The short version: Spend 30 to 40 minutes checking a tool's pricing page, review sites, and one live demo before you enter your card details, not after. Read the cancellation terms before the features list, because that's the page most companies hope you skip. And ask one uncomfortable question up front: will I open this thing on a Tuesday afternoon in three months, or will it join the graveyard of logins I never use.
Why I started doing this (after wasting real money)
In 2023 I signed up for a social scheduling tool because a LinkedIn post convinced me it would save my team hours every week. I paid annually to get the discount, £468 for the year, because the sales page made monthly look like the option for people who don't trust the product. Nine months in I'd logged in four times. The interface didn't match how my team worked, the "AI content suggestions" were generic rubbish, and cancelling meant emailing support and waiting five days for a reply that eventually asked me to explain why I wanted to leave, twice.
That one mistake taught me more about vetting software than any guide I'd read before it. Now I have an actual process, not a vibe. It takes less time than the sales call most of these companies will try to book you into, and it's saved me from at least six bad purchases since.
Start with the pricing page, not the homepage
Homepages are written to make you feel something. Pricing pages are where companies have to be honest, more or less, because they know you'll compare numbers against competitors. Look for these things specifically:
- Is there a genuine free trial, or just a "book a demo" button dressed up as one? If a company won't let you touch the product without a sales call first, that tells you something about how confident they are in the product selling itself.
- What happens at the tier above the one you want? Tools love to hide the feature you need one plan up, so you sign up cheap and get upsold within eight weeks.
- Is the annual price the only one shown clearly, with monthly buried or requiring a toggle? That's a small manipulation, but it's a real one, and it tells you the company is optimising for commitment over trust.
If you're comparing several tools in the same category, it's worth reading something like this rundown of AI marketing tools first, because someone else has already done the tedious side-by-side pricing comparison and you don't need to repeat that work from scratch.
Find three real reviews, not the ones on the tool's own site
Testimonials on a company's own website are marketing copy, full stop. They chose those quotes for a reason. Instead, go to G2, Capterra, or Trustpilot and do three specific things:
- Sort by "most recent" rather than "most helpful," because a tool can have brilliant older reviews and a terrible last six months of updates or support changes.
- Read the one-star and two-star reviews first. Ignore the ranting ones about unrelated issues, but look for repeated complaints. If five different people in the last three months mention the same billing problem or the same missing feature, believe them over the marketing.
- Search "[tool name] reddit" in Google. Reddit threads are where people are honest about tools because there's no incentive to be nice. I found out a CRM I was considering had been quietly increasing per-seat pricing every renewal through a Reddit thread, not through anything on their site.
Ask what problem this solves, in one sentence
Here's the uncomfortable bit that most guides skip over: a huge number of software purchases happen because the tool is exciting, not because there's a clear problem it solves. I've bought tools because a webinar was persuasive, because a peer mentioned it, because the demo was slick. None of that is the same as having a defined problem.
Before you look at a single feature, write down the actual problem in one sentence. Not "we need better marketing," but "we're spending six hours a week manually repurposing long videos into short clips for social." If you can't state the problem that specifically, you're not ready to buy a tool yet, you're browsing. And browsing while holding a company credit card is how most subscription bloat happens. If that particular problem sounds familiar, by the way, this list of content repurposing tools is worth a look before you go shopping blind.
Book the demo, but ask these questions in it
Demos are performances. Sales reps are trained to show you the best-case workflow, on their test data, with their internet connection. To get past the performance, ask:
- "Can I see this using my own data, or a scenario close to it?" A good rep will do this live or offer a proper trial. A rep who dodges it is protecting a weak spot.
- "What's the average time to see results, based on your last twenty customers, not your best case study?" Case studies are cherry-picked. Averages are harder to fake convincingly.
- "What does support look like, chat, email, or a person?" I've paid for tools with "24/7 support" that turned out to be a chatbot that couldn't answer anything beyond password resets.
Write the answers down. Not because you'll forget them, but because seeing them on a page next to the price makes the decision feel less like a hunch and more like a comparison.
Check who owns your data and how hard it is to leave
This is the part everyone skips because it feels paranoid, and it's the part that bites hardest. Search the terms of service, or just Ctrl+F the word "export" if the document is long, and check:
- Can you export your data in a usable format, or only as a PDF that's useless for reimporting elsewhere?
