Ivan Dimitrijevic

Demand Gen Strategist & Content Maven | Elevating B2B with Engaging Content for Traffic, Engagement & Conversions

Greetings! Welcome to where strategy meets storytelling. 

I'm a growth marketing strategist with a flair for demand generation. A former chess pro turned digital media maven. Did someone mention the 'GIF master' of Dark Social? Yes, that's me!

With the hat of an entrepreneur & CEO, I deeply resonate with the challenges B2B brands face today. From curating engaging content to closing critical deals, my expertise navigates the entire spectrum.

🔗 Connection ➡️ Audience ➡️ Community

That's my mantra! And from there, I accelerate growth. Forget traditional leads. MQLs are passé. Dive into the era of Dark Social and robust Pipeline Conversions.

What can I offer? 

🎯 Training your team 
🎯 Strategic brand-building 
🎯 Building efficient processes
🎯 Quick wins & target achievements

Yearning for a significant impact? 
Desire exponential growth in the coming year? 

Let’s strategize. 📞

Beyond my professional pursuits, you’ll find me actively blogging, sharing insights on everything from marketing and startups to random musings that ignite my curiosity. A self-proclaimed geek, the thrill of a new project or newfound knowledge excites me to no end.

Long-term, sustainable business growth is not just a dream; it's a possibility waiting to be realized. I'm here to transform that into reality by architecting a digital media fortress around your business.

Ready to embark on a growth journey? 
Let's converse! 🚀

Always eager to connect, learn, and grow. 
Reach out anytime. 📞

Member

RevGenius is a group of revenue-generating sales and marketing professionals brought together to learn, share, support, and grow with each other.

That’s technology at its best. Not hype. Not “disruption.”

A real upgrade to a real human life.

Color vision deficiency affects ~8% of men and ~0.4–0.5% of women. 
Those “magic” glasses work by filtering specific wavelengths so red/green signals don’t overlap as much, your brain finally gets cleaner contrast. 

Now zoom out.

AI is the next pair of glasses.
Not for your eyes. For your decisions.

The problem: most people use AI like a toy.
Or worse… like a shortcut to look smart.

Meanwhile, 75% of knowledge workers already use AI at work. 

So the advantage isn’t “using AI.”
It’s using it to see what you were missing.

Here’s the practical play (for ordinary life + business):

➡️ Spot patterns you can’t see.
Feed AI your notes, chats, customer calls → ask: “What’s the repeating pain?”

➡️ Make better choices faster.
Ask: “Give me 3 options + risks + what I should measure in 7 days.”

➡️ Turn confusion into a plan.
“Explain this like I’m 12. Then give me a checklist.”

➡️ Protect your attention.
AI summarizes. You decide. (Stop drowning in inputs.)

➡️ On LinkedIn: scale clarity, not noise.
AI helps you draft. You add proof, taste, and truth, because trust still wins B2B. 

Bold prediction: 
AI will feel less like “software” and more like glasses.
Normal. Constant. Invisible.

And the people who win won’t be the loudest. 
They’ll be the clearest.

If you want to use AI + LinkedIn to build real trust and pipeline (not just posts), that’s what my LinkedIn Power Surge builds: offer + content + comments + DMs → pipeline.

DM me for details. Let’s TALK!

I build LinkedIn-led demand engines (AI + Dark Social) | Strategy → Content → Community → Pipeline

Most salespeople don’t need more leads. They need fewer lies in their pipeline.

That “old school salesman” vibe is real:
We waste weeks on people who were never going to buy. 
Then we call it “nurture.”

Here’s the uncomfortable truth:

LinkedIn can hand you volume (Lead Gen Forms average 13% conversion vs 4.02% for landing pages). 

Volume without qualification = a calendar full of “nice chats.”

So qualify fast.
3 questions. First 3 minutes.

What are you using now?
What’s broken about it?
What does it cost if it stays broken?

If they can’t answer #3, there’s no urgency.
Move on.

Now the AI part (the smart way):

➡️ Pre-qualify before you DM.
Ask AI to scan their profile + company + recent posts and answer:
“Are they ICP? What initiative are they on? What would trigger urgency?”

➡️ Turn the 3 questions into a “DM ladder.”
Message 1 = context + 1 sharp question.
Message 2 = confirm pain.
Message 3 = cost-of-inaction.

➡️ Score leads, don’t vibe-check them.
Fit (1–5) + Pain (1–5) + Urgency (1–5) + Access (1–5).
<12 = park it. 12–16 = nurture. 17+ = call.

➡️ Let AI do the admin, not the selling.
Gartner found GenAI can save 4.11 hours/week for desk-based workers. 
Use that time to have better conversations, not more conversations.

And remember: trust is the real filter.

LinkedIn + Ipsos found 94% of marketers say trust is the #1 factor for B2B brand success. 

No trust = no deal. 
No matter how “qualified” the CRM says they are.

Bold prediction for 2026:
AI will make spam faster.
The winners will qualify like surgeons… and sell like humans.

