Hi there,
Thanks for reaching out regarding your question about increasing your ad budget. It's a common one, but the standard advice you've heard about the '20% rule' often misses the bigger picture, especially when you're just starting out with a small budget in the B2B space. Tbh, your budget is the least of your worries right now; we need to look at your overall strategy first.
TLDR;
- The 20% budget increase rule is completely irrelevant for a $5/day campaign. You can and should increase it to $10-$15 immediately to get data faster. Sticking to the rule here is just wasting your time.
- Your real problem isn't budget scaling, it's data velocity. A tiny budget starves the Facebook algorithm, meaning it can't learn who your customers are. For B2B, this is a recipe for failure.
- The most important piece of advice is to stop thinking about demographics and start defining your Ideal Customer Profile (ICP) by their specific, urgent, and expensive 'nightmare problem'. This is the foundation of all effective B2B advertising.
- Your offer is probably killing your campaign before it even starts. The standard "Request a Demo" call to action has high friction and low perceived value. You need an offer that provides instant value to earn a prospect's time.
- This letter includes an interactive calculator to help you figure out your customer LTV and what you can actually afford to spend to acquire a customer. This shifts your mindset from "cost-saving" to "strategic investment".
Let's talk about that 20% rule...
Alright, first things first. That rule about only increasing your budget by 20% a week? You can forget about it for now. Honestly, it's one of those bits of advice that gets repeated so often people think it's a universal law, but it's really meant for large, established campaigns spending hundreds or thousands a day.
The logic behind it is that a sudden, massive budget change can shock the system, forcing the campaign out of the 'learning phase' and making performance unstable while the alogorithm recalibrates. But on a $5 a day budget, your campaign is barely even learning in the first place. It’s like worrying about adding an extra drop of water to an empty bucket. You're getting so little data each day that there's no stable performance to disrupt. The algorithm needs a consistent flow of data to optimise properly, and $5 just isn't enough to provide that, especially in the competitive B2B world.
So, to answer your direct question: yes, absolutely increase your budget to $10 or $15 a day right now. Doubling or tripling it at this level won't hurt anything. In fact, it's the only way you're going to get enough data to make any real decisions. The advice you got about a bigger budget and shorter testing timeframe is spot on.
Your real problem isn't scaling, it's data velocity...
This brings me to the core issue. Your problem isn't how to scale; it's that you're operating at a speed that makes effective testing almost impossible. Let's call it 'data velocity'. Think of it this way: Meta's algorithm needs about 50 conversions (like leads or sign-ups) within a 7-day period to properly exit the learning phase and start optimising effectively.
Let's do some quick, rough maths. In B2B, a click can easily cost $5 or more. On a $5 daily budget, you might be getting one click per day. If your landing page converts at a very optimistic 10%, you'd need 10 clicks to get one lead. At one click per day, that's one lead every 10 days. To get the 50 conversions Meta needs for optimisation, it would take you 500 days. You can't run a business waiting over a year to find out if an ad works.
By increasing your budget to, say, $50 a day, you could theoretically get 10 clicks a day, one lead a day, and hit your 50 conversions in under two months. That’s still slow, but it's a world of difference. You need to feed the machine enough data, quickly enough, for it to do its job. A low budget feels safe, but it often guarantees failure because you never learn anything. You just burn cash slowly instead of quickly finding out what works.
You'll need to define your ICP by their nightmare, not their demographics...
Now for the most importent part. Before you spend another dollar, you have to get brutally honest about who you're targeting. "B2B" is not a target audience. It's a category. Forget the sterile profiles like "companies in the tech sector with 50-100 employees". That tells you nothing useful and leads to generic ads that nobody clicks on.
You need to define your Ideal Customer Profile (ICP) by their pain. Their specific, urgent, expensive, career-threatening nightmare. Your customer isn't a job title; they're a person staring at a problem that keeps them up at night. For example, one B2B software client we worked with wasn't selling "contact data enrichment"; they were selling a solution to a Head of Sales's nightmare: watching his best reps waste half their day on manual research instead of closing deals, knowing they'll miss quota and he'll have to answer for it.
Once you've identified that nightmare, your targeting becomes clear. Where does this person go to find solutions? What podcasts do they listen to on their commute? What industry newsletters do they actually read? What software tools (like HubSpot, Salesforce, etc.) do they already use? Are they in specific Facebook groups? Do they follow certain influencers on LinkedIn?
This intelligence is the blueprint for your targeting on Facebook. You stop targeting broad interests like "small business owners" and start targeting interests like "SaaS-sy," followers of "Jason Lemkin," or people who have shown interest in complementary software. This is the work you must do first. Without it, you're just shouting into the void.
