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Customer Acquisition Cost: Avoiding a Business That Leaks

Author: Ciente Editorial Team

Customer Acquisition Cost: Avoiding a Business That Leaks
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Customer Acquisition Cost: Avoiding a Business That Leaks

Customer Acquisition Cost: Avoiding a Business That Leaks

CAC might be the metric that’s holding you back. But that isn’t the entire truth. Here’s a reframe, one that may change how you think forever.

Without revenue and profit, a business dies eventually. And behind it all is a simple concept known as the CAC or customer acquisition cost- it is either a balance or a leak that hurts profits and revenue.

Of course, solving for the CAC to be perfect is a folly of its own. There’s a reason so many tools and products cost so much: the supply chain of any given product is vast, and there are many vendors involved in the process. Whether that’s marketing or talent outsourcing or some other reason, vendors make up a vital part of a business’s process, and a bad vendor can mean the doom of an organization.

And yet marketing teams and the founders of their companies are stuck measuring CAC as: Marketing Spend/No. of Customers.

What is wrong with the industry? No wonder organizational prices are ballooning up, and backfilling becomes the norm. Of course, churn’s going to exist- this piece doesn’t serve to help you remove churn, and if someone is promising you that, you should be scrutinizing them and their process to make sure it’s the truth.

The point here is that marketing teams in B2B SaaS marketing are missing something vital.

It’s the digital supply chain and vendor relationships. You wanna know why the CAC is up this quarter when sales were smoother? It’s not the marketing budget- it’s the way the ship is being run. It’s about time the founder takes responsibility for the cost.

And if your company doesn’t have one, then to the CEO it is.

CAC: The truth every founder needs to know

Your CAC is good, and everything is running smoothly marketing-wise, but why is your revenue not matching the organizational pace? And why is the marketing spend just increasing?

See, you don’t need another shmuck telling you what to do. So this is not what to do, but the things you need to watch out for.

What you need is not advice but a different lens to look into specific problems. No one knows what it is like in your shoes, and they shouldn’t assume your vantage point. It is lonely at the top, after all.

So here’s a view from down in the hills: even if your CAC is fine, your business is leaking revenue because the way CAC is calculated is very 1-dimensional. This is simple.

CAC is how your entire organization is run to capture one customer, and it is folly to calculate it as marketing spend divided by the number of customers acquired.

No wonder people blame marketing. It’s because the industry has let this happen. Leads. Captures. Data. These are abstract concepts.

The reality is that the buyers care whether the product or service you have is solving their problems- the marketing is there to amplify the organization’s message. There are two schools of thought that are vital to this discussion: –

  1. Michael Porter posits that strategy is the act of unique execution.
  2. Marketing success is based on the unique execution of the organization.

Without this, everything crumbles. This is a recent example; we found this during research.

Disruption of the supply chain

Essentially, some hackers targeted the npm package, and it affected millions of users. This is how organizations get their data stolen.

And a weak supply chain not only disrupts your users but also erodes the trust they have in you. Once trust erodes and the word spreads, it becomes difficult to acquire customers, making marketing’s job that much harder.

But this is a breach in the software part of the digital supply chain- what happens when something else in the chain sets off? For example, you just sent off a file to your buyers and their legal team sends you a checklist of items, and there’s a redline that says: “If you have an XYZ vendor in your Supply Chain, we might have to go over the contract. They have been blacklisted for undisclosed reasons.”

And lo and behold, that vendor is in the supply chain. This is a double whammy. NPM attacks and a vendor’s mistake caused a delay in the deal. Every moment spent is money out of your pocket. And worst case? What if this doesn’t go through?

What’s going to happen to the CAC now? Many things, but it will affect trust, word of mouth, and everything else. Again, making marketing’s job that much difficult. CAC suffers; the negative loop continues.

You need to anticipate: –

  1. The SBOM of your potential leads
  2. And get the SOC 2 (While this is here, the assumption is that your product or service has this before you even got your first buyer.)
  3. Get a third-party risk management audit done before your buyer has the chance to.

Founders and CEOs, understand, yes, you have delegated marketing, but that doesn’t mean the rest doesn’t fall on your shoulders. Don’t pull out of marketing before you get to auditing your process and the way your product reaches the market.

The Role of Marketing in CAC

Now, we operate under the belief of the above section. So what is marketing’s role in improving CAC?

Let’s move away from leads- that’s the job of your trusted agency partner anyway (Hey, we’re Ciente, a trusted marketing agency!)

What you do need is to become a strategic function- a pillar that manages customers and does so profitably. And this is what marketing was supposed to do- it isn’t a content farm. The content is a vessel for communication.

What it is supposed to do is enable you to build a brand and find strategic opportunities for market penetration. Sometimes, this just so happens by hopping on a trend. Wild world we live in.

But hey, your founders are blaming you for messing things up, and the CAC is bad, and the CLV is leaking. This is just the first 3 hours of your job anyway. You know what’s going to work, so why not do it? You have the most data of all the teams combined and understand what the market wants and needs.

And once sales align with you- oh, you know the stats for it. But here’s a reframe that should help you speak to the founder.

Identifying the leaks

Your organization has leaks, you know it, and they run deeper than the organization. These leaks exist all over the market- these could be trust markers, or changes in product that are a long time coming, but aren’t because of equilibrium in the market.

But you have data. You have viewpoints. You have a strategy- that’s why you are the marketing leader. But much of your time is being wasted putting out fires and then being blamed for them.

So what do you do? Projections.

Let’s run this experiment: –

  1. You project what’s going to change based on the data from marketing and sales.
  2. You suggest these changes, which will be a controlled experiment, to your CEO or founder. It’s like multivariate testing but for the organization. Choose things that, if broken, won’t affect the organization anyway.
  3. See if the projections match reality.

Yes, this is what you already do for advertising. The job is the same, the scope varies by a margin.

Bridging the engineering gap

Remember SEO audits? Yup. That’s what you’re going to do on the supply chain. Again, this is radically complex because the idea says: –

  1. Break down the silos.
  2. See what’s not working.

But again, you have to be positioned to do this. Why does McKinsey get a say in consultancy but not the in-house team?

Back to the point, this involves you as a leader understanding differing perspectives.

