Denis Acia

Co-Founder at SaasFluence | B2B Influencer Marketing for SaaS Brands

I’m Denis, Co-Founder of SaasFluence

We’re an influencer marketing agency helping B2B tech brands drive demand and visibility by partnering with LinkedIn influencers.

Currently — with over 200 influencers, we manage influencer marketing programs for B2B sales tech companies like Maildoso, Icypeas, Saleshandy, Fowla, and others.

Why We Started SaasFluence

Before SaasFluence, I ran an outbound agency, Applus Leads. Through that experience, we worked with some incredible B2B tech brands — companies with fantastic products and real value to offer. But despite outbound efforts (cold calls and cold emails), they weren’t getting the traction they deserved.

A big reason?

Their LinkedIn presence and engagement were minimal. Most had only a few hundred page followers and very little visibility in the market.

That lack of recognition made it hard to convert cold leads. Without social proof or brand mentions, prospects were hesitant to engage — especially in the highly competitive sales tech space.
What they really needed was a new approach — one that would:

1. Build credibility
2. Earn trust
3. And drive demand by establishing them as trusted solutions in the market.

That’s where SaasFluence comes in.

Our mission;
To help B2B tech brands leverage influencer marketing to drive demand, increase sales, and grow.

How We Can Help

☑ If you’re a B2B tech founder or business leader with an influencer marketing budget of at least $10K/month,
 ☑ And you don’t have the time to run campaigns or manage influencer partnerships,
We’ll handle it for you.

We’ve launched thousands of LinkedIn-sponsored campaigns, and our clients are seeing exceptional ROI.

If you’re curious, DM me and I’ll share a few of our client case studies so you can learn more about our systems and results.

Or, visit our website to explore further:
 👉 www.saasfluence.co

Lead Generation Partner - Outbound

If my team replies to my Slack messages in 30 seconds I get a little bit worried about our work.

In most agencies everybody feels a pressure to stay active so the boss thinks they are working hard. 

You feel like if you do not answer a DM immediately you might look like you are slacking off. 

But I think that culture is a mistake.

If you are answering me in 30 seconds it means you were not in the zone. You were just waiting to be interrupted. 

A brain cannot do its best work if it is getting interrupted every few minutes.

Tell your team to turn off notifications for a few hours and disappear. Go do hard stuff that requires deep thinking. 

I would much rather wait two hours for a brilliant strategy than get a "On it!" in three seconds.

Remember that you hired adults because you trust them to do the job. You do not need to watch their status bubble to see if they are sitting at their desk.

If your team is answering too fast they might be losing the chance to do their best work.

Fast reply or good work - what matters more to you?

Don't follow up with your prospects today. Trust me on this.

It is the first week of January. Everyone just got back to their desks. I know for a fact their inboxes are a total war zone right now. They have 300 unread emails. Maybe 500. 

They are stressed and they are just trying to survive the morning.

If you send them an email right now saying "just bubbling this up," you are not being a good salesperson. You are just annoyance number 301. 

I like to give people what I call Grace Week. Just give them some room to breathe. Let them delete all the junk and get back to normal life.

I am waiting until next Tuesday. When I reach out, I will tell them I waited because I knew their inbox was probably a mess. 

It shows you have some empathy. It shows you care about their sanity more than your quota.

People appreciate it when you don't act like a robot chasing a number.

Are you sending emails today or are you waiting?

I spent 3 months sending emails to SaaS founders who didn’t have a budget until I found this.

I used to spend a lot of my outbound efforts guessing. I would find a SaaS company through Sales Nav, find the CEO, and send them a pitch for our influencer services. 

Sometimes they replied. Most of the time they didn't. 

Then Matthew from Prospeo.io showed me what they built for their V2 update. It was crazy. 

I finally stopped searching for "companies" and started searching for "signals."

