Published on 9/19/2025 Staff Pick

London Facebook Ads: Stop Wasting Money (Expert Guide)

Inside this article, you'll discover:

    • Uncover why manual ad scheduling hurts your campaign's performance and what to do instead.
    • Learn how to define your ideal customer beyond demographics to create ads that resonate.
    • Use our LTV calculator to determine how much you can actually afford to spend on acquiring a customer.

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TLDR;

  • Stop worrying about the "best time" to run your ads. Meta's algorithm is smarter than you are at finding the right moments. Manually scheduling ads often harms performance by restricting the machine learning process.
  • The real reason your ads are failing is likely your targeting, message, or offer. Your Ideal Customer Profile (ICP) isn't a demographic; it's a specific, urgent, and expensive problem you solve.
  • You're probably underestimating what you can afford to pay for a customer. You must calculate your Customer Lifetime Value (LTV) to understand your true allowable Customer Acquisition Cost (CAC). This article includes a fully interactive LTV calculator to do just that.
  • Ditch weak calls-to-action like "Request a Demo." Instead, offer something of immediate, tangible value for free to prove your expertise and earn the right to have a sales conversation.
  • Using campaign objectives like "Reach" or "Brand Awareness" is literally paying Facebook to find you the worst possible audience—people who are cheap to show ads to precisely because they never click or buy. Always optimise for conversions.

I get asked this a lot, especially by London founders: "When is the best time to run my Facebook ads?" It seems like a sensible question. You want to show your ads when people are most likely to see them and act, right? But I'm going to be brutally honest with you – if you're asking this question, you're focusing on the wrong problem entirely. It's a distraction from the real reasons your campaigns are probably bleeding cash.

The idea of a magical "best time" is a relic from the old days of advertising. Today, you're not just buying a time slot; you're tapping into one of the most sophisticated machine learning systems on the planet. Its entire job is to find the right person at the right moment they are most likely to convert, whether that's at 3 AM during a bout of insomnia or on their lunch break in a Soho cafe. By trying to outsmart it with manual ad scheduling, you're not helping. You're tying one of its hands behind its back.

The performance issues you're seeing have almost nothing to do with timing and everything to do with three things: who you're talking to, what you're saying, and what you're asking them to do. Get those right, and the algorithm will figure out the "when" for you, far better than any manual schedule ever could. Let's get into the real reasons your London-based ads are failing and how to actually fix them.

So, why is manually scheduling ads a bad idea?

It feels counter-intuitive, I know. You want control. But in this game, giving the algorithm controlled freedom is how you win. When you set a campaign objective—let's say 'Sales'—you're telling Meta's system, "Go find me people who are most likely to buy my product, whenever and wherever they are." The algorithm then enters a 'learning phase'. It tests showing your ads at different times, to different slivers of your audience, to see what gets results. It learns that people interested in your B2B software tend to convert during office hours, while customers for your e-commerce brand buy late at night while scrolling on the sofa. It does this automatically.

When you step in and say, "Only show my ads from 9 AM to 5 PM," you cut that learning process off at the knees. You might be missing out on a huge pocket of customers who convert at 8 PM. You're also forcing the algorithm to spend your entire daily budget within a compressed timeframe, which can drive up your costs as it competes more aggressively in the ad auction during those specific hours. We've seen it time and again; removing manual schedules often leads to a drop in CPA. The platform needs 24/7 data to properly optimise. In fact, we often find that turning off ads at night can actually make things worse, not better.

Think of it like this. You've hired a world-class delivery driver who knows every street and traffic pattern in London. Manual scheduling is like telling them they're only allowed to use the A40 and can't deliver after 4 PM. You're just making their job harder and the results will be worse.

The Wrong Way (Manual Scheduling)
You guess the 'best times' (e.g., 9-5)
You restrict the algorithm's learning
Algorithm forced to spend budget in a short, competitive window
Higher costs, missed opportunities, poor performance
The Right Way (Always-On)
You give the algorithm a conversion goal (e.g., Sales)
Algorithm tests all 24 hours to find conversion patterns
It automatically allocates budget to the most profitable times
Lower costs, maximised conversions, better performance

A comparison of workflow and outcomes between manual ad scheduling and an always-on, algorithm-driven approach. The latter consistently leads to better optimisation and results.

