Campaign Overview

Advertiser: G LNK (glnkco.com)

Products Promoted: Glinky (AI notetaker) and G LNK Lead Gen

Placement: Conversational AI Platforms Campaign

Period: Ongoing, 2026 Markets

Targeted: Sales professionals, business development teams, and productivity-focused users globally

TL;DR

G LNK runs two distinct products through Thrad simultaneously, targeting the same broad universe of professionals but at completely different moments in their workflow. Thrad's ability to read conversational context in depth is what makes this possible: the platform knows when someone is trying to find leads manually, and when someone is drowning in post-call admin, and it serves the right G LNK product at the right moment.

1. Context & Objectives

G LNK is building a suite of AI-native tools for modern sales and business professionals. Two of their flagship products address the same user from different angles. Glinky is their bot-free AI notetaker: it connects to your calendar, sits on your calls invisibly without sending a bot into the meeting, and automatically produces clean notes, action items, summaries, and follow-up emails the moment the call ends. Their lead gen product sits alongside it, letting sales teams filter, discover, and build targeted lead lists with verified contact data.

Both products serve people who are trying to work faster and close more. The challenge was that these two needs surface at completely different moments in a person's day, and in completely different conversations. You don't go looking for a notetaker at the same time you're hunting for leads. G LNK needed a channel that could read those distinctions in real time and respond accordingly.

That's exactly what brought them to Thrad.

2. Audience & Targeting

The underlying audience for both products overlaps significantly: salespeople, founders, business development professionals, and anyone who spends a meaningful chunk of their week in calls or prospecting. But within that audience, Thrad identifies two very different behavioral signals.

The first is the lead-hunting signal. When someone is inside an AI assistant asking things like "find me SaaS companies in London with under 200 employees" or "who are the heads of sales at fintech startups in the US," they are doing lead research manually. They are spending time doing something that G LNK's lead gen product could automate entirely, and they're revealing that need in real time through the conversation itself.

The second is the productivity and workflow signal. When someone asks an AI to "write a follow-up email from my meeting notes" or "summarize the key decisions from this call transcript" or "help me prepare for my next client check-in," they are solving a problem after the fact that Glinky would have handled automatically. The pain is visible in the question.

Thrad matches each of these signals to the corresponding product without any manual setup from G LNK, and without the two campaigns interfering with each other.

3. Solution & Execution

A. The Core Insight

What makes this campaign unusual is that G LNK isn't running two separate, disconnected campaigns. They are running a unified strategy across two products, made possible entirely by Thrad's depth of contextual understanding. Most ad platforms require advertisers to define their audience in advance through demographics, interests, or keywords. Thrad operates differently: it reads what a user is actually doing in a conversation and makes placement decisions in the moment.

For G LNK, this means the same platform can identify a lead researcher mid-prospecting session and surface the lead gen product, then minutes later identify a salesperson prepping for a call and surface Glinky, all without G LNK needing to manage the targeting logic themselves.

B. Contextual Triggering

For the lead gen product, Thrad activates placements when users are engaged in prospecting-related queries: searching for contacts, filtering by role or industry, asking for company information, or trying to build outreach lists through the AI directly. The creative positions G LNK's lead gen as the smarter, faster alternative to doing this manually inside a chat window.

For Glinky, placements activate when users are managing post-call workflows: writing follow-up emails, cleaning up notes, trying to recall what was decided on a call, or preparing for upcoming meetings. The creative highlights Glinky's core promise: that all of this happens automatically, without a bot joining the meeting and without any manual effort after it ends.

C. User Flow

In both cases, the in-chat card appears as a natural extension of the response the user was already getting. For lead gen, a user researching prospects sees G LNK surface as the platform purpose-built for exactly what they're doing. For Glinky, a user piecing together follow-up actions from memory or a rough transcript sees Glinky introduced as the tool that would have handled all of it from the start. A single tap takes them to the relevant product page, already framed around the context that triggered the placement.

4. Why It Worked

Dual-product campaigns require dual-context reading. Most channels would force G LNK to choose one product to promote, or to run two entirely separate campaigns with separate budgets and targeting setups. Thrad handles both in a single managed campaign because the differentiation happens at the conversation level, not the campaign level.

The signals are behavioral, not demographic. G LNK's two target users might be the same person on different days, or even different hours of the same day. A sales rep is a lead hunter in the morning and a call-admin-avoider in the afternoon. Thrad doesn't target a type of person; it targets a type of moment, which is far more precise.

Both products benefit from the same underlying insight. The professionals using AI assistants for these tasks are revealing a gap between what they're doing manually and what a dedicated tool could do for them. Thrad surfaces that gap at exactly the right moment and points them toward the product that closes it.