Here is how I use it now for Saasfluence:

→ I set a filter to only show me SaaS companies hiring for marketing roles.
→ I check the "Technographics" to see if they already use tools like HubSpot.
→ I also check "Intent Signals" to see companies that are researching Linkedin marketing.

This changes the whole game for me.

If a company is hiring a marketing leader (or other related roles), I know three things for sure:

1. They have a massive problem they need to solve.
2. They have the budget to pay for a solution.
3. My timing is perfect because they are already thinking about growth.

The data is refreshed every 7 days and 98% of the emails are verified. I don't even scrub the list anymore!

I’m moving almost all our internal searches over to Prospeo.io now because it saves me so much time on cleaning CSV files.

Swipe through the carousel to see how I set this up and the exact email template I use.

I’ll put a link in the comments if you want to try Prospeo.io yourself.

Signal based outreach

Is work-life balance just a lie we tell people so they don’t quit?

I have been looking at my own life lately and I see a pattern that makes me a bit angry. 

Every single time Saasfluence is winning and we are managing MORE clients, my health automatically goes into low priority mode.

I skip the gym and I eat whatever is near me because my brain is always on the next meeting.

Then I get tired of feeling slow and I focus on my fitness. I spend more effort on my health and I eat clean. 

And what happens? My to-do list piles up. I am not pushing the business as hard because my energy is somewhere else.

I'm starting to think you can't have every area of your life in the green at the same moment.

I see these influencers on Linkedin say "My work is my life.” If you spend 14 hours every day building a company, doesn't something else need to die?

Maybe it is your relationship with your kids or your physical health. You only have so much energy in the tank.

Does anybody here have it all figured out? Are you winning at health, money, family, and work at the same time? 

Or are we all just choosing which part of our life we are going to neglect this week?

(Please no AI comments below. I want to hear from humans.)

I used to spend 4 hours a day on LinkedIn trying to grow. Now I use these 4 tools to do it in 45 minutes:

Trigify.io → I use this to find social signals. I don't message random people anymore because that is a waste of time. 

I find people who are leaving comments on my favorite niche thought leaders. These people are already interested in what I'm interested in. Higher chances of converting them.

Extrovert → I used to spend forever thinking of what to say on 20 different posts every day. This tool helps me stay active in the comments. 

It keeps my name visible where my customers are hanging out and I don't lose my mind doing it.

MagicPost → When my brain feels like a dry sponge and I have no ideas, I open this. I don't let it write for me. That is a mistake. 

I use it to kickstart my drafts. I can get a post done in 30 minutes instead of an hour of staring at a blank screen.

Aimfox → This is the heavy lifter for the DMs. Once the other three tools have warmed up my profile and people recognize my name, I use Aimfox. 

It handles outreach at a scale I could never do by hand.

The point is not to use bots to manage my Linkedin. These tools just let me be more human faster. 

I spend less time on boring stuff and more time talking to people who can grow the business.

How much time do you spend on LinkedIn every day?

I have a confession: I am not passionate about B2B influencer marketing.

Do not get me wrong. I love my team and our clients say we do great work…

But I do not wake up every morning dreaming about creator briefs or looking at invoices for software.

I think gurus tell founders a big lie. They say you must be obsessed with your product. 

You must live and breathe your niche every second and I think that’s totally unnecessary.

What I am obsessed with is getting our clients a win. I like when a founder tells me their sales calls are finally converting because of the work we did.

I love the game of building a company. I love finding great people and making a plan and seeing it succeed. The "thing" we sell is just the car we drive to get to the goal.

It is okay to not be in love with the tool. It’s okay to just be in love with the results you get for people.

We shame founders who are not obsessed with their specific niche and it just makes people feel like they are doing it wrong. It’s fine to just love the win.

Are you in love with the product or are you in love with the game?

I found a way to stop the "Day 1" onboarding chaos with one single link.

Do you send an email asking for your client's logo? Then another email with a Google Form? Then another one asking them to book a kickoff call?