  1. What are sales saying?
  2. Customer success?
  3. And vitally, the engineers.

The engineers are what’s driving the show, and sometimes it gets rough even for them. They need your help to understand the product. But isn’t this such a rosy picture? You go to the engineering team, and they are like, “Yeah, sure, we will add that feature. Were magicians with infinite time on our hands anyway?”

But what you need to do here is help them understand why the product isn’t standing out the way they hoped it would, and that requires a certain political acumen. But why are you letting that stand in the way of improving things?

The answer is: because it’s not your job.

That is changing rapidly.

Bridging the trust gap

There are many more that you can do to improve not just this metric called CAC, but the entire organizational structure. But the most important one is trust.

How is trust gained? It’s showing up when it counts. But that is too complex to quantify. And marketing, even though a very human endeavor, needs to be quantified. So trust can be quantified as whatever metric you choose- brand mentions, smoother conversations, faster deals, etc.

Though the path to reaching the metric is finding blind spots- a lot of marketing is reactionary to problems. Almost PR in a way. Something fails, and you scramble for an apology or to put the fire out.

But what if, during ABM or any other personalized campaign, you saw that some buyers don’t like a specific vendor? You can choose not to do your job with them- you can avoid risks before they arise. But this means letting go of vendors that you know are just going to give you lead lists or unverified data or low-quality work in general.

Trust is built through a process of customer understanding, repeating what they know, challenging assumptions, and showing them proof of the assumptions. Of course, some will enjoy the echo chamber, and for them, the step ends at repeating what they already know.

What do businesses need to do with the CAC? Rethink it.

This piece has one purpose: not to look down on people who run the organization and to show a different perspective.

You may not agree with some or all of it, and that’s fine. Because no one knows your position better than you do. You have the tools and the data, but is it all for targeted advertising?

That has to be a reductive view. The CMO role is shrinking, and the AI systems are getting smarter, but people will find new ways of working. The question is: will organizational structures match today’s reality or become a relic of a bygone era?

Building the business case for ABM in financial services
Blogs

Building the business case for ABM in financial services

Building the business case for ABM in financial services

Most “business case” blogs are written by people who have never had to stare down a skeptical CFO and explain why “brand awareness” matters. This isn’t one of those blogs. This is about survival in a market defined by fear.

You have likely spent hours scrolling through LinkedIn, reading “thought leaders” talk about the magic of Account-Based Marketing (ABM). They talk about personalization at scale. They talk about “delighting the customer.”

And if you take that language into a boardroom of a Fintech company, you will fail.

Why? Because financial services aren’t selling socks, and it isn’t selling project management software. It is selling security. It is selling the promise that money—the lifeblood of any organization—won’t disappear overnight.

The stakes are perceived to be higher than they are. And because of that, the standard marketing playbooks don’t just fail; they look like negligence.

If you want to build a business case for ABM in this industry, you have to stop acting like a marketer and start acting like a risk mitigation. You have to understand that the “Customer Journey” everyone talks about is a lie. The real journey is hidden, political, and terrified of change.

Let’s walk through what is actually happening, and how ABM is the only logical response to it.

The Hidden Customer Journey in Fintech: Beyond Standard Lead Gen

Let’s be honest about the state of the industry. The tech world is saturated. Tools like Lovable and other no-code solutions have doubled the speed to production. Every day, a new neo-bank or payment processor pops up, claiming to be faster, cheaper, and more “AI-driven” than the incumbents.

So, who wins?

The standard answer is “the best product.” The real answer is “the vendor who gains trust”.

But gaining trust in Fintech is an uphill battle against gravity. Buyers are cynical. A simple Google search reveals horror stories of fintech failures. Research like this dominates their mind. They aren’t asking, “Does this feature work?” They are asking, “Will this company exist in six months?” or “Why should we trust you when you can fail?”.

This fear drives the “Hidden Journey.” The customer journey of your prospect is so unknown that you are mostly making guesses. You might see a download or a webinar attendance, but you don’t see the conversations happening in dark social channels, or the Slack DMs between the CTO and the CFO.

Standard lead generation (inbound/outbound) cannot penetrate this. It waits for the buyer to raise their hand. But in Fintech, by the time they raise their hand, they have already decided who they trust. And if you weren’t part of that hidden conversation, it’s not you.

This is the first pillar of your business case: Standard marketing targets the behavior we can see. ABM targets the fear we can’t see.

Navigating Internal Politics and B2B Decision Makers (The “Roommate Theory”)

This is the part that usually gets left out of the boardroom presentation, but it is the most critical factor in B2B sales.

Let’s say you are a neo-bank offering better interest rates and security for employee savings. It’s a great product. The value prop is undeniable. You pitch it to the XYZ company.

And they say no.

Why? Was the product bad? Was the price too high?

No. You lost because you couldn’t identify the internal politics that avoid the change.

You didn’t know that the CFO, who holds the purse strings, was roommates in college with the founder of your competitor. You didn’t know that the CEO is risk-averse because their last vendor got hacked, and they promised the board “no more startups.”

You cannot see this. Not unless you send a spy inside the organization.

Since corporate espionage is illegal (and generally bad for brand reputation), you need a legal alternative. That is ABM.

ABM isn’t just “targeting accounts.” It is a tool to uncover the hidden aspects of the buyer’s journey. It helps you solidify your answer to the question: “Why them and not us?”.

By mapping the “Buying Committee”—understanding exactly who the decision-makers are and what makes them tick —you gain leverage. You realize that to win this deal, you don’t need to convince the company; you need to arm your champion with an argument that dismantles the “roommate bias.”

When you present this to your leadership, frame it this way: We are losing deals to internal politics we don’t understand. ABM is the intelligence layer that exposes those politics.

Engaging the Entire Buying Committee: A Multi-Threading Strategy

Let’s dig deeper into this “Buying Committee” problem, because it is where most Fintech marketing dollars go to die.

ABM is essentially multi-threading. It is the act of unifying different perspectives to create a message that lands with everyone, not just your point of contact.

Imagine you are a Fintech like Wise, processing cross-border payments.

  • You entice the CEO with “Growth.”
  • You entice the CFO with “Low Forex Fees.”

Great. You have 2 out of 11 committee members.

