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Introduction: The Real Problem With LinkedIn Prospecting
Account-based prospecting sounds simple in theory: define your ideal persona and go find them. In practice, most teams hit a wall the moment they open LinkedIn.
Try searching for these three high-value scenarios:
- CXOs of Enterprises in Singapore (1,000+ Employees): Where regional seniority markers like “Managing Director” don’t always trigger a standard “C-Suite” filter.
- Founders of High-Growth UK Fintech Companies: Where “high-growth” is a signal (hiring, funding, tech adoption) that doesn’t exist as a searchable checkbox.
- Partners of VC Firms in Southeast Asia (SEA): A “ghost persona” where non-standard titles and firm types lead to endless noisy results.
LinkedIn can’t translate any of these into a native search. Even with Sales Navigator, you’re forced into title guessing and manual filtering. This is a structural limitation of filter-based search. Gro solves this by shifting from “Keyword Matching” to AI-Driven Persona Discovery.
What Is Account-Based Prospecting (And Why Filters Break It)
Account-based prospecting is about targeting specific people based on influence and intent. Traditional tools are built on static fields: Titles, Company Size, and Geography.
But real personas are defined by:
- Context & Growth Stage: Is the company actually scaling right now?.
- Decision-making Power: Does the title reflect the actual budget authority?.
- Ecosystem Role: Are they an active investor or a silent partner?
No Boolean query can bridge that gap at scale. Gro’s Target Agent replaces manual filtering by automatically generating the precise search logic needed to find these “unsearchable” leads across a combined pool of 650M+ contacts.
Three Personas LinkedIn Cannot Natively Find
(Target: how to find decision makers on linkedin)
- 1. CXOs of Enterprises in Singapore (1,000+ Employees):
Gro uses a Native Search Engine via Unipile to scrape live LinkedIn data in real-time. Our Target Agent identifies regional seniority markers to find the actual leaders and identifies filters with relevant job titles, company sizes and location in less than ten seconds.
2. Founders of High-Growth UK Fintech Companies:
The problem with a term like “High-growth” isn’t a filter. On LinkedIn, a pre-seed founder looks identical to a Series B scale-up founder. So,the Gro Brain analyzes signals like head count growth to identify the founders who are truly scaling. It also identifies relevant industry filters according to “fintech” to produce results without wasting time to figure out relevance manually.
3. Partners of VC Firms in Southeast Asia (SEA):
Titles like “GP,” “Managing Director,” or “Investment Lead” make Boolean strings messy and inaccurate, but Gro leverages a 1st-party curated database for Asia specifically designed to bridge these regional data gaps. It identifies the VC firm first, then maps the partners with a single click without manual scramming.
How to Find Decision-Makers Without Sales Navigator
Modern account-based prospecting requires persona-translation, not better filters.
With Gro, you define your persona once in plain language (e.g., “SEA VC Partners”) using the AI-driven ICP Canvas. The Target Agent then does the heavy lifting, converting that description into complex search logic to surface relevant decision-makers in one click.
Using Sales Intelligence Tools for Persona-Based Discovery
Sales intelligence tools only work when they move beyond enrichment into intent-aware discovery. Gro’s Social CRM unifies this discovery with your outreach, ensuring you aren’t just finding leads, but managing them in a single platform that “compounds intelligence with every interaction”.
Why Persona-Based Search Replaces Filters
LinkedIn search isn’t designed for how modern GTM teams think. If your ideal customers can’t be described by simple filters, you don’t need better Boolean logic, you need a system that understands Personas.
Account-based prospecting at scale starts with Gro.