The client is already overwhelmed and you haven't even started the work yet.

We stopped doing that. We use a tool called Flowla and we create one "Onboarding Room" for everything.

Here is exactly what we put inside:

→ A 30-second welcome video:

Record it right there in the room. Say "Welcome! Everything you need to get started is right here."

→ A checklist:

They see a list of what they need to do and what we are doing. They know exactly what is happening next so you never have to send "just checking in" emails.

→ An intake form:

We embed a form in the page. No PDFs to download. They fill in their KPIs and their target audience and we get it instantly.

→ A calendar link:

Our Cal(dot)com link is sitting at the bottom. They book the kickoff call as the final step.

→ An upload section:

We ask them to drag and drop everything into the room. It keeps our inbox clean.

We send one link. 

The client feels like they hired a professional team instead of a messy freelancer. It sets the tone for the whole relationship.

Do you have a smooth onboarding process or is it a mess of emails?

fix your onboarding

Why does a lead from a creator close 3x faster than a cold lead?

It’s because of "Distance to Trust."

When you get a cold lead the distance is very long.

Path A:

It starts with a Stranger. Then you send a cold email. They feel scepticism. 

You have to do 3 demo calls to prove you can solve their problem. You earn trust and you close.

That path takes a lot of time.

The distance shrinks when you try to convert a lead from a trusted creator’s post.

Path B:

It starts with a stranger. But then they see a creator's post. The creator hands their trust over to you. 

The prospect comes to you already believing in the product. You do 1 discovery call and you close.

Influence is a shortcut.

Do you want the long path or the shortcut?

I think most of us on LinkedIn are aiming at the wrong target and here’s why…

We look at viral posts and think "I need to post about how to get 10k followers."

Or we post generic advice about "how to be a better leader."

We are fighting for attention at the very top of the pyramid.

It is crowded there and honestly, there is not much money in it.

The "money" is hidden at the bottom of the pyramid.

It is where people are looking for boring solutions to boring business problems.

A post about "How to get 100 likes" might get you a dopamine hit. But a post about "How to fix a messy CRM so your sales team stops quitting" might get you 10 likes.

But 3 of those likes are from CEOs who have that exact problem right now. And they have a budget to fix it.

If you want to be a famous creator, stay at the top. If you want to build a business, go to the bottom and solve a boring problem.

Do you post for likes or for leads?

If you are a SaaS founder, here is how you make one creator post last for months...

I see this all the time. A brand pays a lot of money for a creator to post. The post goes live, it gets some likes for a day, and then it is gone.

This makes the math very hard for your business because you paid a lot for something that only lasted 24 hours.

You need to turn that one post into a content engine. Try using this playbook:

Day 1: 

You do the obvious stuff. The creator answers every comment. You share it to your company page. You make sure everyone sees it.

Day 7: 

Take the main lesson from that post and put it in your email to your users. Tell them a story about why this creator uses your tool. It feels more human than a standard marketing email.

Day 14: 

You take the video or the image from the creator. You run it as a paid ad.

It looks like a friendly recommendation instead of a boring commercial. Usually your cost per click goes down.

Day 30: 

When someone books a demo on your site, show them that creator's video on the thank you page. Tell them "While you wait for our call, see how this person uses us." 

Day 40:

Write a simple blog post on your site. Title it "How [Creator Name] solved this big problem using our tool." You are just telling their story again.

You paid for the post once. But now you are getting value for more time, and you can repeat this playbook for all creator posts.

Are you reusing your creator content?

Creator marketing tactics

Before I started my influencer marketing agency, I did cold emails for SaaS clients.

And I found one framework that worked for pretty much any tool I was selling.

Here is the exact structure I used to book hundreds of meetings:

1. Salutation

"Hey [Name]" is fine. 

2. Relevant Personalization

This is where everyone messes up. Do not just say "I saw you went to X college." That is weird. You need to connect the observation to the problem you solve.