But what about the CTO? While the CEO is dreaming of expansion, the CTO is panicking. He has identified that integrating you into the stack is problematic. He is questioning your security features, your transfer protocols, and the surface area for cyberattacks.

If you are running a standard marketing campaign, you might never even target the CTO. You assume the CEO makes the call.

By the time the sales meeting happens, the CTO has already killed the deal in a private email to the CEO. You are too late. You should have answered the questions before the first touchpoint.

ABM requires you to answer these objections before they are raised. It demands that you create content specifically for the CTO’s fears, even if the CTO never fills out a form.

When the committee meets to decide, it must be challenging for any one party to negate you. They would need a solid reason not to onboard you.

This is the second pillar of your business case: We need to win the argument in the room when we aren’t in the room.

Using ABM for Product Intelligence and Market Feedback

Here is where you pivot the conversation from “Marketing Spend” to “Company Strategy.”

Most executives view marketing as a one-way street: We build the product -> Marketing tells people about it.

This is a recipe for disaster in Fintech. The market is moving too fast.

ABM, if done right, changes the direction of the data. It flows backwards.

When you run a hyper-targeted ABM campaign, you will realize the true gap in your product. Your salespeople will receive feedback that is a goldmine for the product team.

Because you are targeting high-value accounts with specific problems, the rejection isn’t generic. It’s specific.

  • “We didn’t buy because your API doesn’t support Protocol X.”
  • “We didn’t buy because your security compliance lacks SOC 2 Type II.”

This data empowers your product managers to understand the micro-problems plaguing the product. Is it security? Is it transfer rates?

If you can verify this, you can iterate around it.

This turns Marketing into a strategic management system. It makes your department a consulting company within the organization. You aren’t just bringing in leads; you are diagnosing why the business isn’t growing faster.

The Business Case: “ABM isn’t just about sales. It is about Product-Market Fit validation.”

The Financials of ABM: Optimizing CAC and LTV Ratios

Now, we have to talk about the money. Because eventually, the CFO will ask: “Is this expensive?”

Yes. It is. ABM is budget-intensive. It requires heavy market research, intelligence, and execution tools. If you try to do this on the cheap, or with an agency that doesn’t understand the nuance, you will fail.

But let’s look at the alternative.

The anecdotal wisdom says your CAC:CLV ratio should be 1:3. For every dollar you spend, three must be gained back. But in Fintech, relying on “volume” marketing balloons your CAC very quickly.

Why? Because of the “Churn Treadmill.” If you acquire customers who don’t trust you, or who aren’t a perfect fit, they leave. And in Fintech, where trust is a finite resource, a churned customer is often a loud detractor.

Standard marketing is “Spray and Pray.” You pay for 1,000 clicks to get 10 leads to get 1 customer. ABM is “Sniper Fire.” You pay more per target, but you waste zero dollars on people who can’t buy.

If you focus on standard lead-gen, you are optimizing for meetings. If you focus on ABM, you are optimizing for revenue.

The “Time-to-Close” metric is crucial here. Internal politics and security reviews drag out deals for months. ABM shortens this cycle by addressing the “Dark Social” and “Hidden Objections” upfront.

If you can reduce the sales cycle by 20%, the higher upfront cost of ABM pays for itself immediately.

Conclusion: Why Trust is the Critical Asset in Fintech Marketing

The industry has begun its upward ascent. The opportunity is right there, and the piece of the pie is huge. Look at Stripe—there’s a possibility here that it’s just the beginning.

But the trillion-dollar market cap will only be pushed if the industry understands and uncovers what its buyers want.

The buyers want to feel acknowledged and secure. They want to know that when the world becomes volatile (VUCA), your bank or software won’t fail them.

People lost businesses because banks didn’t bail them out. Fintech did. This is your play.

ABM has to position your organization as a fail-safe. It builds the context that allows trust to flourish.

So, when you submit your budget request, don’t just attach a spreadsheet of ad spend. Attach a manifesto.

Tell them that the era of “generating leads” is over. Tell them that the era of “generating trust” has begun. Tell them that we are done guessing at the customer journey.

We are going to map the politics. We are going to debug the product. And we are going to dominate the market share.

That is the business case. Everything else is just noise.

Using ABM to optimize the customer journey in finacial services
Blogs

Using ABM to Optimize the Customer Journey in Financial Services

Using ABM to Optimize the Customer Journey in Financial Services

Finance and Fintech need trust. But what passes of as marketing is actually noise. ABM will help but not if you stay ignorant.

The way your buyer operates and makes decisions is hidden. The customer journey of your prospect, lead, potential buyer, or whatever you call them, is so unknown that you can only make guesses as to what is happening.

Is ABM the answer to uncovering hidden paths and optimizing for the journey? It very well could be, depending on the information you have. But the thing is, dark social and buyer psychology will always elude any scoring or formal system you have in place.

Especially in finance, where the stakes are always perceived to be higher than they are. Of course, there’s money involved – vast amounts of it. But does that mean fintech marketers stand idly by while the product does all the heavy lifting?

Absolutely not. Ciente believes that finance and fintech actually need their marketers more than ever. The industry has begun its upward ascent, and neo-banks are actually being considered legitimate alternatives to traditional banking.

The opportunity is right there, and the piece of the pie is huge. Look at Stripe; there’s a possibility here that it’s just the beginning. The trillion-dollar market cap could be pushed only if the industry understands and uncovers what its buyers want.

How does that start? It’s by asking whether ABM can be a tool to uncover the hidden aspects of the buyer’s journey. Let’s walk through it.

Why do fintech orgs need to invest in ABM?

For one, the tech world is saturated. AI tools like Lovable and other no-code solutions have made it easier for organizations to take their product to market. Speed to production has to be at least doubled by now. Imagine: a multitude of tools, and every organization vying for their buyers’ attention. So, who grabs it?

It’s the vendor who gains buyer trust. But this is a difficult step, as a startup, what makes you so different from Stripe or Revolut? Maybe that’s not your niche, and you have a product that is entirely new and has never been heard of.

