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LinkedIn – Trader Detection

Identify individuals posting about trading on LinkedIn and build familiarity through consistent engagement before introducing trading performance tools.

Find leads and run enrichment

Google Maps

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Apply this use case

Use case viewpoints

Channels used:

No channels specified

Function targeted:

Sales Team

Expected response rate:

10%

Based on performance of similar past campaigns.

Predicted conversion rate:

2%

  • 1000 messages → 30 replies → 1 conversion (0.1%)
  • Typical conversion rate for campaigns with similar targeting and content.

Company sizes targeted:

1-10 Employees
11-20 Employees
21-50 Employees

Number of sequence steps in this use case

New leads added again
Find potential leadsSTEP 1

Find Trading-Related Posts on LinkedIn

Source: LinkedIn

Identify posts containing keywords related to trading such as forex, futures, day trading, charts, or market analysis.
EnrichedSTEP 2

Find Decision Makers on LinkedIn

Source: LinkedIn

Identify relevant stakeholders such as compliance heads, security leaders, or executives using LinkedIn.
Use formulaSTEP 3

Automate Connections, Liking and Commenting on Posts

Source: Sheet Formula

Engage with decision-makers by sending connection requests and consistently interacting with their posts through likes and meaningful comments.
Use formulaSTEP 4

Familiarity Signal Built?

Source: Sheet Formula

Determine when enough engagement has occurred for the user to recognize your profile.
Use formulaSTEP 5

Signal Noticed?

Source: Sheet Formula

Identify traders who are both active and repeatedly engaged with, making them more likely to respond.
Use formulaSTEP 6

Personalized Outreach Generation

Source: Sheet Formula

Generate messages or comments referencing past interactions to introduce journaling or performance tracking naturally.
Data refinedSTEP 7

Analyze and Re-run

Source: AI Insights

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