h street digital

Last year was a big year for H Street! 🚀 📈 567% revenue growth YoY 🤝 200% client partnerships growth YoY 🙌 500% increase in team size YoY Direct-response advertising success goes beyond campaign tactics. It's about understanding product-market fit, solid business economics, and readiness for scaling. 💡 Here are the three key questions we ask before teaming up with a brand: 1️⃣ Is there product market fit? 2️⃣ Are the business economics ready for direct-response ads? 3️⃣ Is the business prepared to scale advertising spend? Learn more about each key question in our blog here: https://lnkd.in/esm6Ckh2

 🌟 Join Us at the Austin Ecomm x Commerce Party! 🌟 Catch Hal Smith on July 25th at the Austin Ecomm x Commerce Party event! He’ll dive into “The Ad Optimized Website: Turn Your E-commerce Site into a Sales Machine,” sharing actionable insights to boost your online sales. 📍 Where: Capital Factory -- Devvie Room 🕒 When: 6:30 PM Register now and see you there! https://lnkd.in/gqwZvpy5

What are naming conventions❓ Naming conventions help you organize campaign variables. 🗂️ A typical naming convention looks like: Channel_Objective_CampaignTheme_AdSetTheme_CreativeTheme_CreativeType For example: Meta_Purchase_BlackFriday_DynamicAds_UserGeneratedContent_Videos Good naming conventions allow you to quickly filter through different variables to make better decisions about what is driving performance. They also allow you to organize and structure historical data for faster analysis.

Today's machine-learning AI relies heavily on data to learn faster. Along these advancements raises a question of data privacy. More about it here: https://lnkd.in/g4Q5waJE

It's simple - find problems, solve the problems. If something isn’t working, Figure out why And fix it. If something is working, Scale into it And take in the profit. Of course, this isn’t everything, But it sums up a lot: 1️⃣ Identify Problems 2️⃣ Find Solutions 3️⃣ Repeat Check out my video for more ** P.S. I’m a 24-year-old entrepreneur who started from scratch. I've built a 6-figure dropshipping business and spent over $25M on ads. Join me on Linkedin, where I’ll be sharing my journey and insights every week. #SocialMediaBuyer #AdStrategy #DataAnalytics

Today's machine-learning AI relies heavily on data to learn faster. Along these advancements raises a question of data privacy. More about it here: https://lnkd.in/g4Q5waJE

True growth doesn’t come from the newest tactic. Instead, it comes from identifying what’s causing friction and removing it. It's that simple. Our approach is now rooted in eliminating these friction points. And this means continually testing and iterating on our strategies to remove any remaining barriers. When you prioritize removing friction, you pave the way for sustainable growth. Identify those pain points and work tirelessly to eliminate them. The results will speak for themselves. 🚀🚀🚀

We Love Broad Targeting (And You Should Too) Facebook’s algorithm is a beast. When you give it a broad audience, it uses its powerful machine learning to find your perfect customers. Instead of restricting your ads, simply let Facebook do the heavy lifting. Seriously, it’s all about your creatives. We call it “creative-based targeting.” Craft compelling, relevant ads that speak directly to your audience, and let the algorithm work its magic. Think of your creatives being the tool for your targeting. Don’t waste time segmenting audiences. Focus on the creatives and trust Facebook’s algorithm to find your audience.

Congratulations to Hal Smith and Ben Billups for being named among the top 32 advertising professionals under 32 in Austin by Ad 2 Austin! Similar to the Forbes 30 Under 30, this prestigious list highlights the brightest young talents in the Austin advertising and marketing industry. Well deserved recognition for your exceptional work and dedication! 🎉👏 https://lnkd.in/eadtk2x

How can you hit CAC/ROAS targets yet still not be profitable? 🤔 This week, Hal Smith had the chance to chat with our Paid Social Media Buyer, Raymond Stercl, about some of the drawbacks when using generalized CAC and ROAS targets and how we can avoid these pitfalls.