Let’s take the extreme: your product saves buyers thousands and millions of dollars in cost. But let’s be honest, that app has a competitor too. And if it can’t prove the promise it’s making immediately, it will fail to the app that does. That’s why ABM helps marketing professionals change the game on two fronts:

  1. ABM means knowing the account as well as the industry you’re in. This empowers you to understand the account’s core problems.
  2. It helps you leverage this understanding by giving the accounts solutions exclusive to them.

For example, you are a neo-bank that safeguards people by securing their savings and giving them better interest rates. And you want to sell this to, say, an XYZ company for their employees. This is an excellent value prop; with your own capabilities as a neo-bank, you’re also providing security.

But can you identify the internal politics that avoid the change? No. Not unless you send a spy inside the organization. What drives the CEO or the CFO – who will be the drivers of this change? Why would they choose you and not the CFO’s roommate from college, who also has an excellent product? ABM will help you solidify your answer.

The Buying Committee

Marketers are in luck because of the buying committee. With ABM, you will understand:

  • Who the decision makers are.
  • What makes them tick?

Then, you position your messaging and sales initiatives such that they speak to every possible problem they might have and your solutions for it. Then, when the committee does realize you are the best solution, it will be challenging for any one party to negate you. They would need a solid reason not to onboard you unless they didn’t have a prior interest before, which, in many cases, is illegal.

ABM is a direct line into this. It treats your accounts’ differing viewpoints as leverage for getting them to say yes.

You get to cover each perspective at length. Yes, it is budget-intensive. But it is a strategy that compounds. All you have to do is make good on your promise. But there are challenges, and they are insane. Before you even think of optimizing for the customer journey, you need this information.

The challenges affecting ABM in fintech

Fintech markets face a complex challenge that will plague all their marketing efforts, including ABM: the fear of loss. Yes, as a marketer, you have heard that convenience in fintech helps buyers choose you over your competition, and that’s what you relayed to your product teams. But what if the buyers trust your competition more than you? They will overlook convenience. For example, a simple Google search revealed this:

This is a worst-case scenario for any buyer out there, and research like this dominates their mind. They will, in some form, ask you: “Why should we trust you when you can fail?”

Challenge 1: Budget Intensive

ABM is effective for startups and organizations that have their funds lined up. Being a fintech usually guarantees marketing funds, but a crucial aspect many marketing teams overlook is the CAC (customer acquisition cost), which can balloon very quickly.

The anecdotal wisdom here is that the CAC: CLV ratio should be 1:3; for every dollar you spend, three must be gained back.

But this changes from team to team – and since fintech, by logic, needs more touchpoints to generate trust, this could look very different for you. And ABM requires heavy market research, intelligence, committee-specific data points, strategies, and executional tools to create an actual account-based approach. That is why so many ABM approaches you try with certain agencies fail. They don’t tell you the nuances and costs behind it, nor do they take the actual approach.

Challenge 2: Lack of Conceptual Understanding

ABM is not very well understood. It is essentially multi-threading and unifying different perspectives to create a message. For example, imagine you are a fintech that processes cross-border payments at little to no forex charge – something like Wise. You may entice the CFO and CEO, but they make up only two-elevenths of the buying committee. What about the CTO? He has identified that integrating you into the stack could be problematic. He is questioning your:

  1. Security features
  2. Transfer protocols and customer safety
  3. Increasing the surface area of cyberattacks and the breach of his customer’s data
  4. Etc.

How will you answer these questions if you’re not on the committee? You may think that with ABM, you will influence him by targeting him with messaging. No, you are too late. You should have answered the questions before the first touch point. ABM starts before you touch the market by understanding the needs of each committee member. The product must answer their questions.

To answer the objections, the marketing team must:

  1. Pick out major accounts.
  2. Understand the problems of each member and find the common thread.
  3. Integrate the thread into the product, or at least answer the question with what they have.

Yes, ABM informs product strategy. And that is not an easy pill to swallow.

Challenge 3: Trust as Currency

No matter how sophisticated your ABM program is, it cannot work without the product – this is a maxim. But it is a fallacy to think that your product can cover all the ground, right? That’s why it exists to solve a specific gap in the market. That is product 101. Understand your market and create a solution. Understand the customer and design the product.

Yes, the product creates trust by bridging this gap. Unfortunately, the buyer’s experience of constant remorse has made them wary of their own buying processes. Bummer, you weren’t even involved in this. And because of their own failure to choose the right solution, they see all solutions with a critical eye.

Their trust is a finite resource. And it cannot be gained by just ABM. It needs something personal. They want to feel acknowledged and secure. Why? Because when the world became VUCA, leaders were the first to realize just how delicate everything is. People lost businesses because banks didn’t bail them out. But fintech did – this is your play. ABM has to position your organization as a fail-safe when traditional methods don’t work. This is the framework with which most fintech organizations should operate.

Using ABM to Optimize the Customer Journey in Financial Services

Now, after this long-winded introduction and backstory, let’s dive into what you came here for. Though the hope is that you found some notion to challenge yourself. The customer journey is complicated, to say the least. They use physical and mental tools to verify your credibility – the so-called markers of trust: there’s mindshare, market share, market perception, brand name, etc. The question here is: why would you buy something and why? Your buyers are buying for the same reason as you; the only difference is the context, product, time, and price.

ABM as an Antidote to Hidden Journeys

ABM is not targeted advertising. No. If you think this, remove it from your strategy. And if any agency is selling you this, they are lying to you. ABM, if done right, is a data-driven strategy that should uncover insights about your high-value accounts. How is this done? So let’s assume two things:

  1. Your buyer is well researched.
  2. They are actively discussing similar solutions to yours and talking about you in the context of buying with their peers. Oof, that was a mouthful.

So what do you do? First, you understand their peers. This means that you cannot just target high-value accounts but also discover which peers the buying committees talk to. This is dark social – usually communities on Slack or Discord channels.

You probably won’t be able to enter these.

But you can identify connections of connections and assign probabilities. These probabilities will help you create a list of people who might know each other.

You should, if the budget permits, show similar advertising and messaging to these people. This helps your high-value accounts and their peers see your organization in an equal light. The main advantage that ABM provides is that the data identifies the buying committee’s professional circle and helps you penetrate it. This has two advantages, maybe more:

  1. Creates positive mindshare.
  2. Builds a pipeline that can be leveraged in the future.

ABM as Iterative Product Building

Once you run your ABM campaign, you will realize the true gap in your product. Your salespeople will receive feedback that will be a goldmine for the product team. And with ABM, you actually understand the specific problems of your high-value accounts. This can help you run diagnostics on your tool and give your product managers tangible data to work with.