Example: "I noticed you run a pay-per-meeting model at your agency. That means you cannot afford to waste credits on bad data, right?"

See? I am proving I understand their business model.

3. The Offer

Connect it right back to the personalization. Tell them why you are emailing them now.

Example: "Asking because we just launched a new verification feature at [Tool Name]. It helps you find verified emails without burning your credits on the wrong people."

4. Social Proof

Give them a reason to trust you. A number or a name works best.

Example: "We are already helping 50 other lead gen agencies keep their bounce rates under 1%."

5. CTA

Do not ask for marriage. Just ask if the topic is relevant.

Example: "Would this be relevant to you right now?"

That is it. 

What is your go-to cold email framework?

I haven't used this tool yet, but I'm obsessed with the idea behind it.

When one of our creators puts out a post, we see the likes and comments. But we have to spend hours reading through hundreds of comments just to see if people like the price or if they like feature X.

I saw Trigify.io and it looks like it can fix this mess. 

One thing I want to do is sentiment analysis. I want the tool to tell me if everyone is complaining about a specific part of the dashboard. 

Instead of me guessing, I can get a clear report on what the market hates. That is pure gold for a product team.

The other part is even more crazy. They say they can connect social signals to your pipeline. 

If I can show a client that a single comment from a prospect led to a closed deal in their CRM... that is holy grail.

Right now, the link between a LinkedIn comment and a dollar is very blurry. I think this might be the tool that finally makes it clear. 

Do you track the sentiment of your comments or count the likes?

Sending a cold connection request to a stranger is just weird.

If a random person stops you on a dark street you get nervous. Most LinkedIn requests feel like that. 

You get a notification from a face you never saw before and you probably hit delete because you have zero clue who they are.

We use a method I call the Shadow Strategy. We use a tool called Extrovert for it and it has changed everything for our team.

→ I pick 50 people I want to work with.
→ I add their names into Extrovert.
→ Every time they post anything the tool sends me a notification.
→ I leave a helpful comment within the first hour of them posting.

I do this about three times in two weeks. I'm not trying to sell them anything yet. I'm just sharing my thoughts on their ideas.

When I finally send the connection request they already know who I am. 

They see my name and they think 'hey this guy has been leaving some good comments'. It is not a cold request anymore.

Our acceptance rate is about 60 percent (for prospects).

You spend 15 minutes a day doing this and your outreach stops being an intrusion.

Do you message strangers or do you let them get to know you first?

Marketing @ KlientBoost - The Performance Marketing Agency

Struggling to make your paid ads profitable? I can help.

I've generated $50M+ pipeline (& counting) for B2B Tech and SaaS companies through content marketing, paid search, and paid social demand generation and GTM strategies.

"We've never been able to make paid ads work for us." — common feedback from happy B2B clients.

Some of the leading minds in B2B follow my content for fresh LinkedIn and Google Ads growth recipes.

Right now, I'm leading marketing @ KlientBoost to add $250K MRR using the exact same strategies, principles, & processes we roll out for clients.

Here's how we can help you: 
- Done for you marketing—starts with a free marketing plan
- Fresh growth recipes to your inbox—klientboost.com/kitchen
- Follow me on LinkedIn to learn the latest winning B2B strategies

Got a burning question about B2B paid ads? My inbox is always open too.

LFGTM 🤘

Patrick Cumming

8 years ago, landing page projects took 8+ weeks and $20k+.

Yesterday, I did the same work in under 2 hours with AI and got a better output.

Here's what changed:

Back then, agencies would spend weeks learning your audience, translating insights into positioning, and building a page that would bomb on launch day.

3 months later, you'd roll back because it performed worse than the original.

Yesterday, I rebuilt our entire B2B SaaS positioning strategy and landing page from scratch.

And the output is better than I saw from traditional agency work when I first started out 8 years ago.

