How to Add Social Media Icons to an Email Signature
Enhance your email signature by adding social media icons. Discover step-by-step instructions to turn every email into a powerful marketing tool.

Running LinkedIn ads without testing them is like driving with your eyes closed - you might eventually get somewhere, but you’ll waste a lot of fuel and probably cause some damage along the way. Systematically testing your ads is the single best way to lower your costs, increase your conversions, and consistently hit your campaign goals. This guide will walk you through exactly how to set up, run, and analyze LinkedIn ad tests to get better results from your budget.
You can have the most precise audience targeting in the world, but if your ad creative or copy doesn't resonate, your campaign will fall flat. Testing isn't just about finding one "winning" ad, it's a continuous process of learning what your audience truly cares about. The insights you gain from a simple A/B test can inform your entire marketing strategy, from your organic content to your website copy.
Here’s what a consistent testing process gives you:
A successful test starts long before you click "launch." A haphazard approach gives you confusing data, but a structured setup provides clear, actionable insights.
Every test should start with a hypothesis - an educated guess about what you think will happen and why. This frames your test and helps you understand the results later. A good hypothesis looks something like this:
“I believe an ad creative featuring a real photo of our team will achieve a higher CTR than our standard branded graphic because authenticity builds trust with senior marketing leaders.”
Or…
“We predict that an ad headline focused on a specific pain point (‘Struggling with low pipeline?’) will generate more qualified leads than a benefit-focused headline (‘Build a bigger pipeline’) because it directly acknowledges the immediate problem our audience is facing.”
Without a hypothesis, you’re just throwing things at the wall to see what sticks. With one, you’re running a scientific experiment to improve your marketing.
This is the golden rule of A/B testing: only change one thing at a time.
If you test a new image, new headline, and new intro text all in the same ad, you'll have no idea which element was responsible for the change in performance. Did the new image boost clicks, or was it the headline? Was the text the problem? You won't know.
To get clean data, isolate one variable. For example:
Once you’ve found a winning image, you can then make that the new "control ad" and test a new headline against it. This deliberate, step-by-step process builds on your learnings over time.
Your test needs enough data to be statistically significant. Running a test for only one day with a $10 budget won't give you reliable results. As a general guideline, aim for a test that runs for at least 7-14 days and generates at least 1,000 impressions per ad variation.
More importantly, you should run the test until you have enough of your key conversion action. If your goal is website clicks, you might need a few hundred clicks per ad creative to feel confident. If it's lead form completions, you’ll want at least 15-20 conversions per ad variation to make an informed decision.
When running a new test, set a daily budget for the campaign and let it run until it's had a decent chance to collect data across different days of the week. Don't call a winner after just 48 hours.
Now for the fun part. You can test just about every component of your LinkedIn ad. Here’s a breakdown of the highest-impact elements to start with, moving from visual to copy.
On a busy social feed, your image or video is the first thing that has to earn your audience's attention. It does the heavy lifting to stop the scroll.
Once your creative has stopped the scroll, your copy has to do the work of convincing your audience to take action.
This is the bold text directly below your creative. It’s arguably the most important piece of copy in your ad.
This is the copy that appears above your creative. You have more room to work with here.
The words on this button have a direct impact on conversion rates. LinkedIn offers several options.
Testing your targeting is a more advanced strategy but can yield massive improvements. Instead of changing the ad creative, you duplicate the ad campaign and change only who sees it.
After your test has run its course, you need to analyze the data to determine a winner and apply what you’ve learned. Focus on the metrics that align with your campaign objective.
In LinkedIn Campaign Manager, go to your campaign and use the "Columns" dropdown to customize your view to include these specific metrics. When a variation is clearly outperforming the other on your primary metric (e.g., an ad with a 1.2% CTR and a $5 CPL vs. one with a 0.5% CTR and a $12 CPL), you have found your winner. Turn off the losing ad and use the winning variation as your new control for the next test.
Testing your LinkedIn ads isn't a one-and-done task, it’s an ongoing process of refinement that transforms your paid social from a gamble into a predictable growth engine. By forming hypotheses, isolating variables, and carefully analyzing the results, you gain invaluable insight into what moves your audience to action, enabling you to build more effective campaigns over time.
Insights from your paid ads can also supercharge your organic strategy. When you discover a headline or visual that resonates with your target audience, that’s great fuel for your organic posts. At Postbase, we help you plan all this content with a simple, visual calendar so your entire brand presence feels connected. Having a tool to schedule the organic content that supports your ad campaigns helps create a stronger, more consistent brand experience across everything you do on social.
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