Interactive Ads A/B Testing Strategies

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!

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?

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.

My creative testing structure that finds winners 3x faster. Most brands test randomly. I test systematically. The 4-Layer Testing Pyramid Layer 1: Concept Validation (Statics) • 12 angles → 24 static ads (2 headlines each) • $50/day per ad set for 3 days • Kill below 1.5% CTR, or $25 spent with 0 ATC... Layer 2: Format Optimization (UGC) • Top 3 concepts → UGC variations • Test: Talking head vs. B-roll heavy vs. text overlay • Optimize for thumb-stop rate + hold rate Layer 3: Hook Refinement • Winning format → 5 different first 3-seconds • A/B test: Question vs. Statement vs. Shock vs. Story • Winner gets scaled budget Layer 4: Proof Iteration • Same hook/format → rotate proof elements • Week 1: Customer testimonials • Week 2: Expert endorsements • Week 3: Before/after visuals • Week 4: Mechanism demos Testing Campaign ├── Concept A (Static validation) ├── Concept B (Static validation) ├── Concept C (Static validation) └── Winners → UGC Campaign ├── Format Test A ├── Format Test B └── Format Test C → Hook Campaign ├── Hook Variation 1 ├── Hook Variation 2 └── Hook Variation 3 → Scale Weekly Rhythm • Monday: New concept statics launch • Wednesday: Kill underperformers • Friday: Graduate winners to next layer • Sunday: Plan next week's concepts PS: This structure helped us find 12 scalable winners last quarter. If you found this helpful, follow me for more.

A/B Testing in Google Ads: Best Practices for Better Performance Introduction to A/B Testing A/B testing in Google Ads is a crucial strategy for optimizing ad performance through data-driven insights. It involves comparing two versions of an ad to determine which one delivers better results.  Set Clear Goals Before conducting A/B tests, define clear objectives such as increasing click-through rates or conversions. Having specific goals will guide your testing process and help you measure success accurately.  Test Variables To effectively A/B test ads, focus on testing one variable at a time, such as the ad copy, images, or call-to-action. This approach will provide clear insights into what elements are driving performance. Create Variations Develop distinct ad variations with subtle differences to compare their impact. Ensure that each version is unique enough to produce measurable results but relevant to your target audience.  Implement Proper Tracking Set up conversion tracking and monitor key metrics closely to evaluate the performance of each ad variation accurately. Use tools like Google Analytics to gather meaningful data. Monitor Performance Metrics Regularly review performance metrics like click-through rates, conversion rates, and cost per acquisition to identify trends and patterns. Analyzing these metrics will help you make informed decisions. Scale Successful Tests Once you identify a winning ad variation, scale it by allocating more budget and resources to drive maximum results. Replicate successful strategies in future campaigns. Continuous Optimization Optimization is an ongoing process, so continue to test, refine, and adapt ad elements to enhance performance continuously. Stay updated with industry trends and consumer preferences. Analyze Results After conducting A/B tests, analyze the results comprehensively to understand the impact of your optimizations. Use the insights gained to inform future ad strategies. Summary  Following best practices for A/B testing in Google Ads can significantly improve the performance of your campaigns. By testing, analyzing, and optimizing ad variations, you can enhance engagement, conversions, and overall ROI. #MetaAds, #VideoMarketing, #DigitalAdvertising, #SocialMediaStrategy, #ContentCreation, #BrandAwareness, #VideoBestPractices, #MarketingTips, #MobileOptimization, #AdPerformance

We did this internal video overview a month ago on LInkedin Thought Leader Ads - you might enjoy : ) 🎯 Wondering how to maximize ROI by leveraging different content types and A/B testing? In today's video, we'll explore: 🔑 Key Points: Types of content that work best for Thought Leader Ads: from text and single images to GIFs. The pros and cons of using different objectives: brand awareness vs. engagement. A deep dive into A/B testing Thought Leader Ads to compare their performance with traditional LinkedIn campaigns. What We Cover: 1️⃣ Content Types: Learn why you can't sponsor personal posts that have videos, carousels, or multiple images. Discover a hack: using GIFs as a dynamic way to capture attention. 2️⃣ Campaign Objectives: Discussing the effectiveness of using Thought Leader Ads for brand awareness and engagement objectives. Exploring how sponsored posts can naturally bring people into your retargeting funnel. 3️⃣ A/B Testing: How to set up an A/B test between a Thought Leader Ad and a traditional LinkedIn campaign. Insights on what metrics you should be looking at to determine the success of your ads. Don't miss this deep-dive into advanced strategies for making the most of LinkedIn Thought Leader Ads. We'll share our hands-on experience and insights to help you level up your LinkedIn advertising game. 🚀 Stay tuned!

Curious about why your new ads aren’t performing as well as your top performers? I’ve been there, and here’s what I’ve learned. My Proven Testing Strategy 👇 📌 Separate Testing: I always test new ads apart from my top performers. This prevents Meta from focusing solely on the ads with social proof and ensures new concepts get their fair shot. 📌 Concept Focus: I test one concept per ad set to keep results clear and actionable. 📌 Variations: Running 4-5 variations per concept has been crucial for finding what truly works. 📌 Duration: I run these tests for 5-7 days to gather enough data for informed decisions. 📌 Optimisation: I cut the under-performers and scale the winners. This approach has significantly boosted my ROI. Your ad testing process should be streamlined and strategic. With the right approach, you can uncover valuable insights and drive impressive results.

Stop wasting budget on random creative tests. Most advertisers throw up new ads and hope they work. But hope isn’t a strategy. Test creatives like a pro, not a gambler. Testing creatives is about smart strategy. Want to stop wasting budget on underperforming ads? Here’s the 8-step creative testing process I use to scale Meta ads profitably: - A/B test one variable at a time
 - Let Meta’s DCO optimize variations
 - Watch for creative fatigue (pause zombie ads)
 - Scale winners, kill losers fast
 - Match creatives to audience temperature
 - Test video vs. static—results may surprise you
 - Refresh creatives every 30 days
 - UGC > Polished ads (trust wins) Save this post for later! PS: What’s your biggest challenge with creative testing? Follow me for more content!