Using a “Test” campaign on LinkedIn Want to try different tactics without interrupting your funnel? Create a campaign to experiment with! Many companies know their ICP, but the current needs market doesn’t always align with your targeting. Ever wonder if targeting end users might be an effective tactic instead of just Decision Makers? Have a high-performing ad that you want to A/B test but know it wouldn’t be a clean test to add a new variation and run it against the ad that’s already been running for a while? Want to try getting creative with Skills & Interests but keep your main campaigns focused on your ICP build? That’s where a test campaign comes in. I set up this campaign initially to try different audiences and gauge their interest outside of my normal structure. Initially, I had asked ChatGPT what the ideal target audience was for one of my client’s offer. It deviated from their stated ICP, so I asked if I could test it, and they gave me the thumbs up. I ran it for a month, started honing in on the top-performing demographics of the test group, and saw an increase in results! We would also swap out ABM lists in the main campaigns, but instead of just dropping the older lists, I threw them in the test campaign to see if I could milk some additional results... And it did!! Conversions increased, and I even got one in Cold. One of our team members also suggested running A/B tests in a separate campaign. You have a high-performing ad, but if you just create a variation and run it, it’s starting at a different point and doesn’t have the same social engagement, so it’s not an apples-to-apples comparison. If you instead try different variations of that ad from scratch in your ‘Test’ campaign, you can get a cleaner comparison of how they perform, and based on the results, replace your previous ad with the top performer (that way, it keeps the social engagement and trust it’s built). It’s difficult to run these tests in your main campaigns because building a funnel and establishing trust takes time (and you don't want to disrupt that to test something). So, using a ‘Test’ campaign (even with a minimal budget) can help you gather data to improve your overall performance! Have any other methods of testing that you’ve found successful? Let me know in the comments!
Interactive Ads A/B Testing Strategies
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Summary
Interactive ads A/B testing strategies involve experimenting with different versions of interactive advertisements to see which one performs best, helping marketers make data-driven decisions instead of relying on opinions. This process gives you a clearer understanding of what captures your audience's attention and drives conversions.
- Create test campaigns: Set up separate campaigns to try out various ad variations without disrupting your main advertising funnel.
- Monitor key metrics: Track engagement rates, completion rates, and conversion rates to measure how users interact with different ad versions.
- Update based on results: Once you identify a top-performing variation, route traffic to the winner and refresh all links across your channels.
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most b2b marketers are A/B testing button colours and CTA copy... meanwhile, only 5% are testing the one thing that could increase their conversion rates: interactive demos as CTAs. for the companies that use interactive demos as CTAs, they're seeing increased average conversion rates, such as Flagsmith, who saw signups increase by 1.7x with HowdyGo’s interactive demo platform as a CTA. but how do you do it? 3 ways you can do it this quarter: 𝟭/ 𝘀𝘁𝗮𝗿𝘁 𝘄𝗶𝘁𝗵 𝗮𝗻 𝗔𝗕 𝘁𝗲𝘀𝘁 𝗼𝗻 𝘆𝗼𝘂𝗿 𝗵𝗼𝗺𝗲𝗽𝗮𝗴𝗲 add a secondary CTA that says "try interactive demo" next to your main CTA. run it for 2-4 weeks and measure engagement vs your primary CTA. Flagsmith did exactly this with HowdyGo and saw signups increase by 1.7x. low(er) risk, immediate data. 𝟮/ 𝘁𝗿𝗮𝗰𝗸 𝘁𝘄𝗼 𝗺𝗲𝘁𝗿𝗶𝗰𝘀 as good marketers do, set that success metrics early. my rec: engagement rate (who's clicking through the demo) and conversion rate (who's booking demos or signing up after). with HowdyGo, you can achieved this through Google Analytics by configuring an audience for people who have either (1) visited the /demo page or (2) linked to a howdygo_demo_engagement event (which is available on all tiers). 𝟯/ 𝗲𝘅𝗽𝗮𝗻𝗱 𝘁𝗼 𝗽𝗿𝗼𝗱𝘂𝗰𝘁 𝗽𝗮𝗴𝗲𝘀 once you've validated it on your homepage, your product pages are next. show prospects exactly how your product solves the problem they're reading about. tools like HowdyGo make this stupidly easy - no dev resources, no waiting on engineering. the psychology here is simple: prospects want hands-on experience before committing to a sales call or configuring everything. give them that and watch your qualified pipeline increase (and depending on your sales motion, you could be sending more leads to sales) which page are you A/B testing this on first?
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I’m done having opinion-based arguments about our Storylane demos. “This flow converts better.” “No, move the CTA earlier.” Starting today, you don’t need debates. You can run A/B tests on Storylane demos. Best demos practices and trends are useful, but every team has a different funnel, audience, industry, and goal. What works for someone else might not work for you. Now you can test Storylane demos the same way you’d test landing pages. Here’s how: 1/ Pick your baseline demo and duplicate it to create variant B 2/ Test one variable at a time so you know what actually worked. Some ideas to test right now: - lead form vs no lead form - gated vs ungated demo - short vs long (fewer or more steps) - CTA at the start vs near the end - use-case intro vs feature-first intro - tutorial style demo vs storytelling style demo - voiceover + video vs silent - strong CTA vs softer CTA - one CTA visible vs two CTAs 3/ Set the traffic split Default is 50/50. Shift to 80/20 if you want to protect a proven version (80% to proven demo, 20% to variant B). 4/ Send real traffic and Storylane tracks completion rate, CTA clicks, signups, time spent, intent signals, and lead quality. 5/ Read the results A winner will emerge. If there isn’t one, it means the change didn’t move the needle. You either win or you learn. 6/ Route traffic to the winner When the test ends, Storylane automatically sends new visitors to the winning demo. If variant B wins, update demo links across pages and campaigns. Why this matters: interactive demo optimization stops being a debate and becomes a system. Every new idea, conversation, or hypothesis becomes an experiment. Walkthrough video below. Interactive demo link in the comments.
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