How a Bengaluru-Based Fintech Startup Reached Equity-Holding Professionals on LinkedIn — anchors
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anchors Case Studies Fintech × anchors
Case Study — LinkedIn Influencer Marketing

11 creators. ₹280 CPM.
The most targeted LinkedIn campaign we've run.

The brand's audience isn't everyone — it's the Indian tech professional holding company stock who hasn't figured out what to do with it. Getting in front of that person required precision, not volume.

Fintech B2C LinkedIn Influencer Image + Text UTM Tracked ~1 Month Campaign
₹280
CPM delivered
0.9%
Click-through rate
₹31
Cost per click
11
Creators live
01 — Brand

A fintech built for a
very specific kind of professional.

A Bengaluru-based fintech startup in the wealth management space — built specifically for professionals who receive RSUs — Restricted Stock Units — as part of their compensation. Think: engineers and PMs at Google, Microsoft, Amazon, or any company that pays employees in stock. This cross-border wealth management platform helps professionals manage, diversify, and grow that equity across borders, with zero forex costs.

Their target user isn't a broad demographic — it's someone with company stock sitting in an account they haven't fully figured out yet. That specificity shapes everything: the product, the pricing, and most importantly, how they needed to reach people. You can't run a broad campaign for a product like this. You need to find the right person, in the right context, through a voice they already trust.

This next-gen wealth platform for tech employees came to anchors wanting signups — and knowing that getting the targeting right was the only way to make that happen.


02 — Objective

Drive signups from the
right kind of professional.

The target audience was narrow by design: tech professionals in India who hold RSUs — engineers, PMs, analysts at companies like Google, Microsoft, and Amazon who receive company stock as part of their comp but haven't had a clear way to manage it. A digital wealth management platform for globally mobile tech professionals, the brand was solving a real problem — but only for a very specific person.

The primary goal was platform signups. Not impressions. Not brand awareness as a vanity metric. The brand wanted to measure how many people actually clicked through and took action — which meant full UTM tracking on every post, so they could attribute performance back to individual creators.


03 — The Challenge

When your audience is a niche within a niche,
every impression counts.

RSU holders are not a mass-market audience. They're a specific slice of the working population — tech professionals at companies that offer equity compensation. Reaching them with a scattershot campaign would push up CPM and push down conversion. The targeting had to be precise from day one.

Problem What That Meant
Audience quality over volume Reaching 10,000 wrong people is worse than reaching 1,000 right ones. Broad reach campaigns don't work for a product this specific.
Creator selection is everything The creators had to either be RSU holders themselves or have audiences full of people who were. Follower count meant nothing here.
Trust as the entry barrier People don't hand over equity management to a brand they've never heard of. The channel needed to build credibility, not just visibility.
Attribution from click to signup The goal was signups — not awareness. Every post needed to be trackable so the brand could see exactly what was working.

04 — How anchors Made It Possible

The targeting problem is a
platform problem.

Finding creators whose audiences are full of RSU holders isn't something you can do manually. You can't tell from a LinkedIn profile whether someone's followers are Big Tech engineers or college students. That's the core of what anchors solves — and why it was the right platform for a wealth-tech startup serving global tech professionals like this one.

anchors filters creators by audience composition, not surface-level niche labels. Job role, seniority, industry, location — the same filters you'd use to run a LinkedIn ad, applied to creator selection instead. That meant anchors could identify creators whose followers were specifically senior tech professionals at companies known for equity compensation. Not broadly "tech people." The right kind of tech people.

Audience Filters
Job role, seniority & location — applied to creator audiences

anchors filters creators by who their followers actually are — not what the creator posts about. This cross-border wealth management platform needed to reach senior engineers and PMs at equity-granting companies. The platform found them.

AI Creator Match
Shortlisted in hours, not weeks

anchors is a tech platform. The AI surfaces the best-fit creators instantly, with estimated reach and projected CPM visible before any commitment. No agency calls. No spreadsheets. The brand had a shortlist fast.


05 — What anchors Did

11 creators. AI-matched.
Every post tracked end-to-end.

anchors identified 11 creators whose LinkedIn audiences were the closest possible match to the brand's target user. Not creators who talked broadly about finance or investing — creators whose followers were working in tech at companies that offer RSUs, or who were themselves equity-compensated professionals. That level of fit doesn't come from a spreadsheet. It comes from audience-level data.

1
Nano Creator
Tight, high-trust audience
4
Micro Creators
Niche credibility in tech & finance
6
Macro Creators
Broader reach, RSU-adjacent audiences

The tier mix was deliberate. Macro creators pushed reach into the right professional communities. Micro and nano creators delivered the engagement and trust that actually move someone to click. Neither layer alone gets the job done.

AI Match
Creator selection based on audience fit, not follower count

anchors' AI matched creators based on who their followers actually were — not their niche label or bio. That meant filtering for professionals with RSU exposure: Big Tech employees, senior engineers, finance-adjacent tech audiences.

Format
Image + text — chosen for conversion, not convenience

The brand came in with a clear view: image + text consistently outperforms other formats for conversion-focused LinkedIn campaigns. It delivers the message in-feed without asking the audience to do extra work.

Tracking
UTM links on every post for full attribution

Every post carried a unique UTM link — so the brand could track which creators drove clicks and signups directly from their own dashboard. Clean data, no guesswork.

Timeline
Staggered posts over ~1 month

Rather than all 11 creators going live at once, the campaign was staggered — keeping the brand visible in the right feeds consistently across the month, not just for a day or two.


06 — Results

₹280 CPM. 0.9% CTR.
Targeting that actually worked.

₹280 CPM is the headline. For context: LinkedIn Ads on a niche professional audience typically run ₹800–1,500 CPM. A ₹280 CPM for a digital wealth management platform for globally mobile tech professionals — targeting RSU holders, one of the most specific professional audiences on the platform — means the content landed with the right people. When targeting is off, CPM climbs because the platform is working harder to find relevant viewers. This number says it didn't have to.

₹280
Cost per 1,000 impressions
vs ₹800–1,500 typical range for niche fintech
0.9%
Click-through rate (CTR)
~2× the LinkedIn Ads benchmark of ~0.44%
₹31
Cost per click (CPC)
Real professionals clicking through to sign up

A 0.9% CTR is roughly double the LinkedIn Ads benchmark of ~0.44%. The gap isn't a platform trick — it's what happens when the person posting is someone the audience already follows and trusts. That trust doesn't show up in an ad. It only comes through a creator.

Creator posts also stay live on LinkedIn permanently — and LinkedIn's domain authority means they surface on Google search well after the campaign closes. The clicks don't stop when the campaign does.


07 — What We Learned

For niche fintech,
precision beats reach every time.

Most campaigns optimise for scale. This one optimised for fit — and the results validated that call. For a product like this, broad reach would have wasted budget on impressions that never had a chance of converting. The ₹280 CPM and 0.9% CTR are proof that the audience composition was right from the start.

Your audience is on LinkedIn.
Let's reach them right.

Precise targeting. Performance-based. Real data from day one.

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