1. The 4 Biggest Annoyances on LinkedIn
Thanks for your feedback, and now I’ll focus on addressing those LinkedIn challenges.
Linkedin polls
Research indicates that Instagram-style photos on LinkedIn, while often leading to higher engagement, can still disrupt the platform’s professional focus. LinkedIn users primarily seek content centered around business, networking, and career development, so highly stylized, personal images may feel out of place despite their popularity. Even with increased interaction, these visually driven posts don’t always align with the value-driven, informative content typically expected on LinkedIn. The informal tone and aesthetics of Instagram-style photos can sometimes undermine the credibility of individuals or brands, causing them to be perceived as less professional. As a result, while engagement may rise, the overall quality of professional interactions on LinkedIn may be negatively impacted.
VIDEO shorts - only on mobile
Even though video content can sometimes be perceived as annoying, here's a guide on how to use them effectively and what the costs are. It's becoming a big thing on LinkedIn, and those who learn to use them early will have a competitive advantage.
How to Target Your Short Video on Effectively:
1. Know Your Audience – Pick specific industries, size of the company, active on linkedin, job roles, or locations. A/B test! Be precise!
2. Choose the Right Campaign Goal – Brand awareness, lead generation, or engagement.☯️ Structure and audience size are crucial to campaign success. Precise targeting is key!
3. Use Demographic Targeting – Target by age, gender, industry, or interests like “Digital Marketing” or “AI Tech.”
4. Leverage Retargeting – Reconnect with users who’ve already engaged with your content.
While web retargeting has its huge limitations, Lead Gen retargeting is a strong alternative!
Buying options: • CPC (Cost Per Click): Around $5 to $7 per click. • CPM (Cost Per 1,000 Impressions): Typically $6 to $9. • CPV (Cost Per View): Ranges from $0.10 to $0.30 for each view (minimum 2 seconds watched). • CPL (Cost Per Lead): Usually ranges between $15 to $350 per lead.Many factors are in it: • Audience targeting (specific roles, industries, regions, etc.) • Competition within your industry • Ad quality and relevance • Budget settings and bidding strategies
Inbox
With Lead Delta, you can tag conversations, helping you better organize your messages and improve clarity in your LinkedIn inbox. Problem solved :-)
CPC CPM CPV
It's important to understand that viewing LinkedIn's CPC, CPV, and CPM as annoyances is a perspective often held by beginners. In sectors where precise targeting is essential, LinkedIn's Cost Per Lead (CPL) can actually be comparable to Facebook Ads. However, based on my research, the quality of the leads you generate on LinkedIn can be up to 5 times higher due to the platform’s highly accurate targeting capabilities. This precision makes LinkedIn an invaluable tool for industries that require reaching niche audiences with specific job roles and professional interests.
TIPS AND TRICKS
Lead Gen Openers: Create for: Leadgen Forms Open & Submit , Lead Forms Submits, Then Target 'Opens & Submits' and EXLUDE 'Submits'
VIDEO ADS: Can't target a View' so next best options is 25% view on short video (8 seconds)
2. Best Sales Prospecting Tools and Software
I've done the legwork and tested all the top prospecting tools, so you don't have to! After going through each one, I’ve found the standout solutions—Dripify and LinkedIn Sales Navigator—are the clear winners. Let me save you time by sharing the best options that will boost your prospecting game and streamline your outreach.
Here are the names of the prospecting tools mentioned:
Dripify
LinkedIn Sales Navigator
Cognism
AeroLeads
Gramto
G2
Active Campaign
Engagebay
Close
Lusha
Gong
Chorus
Dialog Tech
SalesLoft
DocSend
Voila Norbert
Hunter
FindThatLead
Overloop
MailTester
Skrapp
Datanyze Insider
Mention
Vainu
Detective by Charlie App
CrystalKnows
Owler
Demodesk
ClaraLabs
Boomerang
Rebump
Bananatag
HubSpot Sales
Yet Another Mail Merge
GlobalMeet
Dialpad
My WINNERS ARE: DRIPIFY and SALES NAVIGATOR
Dripify Automate LinkedIn prospecting with powerful drip campaigns, saving time while scaling outreach. Manage your team’s performance effortlessly and watch conversions soar.
LinkedIn Sales Navigator Find high-quality leads with advanced filters and real-time updates. Build stronger connections and engage with prospects at the perfect moment.
From Blueprints presentation: Systems, integration&Connections
When mapping systems, each client has different needs, and it makes sense to tailor the approach accordingly. Personally, I integrate LinkedIn with around five different systems, with Zapier as the main connector. Zapier's power lies in its ability to connect with almost all advertising platforms, marketing automation tools, ERPs, and cloud services. This level of integration creates a seamless workflow, saving time and maximizing efficiency across multiple tools. If you’re looking to optimize your processes, this setup could offer a huge competitive edge!