If you want a system for LinkedIn that builds pipeline (offer + content + comments + DMs → meetings), that’s what my LinkedIn Power Surge (From Zero to Hero in Half a Year) builds.

DM me for the details. Let’s TALK!

Most founders “read” LinkedIn like a bedtime story. Slow. Linear. And they miss the plot.

Average adult reading speed is ~238 WPM. 
Comprehension starts to drop significantly once you reach speeds of around 400 WPM. 

That speed-reading video is the perfect metaphor for business.

Because in 2026, your problem isn’t a lack of information.
It’s a lack of signals.

And yes, AI can help you “speed read” your market.

But only if you stop using it to create more noise.
(Also: 75% of knowledge workers already use AI at work. The edge is how you use it.) 

The AI × Signal Reading playbook:

➡️ Define your 5 signals (not metrics):
Intent, Timing, Budget, Authority, Pain.

➡️ Build a Signal Inbox:
20 target accounts + 20 keywords + 5 competitors.
(Posts, comments, hiring, product updates, partnerships.)

➡️ Chunk, don’t scroll:
Copy 10 links / screenshots into AI and ask:
“Group these into themes. What changed? What’s urgent? What’s repeatable?”

➡️ Turn signal → action in 60 seconds:
“Draft 1 comment + 1 DM opener + 1 post angle from the strongest signal.”

➡️ Keep the human layer:
AI finds patterns. You add taste, proof, and context because trust wins B2B. 

Bold prediction for 2026:
AI will flood LinkedIn with content.
The winners won’t “post more.”
They’ll detect faster and respond smarter.

If you want that system (signal → content → comments → warm DMs → pipeline), that’s what my LinkedIn Power Surge builds.

DM me for the details. Let’s TALK!

Your LinkedIn is a backyard. Right now, most of them look like an abandoned Airbnb garden.

And then you wonder why leads don’t “just happen.”

That backyard-makeover video is the perfect metaphor:

They didn’t just add more furniture. Or plants.
They first removed the chaos. 
They burned the surface.

Then they designed the path.

That’s the 2026 LinkedIn game.

The B2B pain point:
Most teams use AI to post more.
To be found faster and filter out noise.

But trust is the real currency (94% of B2B marketers agree). 
And you can’t build trust with a messy profile and a junk feed.

Also: GenAI is already saving desk workers ~4.11 hours/week. Use that time to fix your “digital storefront,” not to doom-scroll. 

The AI × LinkedIn “Makeover” blueprint:

➡️ Step 1: Run a profile audit with AI (10 mins)
Prompt: “Act as my ICP. What’s unclear? What proof is missing? What keywords should be here?”

➡️ Step 2: Rewrite for clarity, not poetry
Headline = whom you help + outcome + proof hook
About section = pain → promise → proof → CTA
(No fluffy “passionate.”)

➡️ Step 3: Upgrade the ‘trust signals’
LinkedIn says a profile photo can drive up to 21x more views and 9x more connection requests. 
Your banner, Featured, and 3 case bullets do the rest.

➡️ Step 4: Clean the feed like you’re cutting weeds
Unfollow or mute the noise. Train your algorithm. 
Your feed is your inputs. Your inputs become your outputs.

➡️ Step 5: Use AI to summarize signals daily (instead of scrolling)
Prompt: “Summarize my last 20 saved posts into: trends, buyer objections, winning angles, and 5 post ideas.”

Bold prediction for 2026:
The feed will be 10x louder.
AI will flood LinkedIn with “fine” content.

The winners won’t be the ones who post the most.
They’ll be the ones with the cleanest profile, sharpest positioning, and best signal filtering.

If you want to do this fast (and with a system), that’s what LinkedIn Power Surge is for:
profile + content + comments + DMs → pipeline in 6 months.

Follow me for more.
Let’s TALK.

Chatbots were a warm-up. The real AI war is about agents.

Because agents don’t just talk.

They do: click, buy, book, code, deploy.
And the race just got louder:

OpenAI just brought in OpenClaw’s creator to lead next-gen personal agents, while OpenClaw moves to a foundation and stays open. 

At the same time, Anthropic is publishing playbooks on how to build effective agents and how to engineer context so they don’t go rogue. 

If this feels like an arms race… it is.

But not a “model vs model” race.
It’s a race for who runs your workflows.

And Silicon Valley nailed the nightmare years ago:
Pied Piper realizes their system can quietly erase privacy… so they choose to kill it. 

That’s the B2B pain point today:

Most teams want “agents”… but they don’t have governance.
Meanwhile, AI adoption is already mainstream: 75% of knowledge workers use AI at work. 

And trust is still the currency: ~94% of B2B marketers say trust is the #1 factor in brand success. 

So here’s the play (useful, not hype):

➡️ Start with “agent jobs,” not tools.
Pick 3 workflows: research, content ops, outbound, customer support.

➡️ Give agents a leash.
Permissions, audit logs, sandboxes, “human approve” for external actions.
(Companies are already banning risky agent tools for security reasons.)
 