Here's the exact 7-step process:

1. Fed Claude 182 ICP interviews, closed/won call transcripts from 2025, and Wynter feedback on our existing site.

2. Asked Claude to build a positioning strategy using April Dunford's Obviously Awesome framework plus competitive differentiation gaps. 

3. Got a 21-page positioning doc that's genuinely excellent.

4. Applied that positioning to the 5-act landing page framework through Claude.

5. Received landing page copy that needed minimal tweaking.

6. Uploaded our homepage to Replit for style reference and had it build a new page matching our brand guidelines.

7. Made minor tweaks, pitched it to our VP Growth same day, got approved.

Total time: under 2 hours.

It'll take me another hour to build it in WordPress tomorrow. Live by end of week.

While competitors spend months in revision rounds, we'll have this launched and running split-tests with real market data.

And I'll have more time to create the content that actually drives traffic to the page.

That's the shift: from laboring over details the market won't care about to testing what actually works.

Speed to market beats perfect every time.


P.S. Swing me a DM if you wanna read the full positioning doc 😎

If I had $1 for every time a B2B SaaS exec didn't believe marketing was contributing to pipeline...

I wouldn't be that much richer.

It's happened maybe 20 times in my career. But it's still a huge problem for most B2B marketers despite having more tools to measure it than ever.

The problem is 3-dimensional:

1. Execs think every impression and click is trackable because it used to be. But those wild west days are over. Privacy changes killed that.

2. The funnel concept we pitched made execs believe we could nurture any lead into a customer with the right flow. That's not how buying journeys work.

3. We defend marketing instead of showcasing a data-driven narrative that highlights the multiple ways marketing contributes to revenue.

This leads to execs who don't understand marketing, real buyer journeys, or how to measure performance.

I'm teaming up with Fibbler's Adam Holmgren on a livestream to fix this... or at least make your life a little easier. 

We'll cover:
- Why it's so hard to prove marketing is working
- The pros and cons of influenced attribution
- Frameworks for building convincing exec-ready reports

I'm not promising this will solve all your attribution problems. But you'll walk away with actionable tools to strengthen your case and win over your exec team.

Hit the link to sign up: https://luma.com/mvbujb74

In 2025 we turned $190K of LinkedIn Ads spend into ~$2.5M influenced ARR. That's a 13X ROAS and we did it using campaign types most B2Bs are afraid to use. Read the document for a detailed breakdown of the playbooks:

KlientBoost - 13X ROAS From LinkedIn Ads

7 predictions for B2B demand generation in 2026:

1. More B2Bs will abandon LinkedIn Ads as CPMs rise, chasing "cheaper" B2C channels. Smart B2Bs will stay put and use the cheaper LinkedIn ad formats everyone's afraid to touch: CTV and ungated document ads. They'll get LinkedIn's unmatched targeting without paying the premium that companies running boring single image conversion ads are stuck with.

2. B2Bs will become obsessed with in-market intent signals to spam weak offers that don't convert to revenue. We'll see a rise in integrated high-intent campaigns pushed to Reddit, YouTube, and Meta. It'll be AI-slop at scale. Smart B2Bs will use intent signals tactfully, but the bulk of pipeline will come from campaigns following foundational principles: broad targeting with messaging pulled directly from what the market is asking for, refined every quarter.

3. We'll have more measurement tools than ever, but it'll get harder to prove marketing's influence. There's a 30-50% loss in click data from cookie rejection and ad blockers. Platforms are missing half the value they deliver. More B2Bs will cut spend based on incomplete data and watch pipeline collapse next quarter. Smart B2Bs will triangulate: use MTA for insights, then validate with incrementality testing and lift analysis.

4. There will be a bigger push to improve marketing efficiency. And it needs to happen. Many teams use "it takes time" to justify marketing that isn't working. The most successful teams will obsess over lead quality, pipeline, and contribution to revenue.

