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Google Ads Experiments: How to Run an A/B Test That Actually Proves Something
Your experiment ended on Tuesday. The variant won on conversions, lost on cost per conversion, and moved in a direction you can defend to a client but not to yourself, because you changed the landing page, the headline, and the bidding strategy all at once. So when you last called a test a winner, how many variables had you actually changed? Google will still hand you a winner either way: auto-apply ships winning variants into live campaigns by default, and the confidence level it reads from is 80%, not 95%. A test that fails is a cheap lesson. A test that succeeds at something you never meant to measure is a change you cannot undo.
Martin J.CompareSep 12, 2026Market Research Techniques: 12 Methods You Can Actually Run This Quarter
Your quarterly plan says the positioning decision was informed by research. Now find the research. Most marketing teams cannot, because the plan cited research and the only techniques the team actually ran were a competitor page and a gut check. Here are 12 techniques grouped by what they answer, what they cost and what they cannot tell you.
Martin J.CompareSep 12, 2026Google Ads Audience Segments: Which Type to Use (and Why Yours Aren't Showing)
You built the segment. You applied it. Then Google quietly decided not to serve it. There is no alert for that, no red flag in the interface, and no line in your weekly report saying your audience never entered the auction. It sits in the campaign while the budget goes somewhere else, and the account still looks healthy. When did you last verify whether your audience was observing your traffic or restricting it? Those are two different campaigns wearing the same name. The part Google's documentation leaves out is which one fits your goal, and what to check when none of them show up.
Martin J.CompareSep 11, 2026Market Research Tools: How to Pick One Without Buying Five (2026)
There is a market research subscription on your card you could not defend out loud if asked, and it has not changed a decision since. If every research tool you pay for had to name the decision it changed, how many would survive?
Martin J.CompareSep 11, 2026Google Ads Cost Estimator: What a Realistic Budget Looks Like (2026)
Type an industry into a Google Ads cost estimator and a number comes back: clean, confident, formatted to two decimal places. It reads like a forecast. It is closer to a guess that somebody else's account already made on your behalf. Somewhere between the cost per click and the conversion rate it used, one of those is probably wrong for your business by a factor of five, and the tool has no way to tell you which one. Almost every calculator on that first page was built to collect an email address, not to survive contact with your account. So which of its inputs have you ever actually verified, and what is the unverified one costing you every month? Every tool on that page is answering a question you didn't ask.
Martin J.CompareSep 11, 2026DTC Marketing: What Direct-to-Consumer Marketing Actually Changes (and What It Costs You)
Going direct felt like freedom. No retailer deciding whether your product deserves shelf space, no distributor taking their cut, nobody standing between you and the person who buys what you make. Then the invoices started arriving. Ad spend, creative production, the returns process, the attribution tool, every cost a retailer used to absorb on your behalf. That was the trade, and nobody put it on one page when you signed up for it. So here is the awkward question: do you actually know what your CAC has to be for this model to work, or are you still running on a number somebody set in 2021? The brands I audit can quote their ROAS to two decimal places and cannot tell me their contribution margin on a single order. One of those numbers decides whether you are still here in two years.
Martin J.CompareSep 10, 2026Best AI Agents 2026: The Ones That Actually Do Marketing Work
The AI agent lists you keep scrolling rank vendors, not results. I tested the real shortlist against the jobs a marketing team does weekly and scored which agents actually finish the work. Would yours survive the same test?
Martin J.CompareSep 9, 2026AI Content Strategy: How Content Teams Actually Run It in 2026
AI made content cheap. It also made content strategy the bottleneck — just as most teams were getting comfortable with keyword research, the rules doubled. You now compete on two search surfaces at once: classic results, and the AI answers that sit above them and increasingly take the clicks. Your tools can produce ten times more content than last year, which is exactly why guessing what to make next is now the most expensive habit you have. Only 19% of marketing teams track AI-specific KPIs, so most teams scale volume without knowing whether any of it works. The teams that win run an operating model — research, briefs, production, measurement, refresh — with AI inside every step and a human at the gates. So here's the question for your next planning session: which loop is your team actually running?
Martin J.CompareSep 9, 2026
Your competitors are already using AllAble. Are you?
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