➡️ Measure like a CFO.
Time saved, cycle time, error rate, meetings booked.

➡️ Build the trust layer.
AI can scale output. Only humans can scale credibility.

Not-so-obvious: agents will flood LinkedIn with “good enough” content and spammy DMs.

The winners will be the brands that run signal → proof → conversation.

Bold prediction for 2026–2028:

You won’t compete on content volume.
You’ll compete on speed of iteration + safety + trust.

If you want a system that uses AI without becoming noise (offer + content + comments + DMs → pipeline), that’s what my LinkedIn Power Surge builds.

DM me for the details. Let’s TALK!

On LinkedIn, it looks like everyone uses AI all day. In real life? 

Most teams are still “testing it.”
No workflows. No rules. No ROI.

Remember the viral meme?
We're just a tiny red dot on the map of all humanity.

Funny meme.
Also… a dangerous bubble.

2024: Prompt engineer.
2025: Vibe coder.
2026: Master of AI agents.
2027: Unemployed.

Yes, adoption is real: 
75% of knowledge workers say they use AI at work. 

But here’s the punchline: 
The productivity gains often collapse at the team level when nobody orchestrates it. 

So we get two camps:

Camp 1: “We’re behind, we’re doomed.”
Camp 2: “We’re ahead,” because they renamed themselves “AI something.”

Both are wrong.

The winners won’t be the best prompters.
They’ll be the best operators.

And while LinkedIn gets flooded with low-signal AI content, trust becomes the differentiator: 94% of B2B marketers say trust is the #1 factor in brand success. 

The play (to stay relevant without the hype hangover):

➡️ Stop learning tools. Start learning workflows.
Pick 3 money motions: pipeline research, outbound personalization, and content repurposing.

➡️ Build “recipes,” not prompts.
Inputs (ICP + offer + proof) → constraints → examples → “what good looks like.”

➡️ Create one team standard.
Same prompt library. Same QA checklist. Same naming. Same storage. (Or you get chaos.) 

➡️ Measure outcomes, not excitement.
Time saved is nice. Pipeline created is better. (Gartner: 4.11 hours/week saved can vanish if you don’t systemize it.) 

➡️ Use LinkedIn as the proof channel.
Post your thinking. Show receipts. Teach what you learn. Trust compounds. 

Bold prediction: “AI job titles” will keep changing.

But the real split will be simple:
People who can direct AI → and people who get directed by it.

Want the system to do this fast (and safely)?

That’s what my 6-Month LinkedIn Power Surge builds: strategy + AI workflows + content + comments + DMs → demand.

Follow me for more.
DM me, and I’ll send details. Let’s TALK.

Emma Lo

Customer Success & RevOps Leader | Podcast host of CS In Focus | Help businesses accelerate in customer-led growth

Results-driven Customer Success executive and SaaS startup founder with 13+ years of experience in tech and e-commerce. Passionate about leveraging data-driven strategies to boost customer satisfaction, retention, and revenue growth.

💼 Career Highlights:

- Founded and scaled customer success teams, increasing NPS from 79% to 89%
- Drove $35M+ in revenue, achieving 40% increase in retention
- Built and led high-performing remote teams across customer success, marketing, and operations
- Developed strategies resulting in $7MM ARR from enterprise B2B accounts
- Maintained 119% Net Revenue Retention with zero logo churn

🚀 Expertise:

- Customer Success Strategy & Operations
- Revenue Growth & Retention Optimization
- SaaS Startup Leadership & Scaling
- Cross-functional Team Management
- Data-Driven Decision Making


🔧 Tech Stack:

ChurnZero, Gong, Salesforce, Zendesk, HubSpot, Atlassian, and more

Combining a unique background in healthcare research with tech leadership, I bring an analytical approach to solving complex business challenges. 

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🤝 Let's connect if you're interested in:

- Customer-centric growth strategies
- SaaS scaling and operations
- Revenue optimization in tech startups

Always open to discussing new opportunities and sharing insights on customer success and revenue growth in the tech industry.

#CustomerSuccess #SaaS #RevenueGrowth #StartupLeadership

Manager, Customer Success

- Organize Quarterly Customer Advisory Board
- Implement digital customer success strategies to provide scalable support.
- Utilize data analytics to understand customer behaviour and needs.
- Ensure effective onboarding and adoption of Noibu's platform by customers.
- Proactively identify risks and reduce churn.
- Enhance customer satisfaction and retention through targeted digital interactions.

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The Battle

Ivan Dimitrijevic

Emma Lo 🧩

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The Battle

Ivan Dimitrijevic

Emma Lo 🧩

Followers

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Engagements

Likes

Performance Score.css-goub6s{font-size:var(--chakra-fontSizes-md);font-weight:500;color:var(--chakra-colors-gray-600);display:block;margin-top:var(--chakra-space-1);}Ivan Dimitrijevic's LinkedIn Performance

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Performance ScoreIvan Dimitrijevic's LinkedIn Performance