5. AI will finally create complex imagery. Our feeds will flood with AI-slop infographics on topics prospects never asked for. Smart B2Bs will use AI for wireframes but add an inimitable human touch to every piece of published content.

6. B2Bs will obsess over GEO and AI visibility rankings. Many will fail for the same reason past SEO and paid ads strategies failed: skipping foundational ICP research on pains, gains, and jobs to be done. They'll flock to tools promising the world instead of doing the deep strategy work.

7. Competition will get fiercer. Ad costs are rising, price sensitivity is rising, fear of risk is rising. More deals get lost to inaction. B2Bs without clear differentiation will push spend to retargeting competitor visitors and matching feature sets, instead of listening to customers to find out what they actually need.

I'm at the end of that and it sounds doom and gloom.

But I do think it's gonna be a ludicrously fun year for marketers who love chaos, uncertainty, and challenge.

But there's no two ways about it. It's going to be tough.

What would you add?

If I was planning a 2026 paid ads strategy for a B2B SaaS company, I'd skip the shiny tactics and focus on the boring stuff that actually drives pipeline.

Here's the 7 step process that works:

Step 1: Before you launch anything, fix your foundations

1. Targeting: Use Primer or Clay to build company lists. Push 80% of spend to proven segments, 20% to testing new ones.

2. Messaging: Pull first-call transcripts from closed deals. Build a POV on every pain point prospects actually mention.

3. Attribution: Set up multi-touch or self-reported attribution. Last-click misses 90% of what influenced the deal. B2B buyers now touch 76 interactions across 6.8 stakeholders before close.

4. Tracking: Send MQL, SQL, and Closed/Won data into your ad platforms. Set conversion windows to max (365 days for LinkedIn, 90 for Google).

Step 2: You need an optimal platform split

Check Google's search impression share. Under 10%? Scale budget. Over 90%? You've maxed out.

For LinkedIn, look at audience penetration and frequency over 90 days. Below 80% penetration and 10 frequency? Room to scale.

Start with 60:40 weighted to LinkedIn. Lower CAC, more scalable, compounds over time.

Step 3: Optimize for the 95:5 rule

80% of LinkedIn spend goes to saturating cold audiences with pain-focused content. Hit 80% penetration and 10+ frequency to reach in-market buyers now while building demand for next quarter.

20% goes to high-intent audiences: page visitors, existing pipeline, buying committees.

Use engagement, video views, and awareness objectives. Website visits and conversions have insane CPMs.

Google is for high-intent search only. Run keywords through Ahrefs to find transactional intent. Start with exact match, add phrase match after 90 days.

Step 4: Ditch generic branded ads

Branded single image ads had 4X higher CAC in 2025. Worst performers by miles.

For cold prospecting, run three campaign types: Ungated Document Ads, Thought Leader Ads, CTV Ads.

For retargeting, single images work better since you've built trust.

Step 5: Be careful with shiny AI tools

On LinkedIn, switch off audience expansion and LinkedIn ad network. They'll burn budget on low quality impressions that don't drive pipeline.

For Google Ads, you can test Performance Max, but most B2Bs should avoid it. Lower cost product-led SaaS products see better results since volume is higher and barrier to entry is lower.

Step 6: Cautious channel expansion

Most B2Bs don't need this yet. Max out LinkedIn and Google first.

But if you've hit 80%+ penetration on LinkedIn or 90%+ impression share on Google, try Reddit, YouTube, or Meta.

Use Primer or Vector to target matched ICP audiences.

Step 7: Measure what matters

After 90 days, cut anything with 2X higher CAC than average. Push 80% of spend to what's left. Use 20% to test new bets.

Paid Ads planning isn't rocket science. Master the fundamentals, trust the process, and watch pipeline follow.

KlientBoost B2B SaaS Paid Ads Strategy 2026

LinkedIn's campaign objectives don't work the way you think they do.