What's the real problem then? It starts with your customer.

If not scheduling, what's broken? Nine times out of ten, it’s your understanding of the customer. Most businesses, especially in the B2B space, define their Ideal Customer Profile (ICP) with sterile demographics. "We target fintech companies in London with 50-200 employees." This tells you absolutely nothing useful for writing an ad that actually connects with someone.

You need to stop thinking in demographics and start thinking in nightmares. What is the specific, urgent, expensive, career-threatening problem that keeps your ideal customer awake at night? Your ICP isn't a job title; it's a problem state.

For a London-based legal tech SaaS, the nightmare isn't 'needing document management'. It's 'a senior partner at a Magic Circle firm missing a critical filing deadline because of a document versioning error, exposing the firm to a multi-million-pound malpractice suit.' For a fractional CFO service targeting startups around the Old Street Roundabout, the nightmare isn't 'needing financial advice.' It's 'running out of cash in six months, having to lay off the team they love, and seeing their dream die because they couldn't get their financial model straight for the next funding round.'

When you understand the problem at this level, your targeting changes. You're not just targeting "Job Title: Head of Engineering." You're targeting members of specific tech meetup groups in London, people who follow certain tech influencers, or using layered interests like "AWS" + "Venture Capital". You can create ads that speak directly to their pain. This is how you stop the scroll. If your ads are failing, it's because your message is generic, and your message is generic because you haven't truly defined the problem you solve. A deep understanding of your customer's pain is the first step, and if you're struggling with this, here's a guide to help you find your ideal customer and improve your ad ROI.

Do you even know what a London customer is worth?

The next reason your campaigns are failing is that you're probably optimising for the wrong thing: cheap leads. You're scared of a high Cost Per Lead (CPL) or Cost Per Acquisition (CPA) because you haven't done the maths on what a customer is actually worth to you over their lifetime.

The real question isn't "How low can my CPL go?" but "How high a CPL can I afford to acquire a truly great customer?" The answer is your Lifetime Value (LTV). Until you know this number, you're flying blind.

Let's do a quick calculation. You'll need three numbers:

  • Average Revenue Per Account (ARPA): What do you make per customer, per month?
  • Gross Margin %: What's your profit margin on that revenue?
  • Monthly Churn Rate: What percentage of customers do you lose each month?

The formula is: LTV = (ARPA * Gross Margin %) / Monthly Churn Rate

Let's say you're a London-based B2B SaaS. Your ARPA is £400/month, your gross margin is 80%, and your monthly churn is 5%.
LTV = (£400 * 0.80) / 0.05 = £320 / 0.05 = £6,400.

Each customer is worth £6,400 in gross margin. A healthy LTV to Customer Acquisition Cost (CAC) ratio is at least 3:1. This means you can afford to spend up to £2,133 to acquire a single customer (£6,400 / 3). If your sales process converts 1 in 10 qualified leads into a customer, you can afford to pay up to £213 per qualified lead. Suddenly that £150 lead from a LinkedIn campaign doesn't seem so expensive, does it? It looks like a bargain. This is the maths that unlocks aggressive, intelligent growth and frees you from the tyranny of cheap, low-quality leads.

Use the calculator below to figure out your own LTV and what you can truly afford to spend.

Customer Lifetime Value (LTV)
£10,000
Max. Target CAC (3:1)
£3,333
Avg. Customer Lifetime
25.0 months

Use this interactive calculator to estimate your Customer Lifetime Value (LTV) and maximum affordable Customer Acquisition Cost (CAC). Adjust the sliders for your business metrics to see your numbers. Results are for illustrative purposes only. For a tailored analysis, please consider scheduling a free consultation.

Is your message actually connecting, or just adding to the noise?