This data will empower your teams to understand the micro-problems plaguing their product – is it security that is bothering the buyers, or is it the transfer rates or complexity in integration? Is the buyer afraid the product will break under certain thresholds? Can your product teams verify this and iterate around it? If not, what is the leverage that your product teams believe they have over the problem?

This will help you tailor your marketing messages, improve sales performance by anticipating future objections, and help product teams iterate at a very high speed. But the shift here is not as groundbreaking – this is just a return to marketing being a function that provides strategic insights based on buyer behavior; the only difference is the scale. It’s a granular approach to a timeless problem.

ABM for Navigating Internal Politics

Let’s borrow something from sales: the ability to contextualize. Ask any amazing sales rep you know, and you’ll understand that they use context as leverage. Okay, this is a bit tricky to understand, but basically, what we’re saying here is: let the person talk. Discover the leverage within their words.

ABM, by its nature, is hyper-focused.

Through the granular data collection from your campaigns and the conversations your sales reps have with different members of the committee, you will understand the internal relationships. This involves a few things:

  1. Observing behavior based on some model.
  2. Seeing if the model plays out in sales calls and how, eliminating what doesn’t work.
  3. Mapping the relationships.
  4. Listening to which competitors come up in the conversations and why.

This is based on one assumption: given enough time to talk long enough, people will start giving unwanted information.

This might hold true for all human beings except those trained not to do this.

This information contains leverage. And you can use it to understand what is happening internally. For example, why does the CFO push for a specific solution? It’s because you found out he was roommates with the guy. But what does the roommates’ solution have that you don’t?

The gap to explain is right there. And if the CFO can’t explain why he is choosing not to address that gap, he will look suspicious – something no C-level executive wants to be seen as: a shaky and compromised leader.

This is a simplified example, and there will be layers, but that is on you to find out.

ABM is the answer to “Why do we need marketing in fintech?”

Marketing as a function is going back to its roots as a strategic management system. It is people management and organizational growth.

But the noise has made everyone forget that. Now, marketing is eroding trust rather than building it. Why? Because it treats itself as a thing to be consumed and not a thing to drive decisions, which it historically was.

And finance needs it now more than ever.

The world is changing, labor is changing, and operations are changing – traditional banks might not be able to keep pace.

But don’t fall for cheap advice either. If you think everything here doesn’t align with what works for you, discard it.

No one knows your context, and the same goes for the buyer. What ABM does is it brings context to light and gives you leverage.

The usage of this strategy proves why marketing exists. It’s not to increase ROI, no. It is to dominate the market share.

The Trust Problem Fintech Advertising Won't Acknowledge
Blogs

The Trust Problem Fintech Advertising Won’t Acknowledge

The Trust Problem Fintech Advertising Won’t Acknowledge

Fintech advertising fails because it treats trust as a conversion metric. The real problem? Your ads solve for clicks when buyers need proof you won’t lose their money.

There’s a scene in The Big Short where Mark Baum realizes the entire financial system is built on a lie. He’s standing in a Vegas casino, and it hits him: everyone is pretending things are fine.

Fintech advertising feels like that casino right now.

You scroll through LinkedIn or Twitter, and every ad screams the same thing: “We’re disrupting finance.” “Banking made simple.” “Your money, your way.”

But here’s what buyers actually think when they see your ad: “Will this company exist in six months?”

That’s the brutal truth. Fintech has a trust problem, and your advertising amplifies it instead of solving it. You’re competing in a space where FTX collapsed, where SVB failed, where every week brings news of another security breach or regulatory crackdown.

And your response? A carousel ad with gradients and buzzwords.

This isn’t going to work anymore.

What fintech advertising gets catastrophically wrong

Let’s start with the obvious. Your buyers are afraid.

Not mildly concerned. Actually afraid.

They’re afraid of losing money. Afraid of identity theft. Afraid of regulatory problems. Afraid that your startup will pivot or shut down and take their financial data with it.

And what does your advertising do about this fear? It ignores it completely.

Instead, you talk about features. You talk about innovation. You talk about how fast your app loads or how sleek your interface looks.

But nobody cares about your interface when they’re wondering if you’re FDIC insured.

The fundamental mistake happens at the strategy level. Fintech companies treat advertising like a tech problem when it’s actually a psychology problem.

You think you’re selling software. You’re actually selling something much harder: permission to touch someone’s money.

That’s a wildly different proposition.

Think about the last time you switched banks. How long did it take you to make that decision? Weeks? Months? Did you actually switch, or did you just think about it and then stay put because the friction was too high?

Now imagine you’re asking someone to do that for a company that didn’t exist three years ago.

This is what you’re up against. And your solution is performance marketing and A/B tests?

The regulatory shadow nobody talks about

Here’s something your marketing team probably doesn’t mention in strategy meetings: compliance isn’t just a legal problem. It’s a perception problem.

Buyers see fintech regulation news constantly. They see enforcement actions. They see fines. They see companies getting shut down for violating rules they didn’t even know existed.

This creates a baseline skepticism that your advertising must overcome. But here’s the thing: you can’t overcome it with better targeting or higher frequency.

You overcome it with proof.

Proof that you understand the rules. Proof that you’re playing the long game. Proof that you’re not going to disappear when things get hard.

Most fintech ads provide exactly zero of this proof. They’re optimized for engagement metrics that have nothing to do with trust.

You get clicks. You might even get signups. But you don’t get adoption because adoption requires something your ads aren’t built to deliver: credibility.

The framework fintech advertising actually needs

Okay, so if everything is broken, what’s the fix?

Let’s build this systematically. The MECE framework demands we break this into distinct, non-overlapping parts. So here’s how fintech advertising needs to work:

1. The Foundation Layer: Regulatory Credibility

Before you say anything about your product, you need to establish that you’re legitimate. Not exciting. Not innovative. Legitimate.

