Never Settle for Your First Idea

Your first version of anything is almost never the best version.

It’s the version you thought of first, which means it’s the most obvious version. The most obvious headline. The most intuitive structure.

The most predictable approach. There’s nothing wrong with obvious, obvious often works fine. But “fine” leaves performance on the table. The headline that outperforms your first choice by 40% is sitting out there somewhere.

The email approach that doubles your click-through rate exists. You just haven’t found it because you never generated and tested the alternatives. Testing alternatives isn’t about lacking confidence in your work.

You just haven’t found it because you never generated and tested the alternatives.

It’s about acknowledging that marketing is a field where small differences in execution produce large differences in results, and you can’t predict which differences will matter until you test them.

The subject line you were most proud of might underperform the one you almost deleted. The sales page structure you’d never have tried might convert at twice the rate of your default approach. Testing reveals the surprises that gut instinct misses.

These prompts will help you generate meaningful alternatives for every key element of your marketing, structure tests that produce reliable results, and build a practice of systematic exploration that consistently improves your outcomes.

The most common testing mistake is generating alternatives that are too similar.

Testing “Get Your Free Guide” against “Download Your Free Guide” isn’t a meaningful test because both versions use the same approach with a minor word swap.

Meaningful alternatives use fundamentally different approaches, angles, or structures so that the test reveals not just which words perform better but which strategy performs better.

Generate genuinely different alternatives for the following marketing element. My current version: [paste the element you want to test,  headline, email, CTA, ad, etc.]. My audience: [describe]. My goal: [what this element should accomplish]. Generate 5 alternatives, each using a fundamentally different strategy: Alternative 1,  opposite approach: if the current version leads with the benefit, lead with the problem. If it’s long, make it short. If it’s emotional, make it logical. Alternative 2,  different audience angle: target a different pain point, motivation, or identity within the same audience. Alternative 3,  different format: if the current version is a statement, make it a question. If it’s a list, make it a narrative. If it’s detailed, make it minimal. Alternative 4,  different emotional trigger: if the current version uses aspiration, try urgency. If it uses fear, try curiosity. Alternative 5,  unexpected: an approach that breaks convention for this type of content in a way that might either dramatically succeed or dramatically fail. For each alternative: explain the strategic thinking behind it, describe the audience segment most likely to respond to this version, and rate the risk level (conservative, moderate, bold).

Including a bold, unconventional alternative is where breakthrough discoveries happen. Conservative alternatives produce incremental improvement. Bold alternatives occasionally produce dramatic improvement, the headline nobody expected to win that crushes everything else.

Yes, bold alternatives sometimes fail spectacularly. But the cost of a failed test is nearly zero, while the value of discovering a dramatically better approach is enormous. Include at least one bold test in every round.

You don’t need a hundred thousand subscribers to run meaningful tests.

Even small audiences can provide useful data if you structure your tests correctly and set appropriate expectations for what the data can tell you. The key is matching your testing methodology to your audience size and accepting that smaller audiences require longer testing periods to produce reliable results.

Design a testing methodology that works for my audience size. My audience size: [list sizes by channel,  email subscribers, website visitors, social followers]. My content frequency: [how often you publish on each channel]. For my specific audience size: what’s the minimum test duration to get meaningful results on each channel? What types of tests can I run reliably (A/B, sequential, qualitative)? What confidence level should I expect from my results (are these definitive winners or directional indicators)? Design testing approaches for each channel: email,  how to A/B test with my subscriber count, what metrics to track, how to handle small sample sizes. Website,  how to test with my traffic level, tools to use, minimum test duration. Social media,  how to test organically without paid spend, sequential testing approach, engagement-based comparison methods. For each channel: provide a step-by-step testing procedure I can follow, explain how to interpret results at my sample size, and define when to declare a result meaningful versus inconclusive.

Sequential testing, publishing version A for a period, then version B for the same period, and comparing results, is the realistic approach for small audiences that can’t split traffic simultaneously.

It’s less scientifically rigorous than a true A/B test because external factors change between periods, but it still produces useful directional data. The key is keeping the periods consistent (same days of the week, same time of day) and acknowledging that the results are directional rather than definitive.

The value of testing isn’t just finding the winner.

It’s understanding why the winner won. When you know that your audience responds 35% better to question-based subject lines than statement-based ones, that insight applies to every future subject line you write. Every test teaches you something about your audience that makes all your future marketing smarter, even beyond the specific element you tested.

Help me extract maximum learning from these test results. My test: [describe what you tested,  the variations, the channel, and the duration]. Results: [share the performance data for each variation]. Analyse: which variation won and by how much? Is the margin large enough to be meaningful given my sample size? Why do I think the winner outperformed? What does this result tell me about my audience’s preferences? What specific element of the winning version drove the performance difference? How can I apply this insight to other marketing elements beyond the one I tested? Based on the results: what should I test next to build on this learning? Create an insight card I can save and reference, formatted as: what I tested, what won, why it won (hypothesis), and how this applies more broadly.

The insight card system creates a cumulative knowledge base that gets more valuable with every test. After twenty tests, you have twenty insight cards that together paint a detailed picture of what your audience responds to.

Those cards become the foundation for a marketing style guide that’s based on real data rather than assumptions. Instead of guessing whether your audience prefers casual or professional language, you have a card that says “casual outperformed professional by 28% in email subject lines” and you write accordingly.

Testing shouldn’t be a special project you do occasionally.

It should be a background process that runs continuously alongside your regular marketing. Every email is an opportunity to test a subject line.

Every blog post is an opportunity to test a headline. Every social post is an opportunity to test a message angle. Building testing into your routine means you’re always learning and always improving.

Design a continuous testing pipeline that integrates into my regular marketing workflow. My weekly marketing activities: [describe what you create and publish each week]. My channels: [list them]. Create: a weekly testing schedule that identifies which elements of my regular marketing get tested this week (rotating through headlines, subject lines, CTAs, content angles, formats, etc.), a quick-generation protocol for creating test alternatives in under 10 minutes per test, a results tracking system that takes under 5 minutes per week to maintain, a monthly review process for synthesising recent test results into updated marketing guidelines, and a quarterly “bold test” where I try something dramatically different from my normal approach. The pipeline should add no more than 30 minutes per week to my current workflow. Provide the specific schedule for my first month of continuous testing.

The thirty-minute weekly cap makes continuous testing sustainable. If testing requires hours of extra work, it won’t survive the first busy week. But thirty minutes, ten to generate alternatives, ten to set up the test, ten to log and review results, is small enough to maintain indefinitely.

Small, consistent testing beats occasional ambitious testing because the learning compounds week after week. Your first idea is your starting point, not your destination. Every element of your marketing can be better, and testing is how you find better.

If testing requires hours of extra work, it won’t survive the first busy week.

These prompts help you generate alternatives worth testing, run tests that fit your audience size, extract insights that improve all your future marketing, and build a continuous practice that makes your business smarter every week. Never settle for the first version. There’s always a better one waiting to be discovered.