Once you know who you're talking to (their nightmare) and what they're worth (their LTV), you need to craft a message that resonates. The London market is one of the most competitive on Earth. Your ad is fighting for attention against everything else in a person's feed. Generic, feature-led copy gets ignored.

You need to speak directly to their pain using a proven copywriting framework. For a B2B service, I prefer Problem-Agitate-Solve. You don't sell "outsourced accounting services"; you sell peace of mind.

Ad Copy Example (Fractional CFO):

  • Problem: "Are your cash flow projections just a shot in the dark?"
  • Agitate: "Are you one bad month away from a payroll crisis while your competitors are confidently raising their next round from Hoxton Ventures?"
  • Solve: "Get expert financial strategy for a fraction of a full-time hire. We build dashboards that turn uncertainty into predictable growth."

For a B2B SaaS product, you can use the Before-After-Bridge framework. You don't sell a "FinOps platform"; you sell the feeling of relief.

Ad Copy Example (Cloud Cost Platform):

  • Before: "Your AWS bill just arrived. It’s 30% higher than last month, and your engineers in your Shoreditch office have no idea why. Another fire to put out."
  • After: "Imagine opening your cloud bill and smiling. You see where every pound is going and waste is automatically eliminated."
  • Bridge: "Our platform is the bridge that gets you there. Start a free trial and find your first £1,000 in savings today."

Notice how these examples are specific and emotional. They use details relevant to the London scene ("Hoxton Ventures," "Shoreditch office") to build rapport and show you understand their world. This is what it takes to cut through the noise. Often, the reason London ads get clicks but no conversions is a fundamental mismatch between the ad's promise and the landing page's message.

Your final mistake: The "Request a Demo" button is killing your conversions.

This brings us to the most common failure point in all of B2B advertising: the offer. The "Request a Demo" button is possibly the most arrogant Call to Action ever invented. It presumes your prospect, a busy London decision-maker, has nothing better to do than book a 30-minute slot in their diary to be sold to. It's high-friction, low-value, and instantly positions you as just another commodity vendor.

Your offer's only job is to deliver a moment of undeniable value—an "aha!" moment that makes the prospect sell themselves on your solution. It has to solve a small, real problem for them, for free, right now.

For SaaS founders, this is your huge advantage. The gold standard is a free trial or a freemium plan (no card details required). Let them use the actual product. Let them feel the transformation. When the product itself proves its value, the sale becomes a formality. I remember one of our B2B SaaS clients generated 1,535 trials using this exact approach, because the offer was irresistible.

If you're not a SaaS company, you must bottle your expertise into a tool or asset that provides instant value. For a marketing agency, this could be a free, automated "London Local SEO Audit" that shows a business their top 3 keyword opportunities. For a corporate training company, it could be a free 15-minute interactive video module on 'Handling Difficult Conversations' for new managers. For us, as a B2B advertising consultancy, it's a 20-minute strategy session where we audit failing ad campaigns completely free of charge. You must give value before you ask for a sale. It’s the only way to earn trust.

What kind of business are you?
SaaS / Software Product?
Free Trial or Freemium Plan
Service / Consultancy?
Free Audit, Tool, or Strategy Call

A simple decision tree for choosing a high-value, low-friction offer. The goal is to provide immediate value to the prospect, not to force them into a sales call.

Are you paying Facebook to find non-customers?

There's one final, technical mistake I see all the time. Many businesses, in an attempt to "build brand awareness," set their campaign objective to "Reach" or "Brand Awareness." This is a catastrophic error. When you select these objectives, you are giving the algorithm a very specific command: "Find me the largest number of people for the lowest possible price."

The algorithm, being very good at its job, does exactly that. It seeks out the users inside your targeting who are least likely to click, least likely to engage, and absolutely, positively least likely to ever buy anything. Why? Because those users aren't in demand by other advertisers. Their attention is cheap. You are actively paying the world's most powerful advertising machine to find you the worst possible audience for your product.