This means your ads should lead with:

  • Which regulatory bodies oversee you
  • What certifications you hold
  • Who your banking partners are
  • How customer funds are protected

Boring? Yes. Necessary? Absolutely.

PayPal didn’t become PayPal by being the coolest app. They became PayPal by being the company that wouldn’t steal your credit card information. That’s it. That was the entire value proposition for years.

Your advertising needs to do the same thing. Establish that you’re safe before you try to convince anyone you’re better.

2. The Proof Layer: Show, Don’t Tell

Every fintech ad claims to be secure. Every single one.

So your claim means nothing. You need proof that exists outside your marketing materials.

This is where most fintech advertising completely fails. You make claims about security, about uptime, about customer satisfaction, but you provide no way to verify any of it.

The solution? Third-party validation becomes your primary message.

SOC 2 certifications. Security audits from recognized firms. Customer reviews from verified users. Case studies with actual company names attached.

Notice what we’re not talking about here: your features. Because features are what companies advertise when they have no proof.

If you actually have proof, that’s your ad. The entire ad. Nothing else needed.

3. The Differentiation Layer: What You Actually Do Better

Only after you’ve established legitimacy and provided proof can you talk about what makes you different.

And here’s where fintech advertising gets philosophical. What actually makes you different?

Be honest. Really honest.

Most fintech products are solving the same problems with slight variations in execution. Your payment processing isn’t fundamentally different from your competitor’s. Your budgeting app uses the same data sources as everyone else’s.

The real differentiation comes from one of three places:

  • You serve a specific niche better than anyone else
  • You integrate with systems your competitors don’t
  • You provide a level of service your competitors can’t afford to

That’s it. Those are your options.

If you can’t point to one of these three things, you don’t have differentiation. You have marketing copy pretending to be differentiation.

4. The Conversion Layer: Reducing Friction to Nothing

Fintech has a unique problem: the gap between interest and action is massive.

Someone can be completely convinced your product is better and still not switch because switching financial products is a nightmare.

Your advertising needs to acknowledge this and address it directly.

This means your calls to action can’t be “Sign up now” or “Get started today.” Those CTAs ignore the actual barrier.

Better CTAs for fintech:

  • “See how migration works” (addresses the switching concern)
  • “Talk to someone who switched” (provides social proof of successful transitions)
  • “Test it alongside your current system” (removes the commitment barrier)

You’re not selling a product. You’re selling a transition. Your ads need to make that transition look manageable.

Why most fintech advertising agencies are lying to you

Let’s talk about the people you’re paying to solve this problem.

Your agency probably told you they specialize in fintech. They showed you case studies. They talked about their experience with financial services clients.

But here’s what they actually specialize in: digital advertising tactics that work for e-commerce and SaaS.

They know how to optimize ad spend. They know how to improve click-through rates. They know how to build lookalike audiences and retargeting campaigns.

What they don’t know is how to build trust at scale.

And trust at scale is the only thing that matters in fintech advertising.

The tactics that work for selling software or consumer goods actively hurt you in fintech. High-frequency retargeting makes you look desperate. Aggressive discounting makes you look unstable. Hyperbolic claims make you look like a scam.

But your agency keeps running these plays because they’re optimizing for the metrics they understand: clicks, conversions, cost per acquisition.

None of those metrics measure trust. And trust is what you’re actually trying to build.

The internal team problem

It’s not just agencies. Your internal team might be making this worse.

Because here’s what happens: someone from product or engineering sees a competitor’s ad. That ad makes bold claims about speed or features. Your team panics and says, “We need to match that message.”

So you do. You make the same bold claims. You emphasize the same features. You chase the same positioning.

And you end up in a race to sound like everyone else.

The solution requires something most teams struggle with: strategic patience.

You need to commit to being the boring, trustworthy option for at least six months. Maybe a year. You need to accept that your ads won’t win creativity awards. They won’t go viral. They won’t generate excitement in your internal Slack channel.

But they will build the foundation you actually need.

The channel strategy that actually works for fintech

Where should fintech companies advertise? The answer is not where you think.

Most fintech advertising lives on Meta and Google because those platforms have scale. But scale is useless if you’re building the wrong thing at scale.

Here’s the channel strategy that makes sense:

Owned Media First

Before you spend a dollar on paid advertising, your owned channels need to work. Your website, your blog, your email list, these are where trust gets built.

Why? Because advertising gets people to investigate you. And when they investigate, they’re going to read everything you’ve published. If your owned content is shallow or promotional or inconsistent, your advertising just drove people to evidence that you’re not trustworthy.

Fix your owned media first. Make it substantive. Make it honest. Make it something a skeptical buyer would read and think, “Okay, these people know what they’re doing.”

Community Platforms Second

Fintech buyers hang out in specific places. Reddit’s personal finance communities. Hacker News. Industry-specific Slack groups and Discord servers.

You can’t advertise in these spaces traditionally. But you can participate. And participation builds credibility in ways advertising never will.

The metric here isn’t reach. It’s depth of engagement. One person who sees you consistently providing helpful answers in their community is worth more than a thousand impressions on a display ad.

Paid Media Third

Only after you’ve built owned media and established community presence should you consider paid advertising. And when you do, the strategy is simple: use paid media to amplify what’s already working.

If you wrote a piece about how fintech companies should handle regulatory compliance, and it got traction organically, promote that. Don’t create an ad about how great your compliance tools are. Promote the thing that already proved it provides value.

This is the opposite of how most fintech companies approach paid media. They create promotional content and then try to force distribution. The better approach is to create useful content, validate it works, then scale it with paid promotion.

The creative execution that stops looking like every other fintech ad

Let’s get tactical about what your ads should actually look like.

First, kill your brand guidelines. Or at least ignore them for advertising.

Your brand guidelines were probably created to make you look innovative and modern. Gradients. Sans-serif fonts. Abstract imagery. The same visual language every fintech company uses.

This makes you blend in when you need to stand out. More importantly, it makes you look like a risk when you need to look safe.

Better creative direction for fintech advertising:

  • Use real photographs of real people, not illustrations or stock imagery
  • Show actual product screenshots with real data (redacted if necessary)
  • Include specific numbers and dates to ground your claims in reality
  • Make your ads look more like articles than advertisements

The goal is to break the pattern of what fintech advertising looks like. Because that pattern screams “untrustworthy startup trying too hard.”