Most marketers see "conversions" and assume it'll drive more demos. See "website visits" and expect more traffic.

The theory: LinkedIn's algorithm knows who's likely to complete specific actions and serves ads accordingly.

The reality: After 3 years of testing, I've learned to ignore the labels entirely.

Here's what I found analysing a client's campaigns last week:

Single image ad (website visits objective): 1% CTR
Single image ad (brand awareness objective): 0.9% CTR
Video ad (website traffic objective): 0.8% CTR
Thought-leader ad (engagement objective): 1.7% CTR

The awareness campaign reached 6X more people with basically the same CTR as the website visits campaign.

And it outperformed the video campaign that was literally optimised for website traffic.

The engagement objective campaign crushed everything, despite being designed for post interactions and page follows.

We ran similar tests on our own accounts last year. The brand awareness objective drove 10X higher conversion rates than the conversion objective.

Here's why it happens:

LinkedIn's algorithm isn't sophisticated enough to understand B2B buying intent.

It can't distinguish between someone clicking out of curiosity and someone ready to book a demo.

So stop trusting the objective labels.

Test multiple objectives. Measure what actually moves you closer to your goals.

The objective name doesn't matter. The results do.

3 paid ads audits in 27 days.

All mid-market B2B SaaS.

Same problem: high-intent non-brand keywords aren't converting enough. CAC is unsustainable.

Here's the fix I recommended:

1. Stop chasing form fills. Focus on pipeline.

One account was burning 60% of spend on keywords that never converted to pipeline. I recommended an all-star campaign with only proven pipeline-generating keywords and to push 80% of budget there.

Most B2B SaaS need fewer high-intent keywords, not more.

2. Use conversion-focused bidding with caution if you're under 30 conversions/month.

The algorithm needs data. Without it, you're limiting reach.

Experiment with max clicks or target impression share to get in front of more high-intent searchers. You're trying to find the sweet spot of high search impression share with low CPCs.

3. Use phrase match for keyword mining.

Stop guessing which keywords work. Let the market tell you.

Add phrase match variations of your all-star keywords. Mine search terms monthly for new pipeline converters. Add them back to your all-star campaign.

This is how you develop a Google Ads account that actually improves over time.

CPCs are up 29% vs last year. Efficiency goals are getting harder. But Google Ads still works when you stop spreading budget thin and double down on what's proven.

After 2 weeks intensive filming in LA, 100+ takes of the same screen recording, and more caffeine than I thought it was humanly possible to drink, we're pumped to launch Boost U today.

It's a learning platform for marketers who want the stuff they don't teach you at marketing school.

How to actually use ad platforms. How to create better ads. And then translate it all into real marketing results that help you get promoted and grow.

Here's what makes it different:

Every course is built on validated playbooks from working with hundreds of clients. Not theory. Not outdated tactics from 2019. Real plays that work right now.

We're starting with our LinkedIn Ads course (the one I had 15 diva-level tantrums filming every time I messed up a click 😅). More courses coming soon.

If you've ever felt like traditional marketing education skips the actual useful bits, this is for you.

Check it out: https://lnkd.in/gq_H_Y6s


P.S. If I never have to "act" on camera again in my career, it'll be too soon. But massive credit to the Deadpan 💀 🎬 team for absolutely nailing the video work.

Last week I posted a 7 step AI-powered workflow B2B's could use to build a data-driven repositioning strategy AND turn it into a landing page in <2 hours.

Most people found it helpful, a few folks HATED IT (#sorrynotsorry), and a handful of people DM'd me asking for more details.

I promised them I'd record a full walkthrough of the process. Watch the full process in <3.5 mins below:

We reduced paid ads CAC 14% in 2025 using 3 processes that most B2B SaaS companies completely ignore.

Here's the exact playbook:

1. Efficiency Farming

Stop launching new campaigns every week.

Start reading your data over 90, 180, and 365-day windows to see what actually drives revenue.

