshed in 30 days. Re-enrich those profiles and Slack me a summary of any title or employer changes.'

11 As new leads come in — from referrals, events, or your LinkedIn Automation outbound — they drop into the CRM and the enrichment workflow runs automatically without you queuing it manually.

12 At the end of each month, ask Starch: 'Which pipeline contacts are at firms with 100–500 employees, in the management consulting or financial advisory verticals, and haven't been contacted in 45 days?' Use that list to prioritize your next outreach sprint.

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

Q2 2026 outbound push — 38 conference leads from an APMP chapter event

Sample numbers from a real run

Contacts imported from event badge scan (Google Sheet)	38
LinkedIn profiles successfully enriched via browser automation	35
Contacts flagged as changed employer since event	6
Contacts at target firm size (50–300 employees)	22
Connection requests queued via LinkedIn Automation	19
Re-engagement emails drafted by Starch for role-changers	6
Estimated manual enrichment time avoided (at 90 sec/contact)	53

After the APMP chapter event in April, you came back with 38 badge-scanned contacts in a Google Sheet. Instead of spending a Friday afternoon on LinkedIn lookups, you connected the Sheet from Starch's integration catalog, described the enrichment task, and let browser automation run through all 38 profiles overnight. By Monday morning, 35 had current titles, employers, and company sizes populated in your Starch CRM. Six contacts had changed firms since the event — the enrichment flagged them with their new employer names, and Starch drafted personalized re-engagement notes for each referencing their new role. Of the 38, 22 met your target criteria (50–300 employees, professional services or advisory verticals). LinkedIn Automation queued 19 connection requests — the other three you were already connected with — at a human pace across the week. The whole setup took about 25 minutes to configure. The 53 minutes of manual LinkedIn lookup time simply didn't happen.

Measurement

How you'll know it's working

Lead enrichment coverage rate — what percentage of pipeline contacts have current title, employer, and company size filled in

Enrichment staleness — how many contacts haven't had LinkedIn data refreshed in more than 30 days

Title/employer change rate in pipeline — early signal that a warm contact is in a new buying seat or needs a re-introduction

Connection request acceptance rate from LinkedIn Automation outbound, segmented by ICP criteria

Time from lead added to first enriched touchpoint — a proxy for how fast your outbound team moves on new contacts

Comparison

What this replaces

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

Clay

Clay is purpose-built for lead enrichment and waterfall data sourcing, but it's a separate tool from your CRM and pipeline — you're managing exports, imports, and credit budgets rather than asking a question of your existing data in one place.

HubSpot Sales Hub with LinkedIn Sales Navigator integration

Native and reliable if you're already paying for both, but Sales Navigator alone runs $900+/year per seat, the sync is read-only and limited, and you still need someone to act on what it shows you.

Manual LinkedIn lookups + copy-paste into CRM

Free and always available, but at 90 seconds per contact it costs a senior person 45–90 minutes for a typical post-event lead batch — and the data is stale within weeks.

Apollo.io

Apollo has strong contact database coverage for outbound, but Starch connects directly to Apollo from its integration catalog if you already use it, so you're not choosing — you can pull Apollo data into the same surface where your pipeline lives.

Lusha or Hunter.io browser extensions

Good for one-off lookups while you're already on a LinkedIn page; not practical for enriching a batch of 30 contacts or running a weekly staleness check across your whole pipeline.

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 actually log into my LinkedIn account to do this, or is it using a database of scraped profiles?

Starch automates LinkedIn through your browser — it navigates LinkedIn as you, at a human pace, in an independent browser session. It's not pulling from a third-party contact database. This means the data reflects what's publicly visible on each profile today, and your account activity looks like normal human browsing rather than API calls.

Will this get my LinkedIn account flagged or restricted?

The LinkedIn Automation app is specifically designed to stay within human-paced activity limits — it doesn't fire off 200 connection requests in an hour. You set the daily send volume, and Starch spaces activity accordingly. That said, LinkedIn's terms of service restrict automated activity, so there's always some account risk with any automation tool. Starch is upfront about that.

My leads are in a Google Sheet right now, not HubSpot. Does that work?

Yes. Connect Google Sheets from Starch's integration catalog; the agent queries it live when enrichment runs. You can also describe a custom CRM to Starch and it will build one that imports your Sheet data directly, so you're not managing a spreadsheet as a long-term system of record.

What fields can Starch actually pull from LinkedIn profiles?

Whatever is publicly visible on the profile — current title, current employer, location, a visible employee count if the company page shows it, recent posts or activity dates, and connection degree. It can't access data behind LinkedIn's private API, and accuracy depends on how up-to-date each person keeps their own profile.

I already use HubSpot. Do I have to move to a new CRM?

No. Starch syncs your HubSpot contacts, companies, and deals on a schedule. You can keep HubSpot as your system of record and use Starch to add enrichment, answer pipeline questions, and run automations on top — without migrating anything.

Is Starch SOC 2 certified? We sometimes handle client data in our pipeline.

Starch is not SOC 2 Type II certified today. If your firm has data handling requirements from enterprise clients that mandate SOC 2 compliance, that's worth weighing. It's on the roadmap but not available yet, and we'd rather you know that upfront than find out after you've signed up.

How often does the LinkedIn enrichment refresh automatically?

As often as you set it. A typical setup runs a weekly check on contacts who haven't been refreshed in 30 days. You can also trigger a one-off enrichment run manually — for example, right before a proposal call — by asking Starch to re-enrich a specific contact.