The copy that actually builds trust

Your ad copy needs to do something most marketing copy doesn’t: acknowledge reality.

Reality: switching financial products is annoying. Reality: you’re probably skeptical of new fintech companies. Reality: security breaches happen and you’re worried about that.

Most fintech ads pretend these realities don’t exist. They write copy that assumes the buyer is already convinced and just needs a reason to act.

Better approach: write copy that meets buyers where they actually are.

“Still using spreadsheets to track expenses because you don’t trust fintech apps? We get it. Here’s what we do differently.”

That opening does more for trust than any claim about being “the most secure platform” ever could.

The measurement problem nobody wants to fix

You can’t manage what you don’t measure. Everyone knows this.

But fintech advertising measures the wrong things. You measure clicks and conversions when you should measure trust indicators.

What are trust indicators?

  • Time spent on your security documentation page
  • Number of return visits before conversion
  • Completion rate of your compliance explainer content
  • Support ticket volume from new users (lower is better, suggests clearer communication)

These metrics tell you if your advertising is building trust. Traditional metrics just tell you if people clicked.

The problem is these trust metrics are harder to track and harder to report to stakeholders. It’s easier to show a dashboard with rising click-through rates than to explain that you’re optimizing for a longer consideration cycle because that’s what builds sustainable growth.

But if you’re serious about fintech advertising that works, you need to be serious about measuring what actually matters.

If your advertising isn’t building trust, it’s building skepticism

Here’s the uncomfortable truth: neutral advertising doesn’t exist in fintech.

Every ad you run either builds trust or erodes it. There’s no middle ground.

When you make claims you can’t back up, you build skepticism. When you ignore the real concerns your buyers have, you build skepticism. When you sound like every other fintech company, you build skepticism.

And skepticism is expensive. It increases your customer acquisition cost. It lengthens your sales cycle. It reduces your conversion rate. It creates churn.

The solution isn’t better tactics. It’s better strategy.

Strategy that acknowledges fintech advertising is really trust advertising. Strategy that measures the right things. Strategy that commits to being substantive instead of flashy.

Strategy that understands you’re not competing for attention. You’re competing for permission to be trusted with someone’s financial life.

That’s a different game entirely. And it requires advertising that plays by different rules.

Foxconn Bets Big: The $1.4 Billion Nvidia-Powered Cluster Aims to Reiterate Taiwan's AI Map
News

Foxconn Invests $1.4B in Nvidia-Powered AI Cluster in Taiwan

Foxconn Invests $1.4B in Nvidia-Powered AI Cluster in Taiwan

Foxconn and Nvidia are building a $1.4 billion super-computing centre in Taiwan by H1 2026- a bold move into AI hardware scale for the assembly giant.

Foxconn isn’t just assembling phones anymore. It’s stepping up its game. Partnering with Nvidia is no small feat. Especially, to build a 27-megawatt, $1.4 billion advanced GPU cluster in Taiwan. And promised for completion by the first half of 2026.

It’s more than a data centre announcement.

It marks a strategic pivot. Foxconn, known as THE contract manufacturer behind smartphones, is now positioning itself as a provider of high-end AI infrastructure. Nvidia’s GB300 chips will power these clusters and will be Asia’s first such facility.

The logic is solid: hardware demand for AI is surging, cloud and compute services firms are hungry, and economies of scale matter. As Nvidia put it, building individual facilities may soon be less economical than renting compute as a service.

Foxconn clearly wants a seat at that table. But it comes with risks.

Execution is ambitious.

The setup demands steady power, cooling, and sourcing of cutting-edge chips. And matching the rapid pace of AI demand. Any delay or mismatch could undercut returns. For Foxconn, already moving beyond electronics into electric vehicles and AI infrastructure, this is a bet on further diversification.

In short, Foxconn is challenging conventional roles.

It’s not just making hardware for others anymore. It’s building the hardware others will rely on. If this lands on time and at scale, Foxconn could rewrite its identity. If not, it may have bitten off more than the succeeding assembly line.

AI Use Cases For Marketers
Blogs

AI Use Cases For Marketers

AI Use Cases For Marketers

AI use cases are many. But AI is eroding marketing trust- what’s wrong? The way marketing teams are using it. Here’s a better way.

“Our first point of contact with most information is rarely the information itself but some lossily compressed derivative that’s already been processed and strained through a dozen layers of reinterpretation.” – The Theory of Dumb by Lane Brown, New York Magazine (2025)

In an article about AI use cases for marketers, information must take front stage. As the quote says, and everyone has come to understand, the quality of information available has been degrading.

But why does this matter to us and the use cases for marketing? Because marketing, as a function, must reclaim and stand against the en-shittification of the internet. The reason behind this is simple: if the internet becomes desolate and untrustworthy, marketing as a function will be affected.

And do you need numbers to prove this? Marketing is equated with noise. It’s called marketing noise for a reason. And AI magnifies this noise and transforms content into slop. And slop it is.

Who are marketing teams producing this content for?

  1. It’s Google’s ranking systems to bring in more buyers.
  2. AI LLMs that can be hacked to bring in more buyers.

This buyer-attracting focus has made marketing teams less buyer-centric and more spammy. The industry must not fall prey to this. But you may think that this is not true- marketing is still appreciated, right?

This is partially true. Great marketing is still reaching people, but observe and see that many marketing campaigns are appreciated by fellow marketers.

Marketing is threatened by its own echo chamber. And AI will make it worse- unless everyone decides to stop and take action. The good news is that AI itself will help the industry get there, while positioning itself as the function of the AI era

The potential of marketing has never been this infinite, nor this polar. Depending on the usage, AI will change the industry for the better or worse. The goal of this article is to persuade you to a better way.

What is AI’s role in marketing?

AI has affected marketing and developers the most. After all, intelligence replaces intelligence. That’s why organizations laid off many marketing and development teams and tried to replace them with machines, only to call them back.

But as it stands, AI is still a threat to knowledge work as it becomes better and better. There’s a growing debate that the thinking machines will hit a wall. And as with all things tech, that wall will eventually be overcome by a new innovation.

So AI might be a mainstay for at least the next few decades, conservatively.