TIPS AND TRICKS
1. ChatGPT for SQL Query Assistance
Leverage ChatGPT for quickly generating and optimizing SQL queries. Whether you're stuck on complex joins, need help with syntax, or just want to validate a query, ChatGPT can assist in real-time, making SQL coding faster and more efficient.
2. Amazon CodeWhisperer for Coding Suggestions
For those using AWS, CodeWhisperer is an AI-powered code completion tool that helps write and improve your code faster. It works well with multiple languages and is particularly useful when you're coding within AWS environments, ensuring efficiency and security compliance.
3. GitHub Copilot for Auto-Completing Code
Copilot, integrated into Visual Studio Code or JetBrains IDEs, helps auto-complete your code as you type. Whether you’re working in SQL, Python, or JavaScript, Copilot learns from your coding habits and generates suggestions, speeding up the development process.
4. Zapier for Seamless Integrations
Zapier is an essential tool for automating workflows between apps like LinkedIn, Salesforce, HubSpot, and thousands of others. Use it to automate repetitive tasks like lead nurturing, email campaigns, or data syncing between platforms, saving you time and improving accuracy.
3. Best LinkedIn Analytics Tools
I’ve done for you also the heavy lifting when it comes to LinkedIn analytics
Linkedin native
Shield
Dripify
Whatagraph
HotSuite
Keyhole
RivalIIQ
Social Status
Social Pilot
DrumUP
As part of my ongoing effort to optimize LinkedIn strategies, I combine LinkedIn Native Analytics, Shield, and Dripifydata, alongside LinkedIn Ads performance, and streamline all of this into Supermetrics. This integration enables me to pull insights from multiple sources into a single, centralized dashboard. By doing so, I can effectively track engagement, measure the success of both organic and paid campaigns, and continuously refine my approach based on real-time data.
The final step in this process is visualizing the data in Tableau, which allows me to create dynamic, insightful reports that offer a clear picture of performance across all Linkedin's areas.
Shield post report example
Check out the detailed data I have on companies interacting with my posts, including their occupation and region, which isn't visible on the main screen. Additionally, there's now an hour-by-hour report available for even more granular insights.
Metrics that I have been reviewing:
Impressions
Likes
Comments
Shares
Engagement Rate
Follower Growth
Article Views
Click-through Rate
In addition to these basic metrics, Shield also offers advanced ones like speed of likes, speed of impressions, and speed of comments. These are crucial because the LinkedIn algorithm tends to favor creators who have an engaged audience that interacts immediately after a post is published. You can start by encouraging your employees to engage, but keep in mind that the impact of their engagement may be reduced by up to 70% due to the same IP address, based on my data.
TIPS AND TRICKS
For the beginners is absolutely ok if they use Linkedin Native export to Google sheet and For beginners, it’s totally fine to start with LinkedIn Native Analytics and export the data to Google Sheets. This gives you up to 365 days of historical data, which is a great starting point for understanding your content performance and tracking key metrics. It’s a simple but effective way to get the insights you need without overcomplicating things!
4. TOP 2 Creators on Linkedin / this month
top 2 content creators
5. Top Post from People Who Inspire Me
People often ask why I don’t have a lot of likes and comments. The answer is simple: I don’t focus on vanity metrics because I’m targeting the right people—a niche audience that values my content. They’re happy, and that’s what matters. In fact, I still generate nearly 100,000 organic impressions per month, which is fantastic. But this particular post captures the message better than I ever could, and I found it among thousands of others.
top post of the month
top post of the month
Richard van der Blom Thank you!
6. AI - CANVAS - New way of working with ChatGPT
Even though my focus is strictly on LinkedIn, I wanted to share some insights on the latest hot topic in AI.
AI - canvas
Canvas (Workspace) is a fresh interface for working with ChatGPT on writing and programming projects.
Next to the usual chat window, a separate workspace opens up for writing and coding. You can manually choose the Canvas interface from the model options, but sometimes it switches to the Canvas window on its own. If you type "use canvas," it will open up automatically as well.
Canvas for Writing
You can adjust the length of your writing with a simple slider—whether you need something shorter or more in-depth.
Highlight any specific sentences and ask ChatGPT to tweak them, for example, “make this sound friendlier” or even add some emojis.
Want the whole thing in a different language? No problem—ChatGPT can rewrite it.
Plus, there’s a handy search option that displays reports directly on the workspace.
Canvas for Programming
Hit the "add comments" button, and ChatGPT will automatically insert line-by-line documentation, explaining the code in plain language.
Highlight a section of code ChatGPT wrote, and you can ask for explanations or more details on it.
There’s also a new "review code" button that suggests edits to both generated and user-written code. You can approve, adjust, or reject the changes. If you approve, ChatGPT jumps right in to fix any errors.
Editable workspaces are already gaining traction—Anthropic introduced them with Artifacts in June/August, the popular Cursor programming assistant is already using them, and Microsoft recently rolled out shared workspaces in Copilot Pages.
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