You probably should calculate what you can *afford* to pay...
This whole conversation about a $5 budget suggests you're thinking about cost, which is natural. But the real question isn't "How little can I spend?" It should be "How much can I profitably afford to spend to acquire a great customer?" The answer to that lies in a simple but powerful metric: Customer Lifetime Value (LTV).
Let's break it down. You need three numbers:
- Average Revenue Per Account (ARPA): What's the average amount a customer pays you per month?
- Gross Margin %: After your cost of goods sold, what percentage is profit? For SaaS or services, this is often high, maybe 80-90%.
- Monthly Churn Rate: What percentage of your customers cancel each month?
The formula is: LTV = (ARPA * Gross Margin %) / Monthly Churn Rate
Let's say your ARPA is $300, your gross margin is 80%, and your monthly churn is 5%.
LTV = ($300 * 0.80) / 0.05 = $240 / 0.05 = $4,800.
In this scenario, each customer is worth $4,800 in gross margin to your business over their lifetime. A healthy business model often aims for a 3:1 ratio of LTV to Customer Acquisition Cost (CAC). This means you could afford to spend up to $1,600 (4800 / 3) to acquire a single new customer.
If your sales process converts 1 in 10 qualified leads into a paying customer, you can afford to pay up to $160 per lead. Suddenly, worrying about a $5 daily budget seems a bit silly, doesn't it? This math is what separates businesses that timidly test the waters from those that grow aggressively and intelligently.
Use the calculator below to get a feel for your own numbers. It might surprise you what you can actually afford to invest in growth.
I'd say you need to ditch the 'Request a Demo' button...
Finally, let's talk about the single most common failure point I see in B2B campaigns: the offer. I'm willing to bet your ad leads to a page with a "Request a Demo" or "Contact Sales" button. This is probably the most arrogant call to action in marketing. It presumes your prospect, a busy professional, has nothing better to do than book a meeting to sit through a sales pitch.
It's high-friction and offers zero immediate value. It instantly frames your product as a commodity and forces the prospect to do all the work. Your offer's only job is to provide a moment of undeniable value—an "aha!" moment that makes them want to learn more.
So, what's a better offer?
- For SaaS: A free trial (no credit card required) or a freemium plan. Let them use the actual product and experience the value for themselves. When the product sells itself, the sales team's job becomes much easier. I remember one campaign for a B2B software client where we generated 4,622 registrations at a cost of just $2.38 per registration.
- For Services/Consulting: Bottle your expertise into a high-value asset. This could be a free, automated audit tool, a benchmark report, a short interactive video course solving a tiny piece of their problem, or a free 20-minute strategy session where you provide genuine advice (like this!).
You must solve a small, real problem for free to earn the right to solve their bigger problems for a fee. Ditch the demo request and give them something valuable upfront.
I've detailed my main recommendations for you below:
To pull this all together, here is a summary of the steps I'd recommend you take, moving away from just tinkering with the budget and towards building a proper advertising strategy.
| Area | Current Problem | Recommended Action |
|---|---|---|
| Budget | $5/day is too low to gather data ('low data velocity'), making testing ineffective and slow. The 20% rule is irrelevant. | Increase budget immediately to at least $15-$25/day to start gathering meaningful data. Plan to scale further once you have a validated offer and audience. |
| Targeting (ICP) | "B2B" is too broad. Demographic targeting is weak and leads to generic, ineffective ads. | Define your ICP based on their "nightmare problem". Identify their specific pain points and use that to guide your interest and behavioural targeting on Meta. |
| The Offer | A "Request a Demo" or similar call to action is high-friction and offers no upfront value, leading to low conversion rates. | Create a value-first offer. This could be a free trial, a freemium plan, a useful tool, a free audit, or a valuable piece of content that solves a small problem for them instantly. |
| Measurement | Focusing on a low daily spend without understanding the underlying business metrics (LTV, CAC). | Calculate your LTV to understand what you can truly afford to spend to acquire a customer. Shift your mindset from minimising cost to maximising profitable investment. |
As you can see, effective paid advertising is much more than just setting up a campaign in Ads Manager. It's about deep strategic thinking: understanding your customer, calculating your business maths, and crafting an irresistible offer. It's not easy, and it takes experience to get right, which is why many businesses choose to work with specialists.
I hope this has been helpful and gives you a clearer path forward. If you'd like to chat through your specific situation in more detail, we offer a free, no-obligation initial consultation where we can look at your strategy together.
Regards,
Team @ Lukas Holschuh