We know two things:

  1. AI slop is real, and people can identify AI after they see the patterns emerge. The patterns become repetitive after a point.
  2. Automation has made things easier, and with intelligence in the mix, it is no longer necessary to physically create messages. The AI does it based on the segment.

These two realities have eroded trust in marketing. Organizations are just vying for similar buyers. If you are a manager or above, reading this, you must get calls daily.

Buy this and buy that. Please hop on our 15-minute call to show you our solution.

And now AI telemarketers and SDR agents have increased the number of calls an organization makes.

The use of AI in marketing today has been that of the factory, churning out messaging to the buyers at light speed.

Yes, there’s also market research, report creation, and strategy (god forbid), but teams are using AI tools as a volume farm. Usually, because marketing teams know their product needs volume, either because it doesn’t solve a core problem or the market is highly competitive.

But as all contradictions go, this one will be solved by itself. AI can fix AI slop.

The question is how?

AI Use Cases for Marketers

Okay, let’s put marketers into two camps:

  1. Storytellers
  2. Strategists and Analysts

All marketers belong to one of two camps, depending on the campaign. So the strategies and use cases can be interchanged depending on which hat you’re using. You must choose the distinction you’re going for.

The difference exists because there are two different things.

You have to be a storyteller to battle slop and a strategist and analyst to understand what the customer wants.

AI use case 1: Storytelling or Content Creation (call it what you may)

Okay, content creation with AI sucks. The pattern repeats, and there are ample logical mistakes it makes. But why is that? Well beyond someone not editing the articles, the second part is not knowing what you’re doing.

For example, the article has an AI-written paragraph; if you can guess which, you win.

The difference between the paragraph and slop is simple: the intent behind it. A lot of articles, videos, and scripts- if you open Instagram or YouTube, you know what this means- sound exactly the same.

They don’t have any intent beyond self-promotion. And that’s where they falter.

Plug in your perspective in the LLMs or content creation tools, and you will see a difference in quality. Then feed it your own original messaging and positioning, and see it improve.

Even free tiers of ChatGPT and Claude start to sound original. But it requires you to have knowledge about the thing you’re writing about. Without it, you are creating slop of the highest kind.

It has no thought. It has no perspective. It is a thing about a thing. Not the thing itself. And you’re adding to the erosion of trust.

AI use case 2: Product Experience and Tool Creation

No. This does not mean the abuse of your Lovable credits, though it does mean thinking of AI not just as an assistant but as a co-creator.

Many AI tools are either the controller or the assistant. But one perspective that isn’t often heard or accepted is that it can be a co-creator of experiences. Think about this, you have a blog or website- but someone on Instagram is outselling you, whether that’s services or products. Why? They have realized how to use Instagram’s superior product experience and algorithm to their advantage.

AI can and will decentralize this- how?

  1. This is a prediction; feel free to disregard this point, but AI will soon start giving algorithmic recommendations- this will become the context or the illusion of it. So that means people who integrate AI will be able to personalize their product and website experience based on the segment or individual.
  2. Your current AI systems are not glorified chatbots and information management systems; if used right, they improve your experiences. You can create tools that your buyers want based on their journey. Think of content, right? What are they but experiences of other people? AI can collate this experience into a framework that can be played with.
    1. For example, a simple tool that, if you put the details of your ICPs, can give probabilistic answers of what messaging might work for them. And if you add an RAG function, based on your own user data, imagine the power of this tool. It would give answers based on data that you thought were unconnected.

The trick is always to use the tool in ways that are simple yet uncommon. You already have a lot of power (data) as a marketer. What can you do with it? You can create things with AI that aren’t content but tangible, free products that deliver experiences.

Instead of a blog, you can give them an actual tool to play with. It’s democratizing the HubSpot approach and dialing it to eleven.

AI use case 3: Channel Management

This use case is quite common. Every marketer knows what the omnichannel experience is, yet it eludes most.

The main challenge of the omnichannel experience is data silos and organizational context. Yes, this is a simplified explanation. The developers will be better suited to explain what you ought to do. But there is a solution here: AI helps unify data because it is currently the best information management system.

Of course, there are biases; that’s why there should be a context layer- these could be your MCPs or other custom methods that you use to unify all your data points.

One answer that Satya Nadella gives is the semantic embedding of data into one layer that the AI systems can use as context. One of the most powerful applications of this idea is channel management. It can help marketers: –

  1. Orchestrate the omnichannel experience.
  2. Divert resources to channels that show high growth potential.
  3. Predict user behavior and direct their actions in subtle ways.

While these ideas are not novel, they are not being represented in conversations about the positive change of AI in business. However, this does raise a huge ethical dilemma: the control of your users’ minds. With AI in the mix, as it becomes smarter, the sophisticated recommendations and experiences will affect the users.

The power of this implication is vast, and you, as a marketing leader, need to be aware of this.

AI Use Case 4: Audits

A quick question: when you or your team can’t solve a problem because you’re too invested in it, who are you turning to?

For many teams, it is AI. There’s a good chance that if you don’t understand something, you can ask ChatGPT (or whichever LLM you prefer). This gives you data or something akin to an answer that you already knew but didn’t want to vocalize. Now, you have a third person, “unbiased” view of your problem.

But LLMs are not quite there yet, creatively. They can give you past answers, but never what can be created, which makes them perfect for audits.

The most powerful AI use case is its ability to audit systems and data, and provide predictions based on its probabilities. This does require RAG integration and should not be overlooked.

For example, a recent audit you can run is this: how does your website stack against your competitors based on your audience’s behavior?

The AI will give you probabilistic scenarios based on their behavior and patterns.

Marketers need to think about AI as a creative enhancer.

The use cases presented to you aren’t the only ones. They are the result of asking a simple question: what if?

Marketers need AI to do one thing, in an ideal scenario: break out of conventional thinking. Aren’t there many ways to solve a problem? But revenue waits for no one. If a function doesn’t bring in money and prove its tangible impact, why does it even exist?

That is the consensus of many.

Marketing must not devolve into noise by producing more volume, more doing. Instead, it needs machines that help teams focus- and prove the impact. This is what AI can do.

But only when used effectively. To break constraints. To make sense of the data. And prove it.