Pause campaigns with high CAC. Double down on campaigns with low CAC.

Scale winners by testing variations of what already works.

Do this monthly.

2. Segment Optimization

Targeting is the most overlooked lever in paid ads.

Most B2Bs spread budget across their entire TAM because they're scared of missing prospects.

This kills performance.

Instead, analyze which segments close fastest with the lowest acquisition cost. Build audiences of only these segments using a tool like Primer.

Then exclusively target them.

Do this quarterly.

3. Reverse ICP Exclusions

If you know your ICP, you also know who isn't your ICP.

Build exclusion lists of companies outside your ideal size, industry, or profile.

Upload them to your ad platforms so they stop serving ads to bad-fit audiences.

Example: Only targeting $10-100M IT companies? Exclude everyone under $10M and over $100M.

Update this every time your ICP changes.

The biggest irony in B2B marketing is that most companies think they need to do more when the real gains come from doing less but better.

Paid ads costs aren't dropping. But with these processes, you can stay ahead.

We closed 4 deals from AI platforms in H2 2025.

44 qualified leads came through ChatGPT, Perplexity, and Gemini. Not massive numbers, but enough to pay attention.

Here's what surprised me: our AI visibility sits at 0.5% in our category. That ranks us #6 against competitors.

We're getting deals despite barely showing up in AI responses.

So we ran the math on what happens if we fix that gap.

Q1 target: increase AI citations by 50%. If the conversion rate holds, that's 8-10 additional qualified leads per quarter from a channel that's still growing.

The play is simple:

1. Track where competitors appear in AI responses
2. Identify which content AI platforms cite as sources
3. Build content designed to get picked up by these systems
4. Monitor citation frequency across ChatGPT, Perplexity, Google AI Mode, and Gemini

We're testing Search Intelligence AI to handle the tracking and citation analysis. It scrapes real responses from live AI interfaces and shows exactly which pages get cited.

Early mover advantage matters here. Most brands aren't tracking AI visibility yet. The ones who start now will own the category recommendations before this becomes table stakes.

If you're seeing inbound from AI platforms, you're probably underindexed too. Worth checking where you actually rank.

Get 50% off if you join in the first 7 days: https://lnkd.in/gfKcDJsS

B2Bs are obsessed with "B2C" channels like Meta, Reddit, and YouTube this year for the cheap CPMs promising better efficiency. 

But it's a bad strategic move for most of them. 

Here's how to know if you're ready to expand outside of LinkedIn Ads and Google Ads:

Paid ad costs are getting unsustainably high.

LinkedIn CPMs are up 28% and Google Ads CPCs are up 19% vs 2024. Not exactly in-line with inflation.

But many B2Bs aren't just dealing with rising costs. They're also wasting what budget they do have on bad targeting.

On LinkedIn Ads, it shows up as spreading budget too thin across large audiences. Reach and frequency stay too low to build trust and recall. No trust = no pipeline.

On Google Ads, it's spreading budget across too many keywords that don't convert at a sustainable CPA. More spend, same (or worse) results.

The good news is both problems are fixable with the right approach.

In the latest KlientBoost Kitchen podcast, I break down:

• How to calculate the budget you actually need to win
• Why audience FOMO is killing your pipeline efficiency
• How to target in-market buyers more effectively
• When B2C channel expansion makes sense

These are the same principles we used to reduce marketing CAC 14% in 2025 vs 2024. And the same playbooks our team uses to help clients do the same.

Hit the link in the comments to watch the full breakdown 👇

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The Battle

Denis Acia

Patrick Cumming

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taplio

The Battle

Denis Acia

Patrick Cumming

Followers

Posts

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);}Denis Acia's LinkedIn Performance

Performance ScorePatrick Cumming's LinkedIn Performance

Ready to grow your LinkedIn presence?

Performance ScoreDenis Acia's LinkedIn Performance