The best brand awareness is a happy customer. Awareness is a byproduct of having a great product that solves a real problem, not a prerequisite for making a sale. For almost every small or medium-sized business, your campaign objective should be set to "Conversions" (or "Leads," "Sales"). This tells the algorithm to hunt for people who exhibit behaviours similar to your existing customers. It will cost more per impression, but you will be reaching people who actually have the potential to give you money. If you find your Meta ads are not working in the UK, this is one of the first settings you should check. The difference in audience quality is stark.

'Reach' Campaign
Low Purchase Intent
'Traffic' Campaign
Medium Purchase Intent
'Conversions' Campaign
High Purchase Intent

A visual representation of the typical purchase intent of audiences reached by different campaign objectives. 'Conversions' campaigns actively seek out users most likely to become customers.

So what should you do instead?

So we've established that obsessing over ad scheduling is a waste of time and the real levers you need to pull are your customer definition, your financial maths, your messaging, and your offer. This is where you should be spending 99% of your effort. When you get this foundation right, the tactical side of campaign management becomes much simpler. It frees you up to focus on what really matters, like scaling your campaigns profitably once you have a winning formula.

This isn't easy. It takes deep thinking, research, and a willingness to be brutally honest about your own business. It requires you to step out of the "what button do I press?" mindset and into the "what problem do I solve?" mindset. A lot of founders, especially in the tech-heavy London scene, get lost in the product and forget about the person they're selling to. The best paid advertising campaigns are built on a foundation of profound customer empathy.

I've detailed my main recommendations for you below:

The Common Mistake Why It's Hurting You The Expert Solution
Obsessing over ad scheduling and the "best time to run ads". You're micromanaging and crippling the algorithm, preventing it from finding the most profitable conversion opportunities for you. Set your campaigns to run 24/7. Trust the algorithm to optimise delivery based on your chosen conversion objective.
Defining your customer with broad demographics (e.g., "SMEs in London"). This leads to generic ad copy and targeting that speaks to no one and fails to connect on an emotional level. Define your Ideal Customer Profile by their specific, urgent, and expensive "nightmare" problem. Build your entire strategy around solving that pain.
Optimising for cheap leads without knowing your numbers. You're likely turning off potentially profitable campaigns because you're scared of a high CPL, leaving money on the table. Calculate your LTV to determine your true maximum allowable CAC. This empowers you to make intelligent, data-driven decisions about ad spend.
Using a weak, high-friction offer like "Request a Demo" or "Contact Us". You're asking for the prospect's time and commitment before you've provided any real value, leading to extremely low conversion rates. Create a high-value, low-friction offer. This could be a free trial, a freemium plan, an automated audit, or a valuable content asset. Solve a problem for free first.
Using "Reach" or "Brand Awareness" as your campaign objective. You are literally paying Meta to find the people least likely to ever become your customers because their attention is cheap. Always optimise for a conversion event (Leads, Sales, etc.). This tells the algorithm to find users who exhibit behaviours of actual buyers.

When you might need an expert eye

Getting all of this right—the strategy, the maths, the copy, the offer, and the technical setup—is a lot of work. It’s especially challenging in a hyper-competitive and expensive market like London. While you can absolutely make progress on your own, sometimes an expert eye can help you get there much faster and avoid costly mistakes. An experienced consultant or agency can bring a fresh perspective, having seen what works (and what doesn't) across dozens of accounts in different London-based industries. We've seen everything from reducing a SaaS client's CPA from £100 down to £7, to generating 4,622 registrations for another B2B software client at just $2.38 per registration.

The value isn't just in pressing the right buttons; it's in the strategic thinking that comes before a single pound is spent. It's about building a robust, repeatable system for acquiring customers profitably. If you’ve tried to fix things yourself but are still struggling to get the performance you need, it might be time to consider getting some help. A quick chat with an expert to review your account can often uncover the critical issues in less than 30 minutes.

If you'd like an expert pair of eyes on your campaigns to see why they might be underperforming, we offer a completely free, no-obligation strategy session. We can walk through your account together and give you some actionable advice you can implement right away.

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