- Is there a minimum contract length hidden in the terms, even if the pricing page only mentions "monthly"?
- What's the actual cancellation process? Some tools let you cancel with two clicks. Others require a phone call during specific office hours in a specific time zone, which is a tactic, not an accident.
The Wikipedia page on dark patterns is a useful primer here if you want to recognise these tricks in the wild, because once you've seen them named you spot them everywhere, from gyms to software.
Work out the real cost, including your time
The subscription price is never the full cost. Add up:
- Setup time, honestly estimated. If a rep says "ten minutes to get started," assume ninety, because setup always includes something unexpected, an integration that doesn't quite connect, a permission you need from IT.
- Training time for anyone else who'll use it. A tool that saves you personally two hours a week but costs your team four hours learning it in month one isn't a win yet.
- The cost of running it alongside whatever it's meant to replace, during the overlap period, because almost nobody switches cleanly on day one.
Once it's running, don't just assume it's working, measure it. I've written a full walkthrough on how to measure ROI on AI tools that goes through exactly what numbers to track from week one, and it's saved me from keeping tools out of politeness or sunk cost more than once.
Set a 90-day review date before you even sign up
This is the step almost nobody does, and it's the single most useful habit I've built. Put a date in your calendar, ninety days from the sign-up date, with one question: "Am I still using this, and would I sign up again knowing what I know now?" Not "is it fine," but "would I choose it again." If the honest answer is no, cancel before the next renewal, not after you've grumbled about it for another quarter.
Want AI doing the heavy lifting in your marketing?
I build the systems that handle the boring 80 percent, so you get your week back. Done properly, with the human kept in.
That scheduling tool I mentioned earlier didn't get a 90-day review, because I hadn't built the habit yet. It got a 340-day realisation, right before the annual renewal charged again. Now every tool gets the date in the calendar the same day it gets the card details.
Where this matters most: sales and lead gen tools
I'd apply all of this doubly hard to anything in the prospecting or lead generation space, because these tools often sell on a promise of volume, more leads, more outreach, more contacts, when the actual bottleneck in most small businesses is quality and follow-up, not volume. Before buying anything in this category, it's worth reading a proper comparison like this breakdown of sales prospecting tools so you're choosing based on fit, not on whichever one had the best cold email.
When it's worth getting help before you buy
If you're choosing software for a whole team, or the tool touches something core like your CRM or your entire content workflow, doing this research alone gets harder, because you're weighing integrations and staff time you can't fully see from outside. That's the point where a short conversation with someone who vets these tools for a living, rather than another hour of your own Googling, pays for itself. If you want a second pair of eyes before you commit budget to something significant, this is exactly the sort of thing an AI consultant for small business gets asked to weigh in on regularly, and it's usually a much shorter, cheaper conversation than the mistake it prevents.
And if budget is the whole question, I've listed out exactly what I pay for in my own toolkit, real numbers, not list prices, which is a useful sanity check against whatever a sales rep quotes you.
Frequently asked questions
How long should researching a new software tool take?
Give it 30 to 40 minutes for a small, low-cost tool, and half a day for anything over roughly £100 a month or anything that touches your core systems like your CRM or website. Rushed research costs more later than a slower afternoon costs now.
What's the biggest red flag when researching software before buying?
A cancellation process that's harder than the sign-up process. If a company makes it effortless to give them your card and difficult to leave, that mismatch tells you far more about their priorities than any feature list will.
Should I trust case studies on a software company's own website?
Treat them as marketing, not evidence, because they're selected specifically to show the best outcome. Ask the sales rep for an average result across their last twenty customers instead, and see how they respond to that question.
Is it worth paying for a tool's annual plan to save money?
Only after you've used it for at least a full month on the monthly plan and confirmed you'd renew. The discount on annual pricing is designed to lock in a decision before you've had time to test it, and that's precisely the point.
Related reading: How Do I Spot a Rs 200 Per Page Typing Job Scam? and How to Become a Virtual Assistant With No Experience (A Real Starting Point, Not a Course Sales Pitch).
If you want the full breakdown, here is everything I know about productivity.
