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4 Ways to Reduce Your CPL on Facebook by 50%

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Meaning Facebook’s native advertising match rates are horrible, and targeting with career data is usually way off, leading to tons of wasted spend and bad leads. One of the primary audience types we used with Metadata was G2 Buyer Intent Data. Using intent data allowed our ad spend to drive a much higher likelihood of conversion.

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Is paid social advertising still worth it in 2023?

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After a few months, my cost per lead (CPL) was $3k, and I was in a frenzy. While our average account value (ACV) was much higher than that, I knew this level of spending wasn’t sustainable. But Abdallah, paid social is sooo expensive I want to remind you of my CPL at Armorblox: $3k. technographic (tech stack), and intent data.

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How Metadata Fundamentally Changed My Approach to B2B Marketing

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Unfortunately, I didn’t get much of a return on that spend. For context, our cost per lead (CPL) was around $1,000 before we started using Metadata. With Metadata, our CPL dropped to about $50. My goal was now all about getting high-intent leads in front of our Sales team and helping them turn those leads into customers.

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How To Make Big Demand Gen Bets That Beat the House (and Deliver ROI)

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But despite the intentional kink in the hose, most leadership teams are shouting the same marching orders: Do what you did last year, but with less money and a smaller team. Ad spending on podcasts is booming as B2B marketers find new ways to connect with audiences and build their brand. That’s a big problem that you must address ASAP.

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Using Data to Build a Demand Generation Engine

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Google PPC ads still drive a solid cost per lead (CPL)? Throwing spaghetti at the wall can be fun, but doing so simply because something’s working for everyone else is a recipe for disaster (and wasted spend). Identify the baseline (for cost per lead) What’s your acceptable cost-per-lead (CPL) ? Sign me up. Keep it up.

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Metadata.io Closes Record Year As Market for Autonomous Demand Generation Surges

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Metadata drove these outcomes for their customers in 2020, executing nearly $15M of ad spend across Facebook and LinkedIn with 30,990 experiments run. return on ad spend. “We firmographic, technographic, demographic, buyer intent) using their proprietary targeting graph of over 1.4 billion business prospects.

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Hey Marketers, It Might Be Time to Slow Down. Here’s Why (and How)

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After a quarter, a few learnings come to light, namely, that despite spending thousands on conversion ads, they’re only generating 25% of your pipeline. Clearly, your intentions (to get more demo requests with conversion-based ads) don’t match the outcomes of your campaign (demo requests are coming from brand awareness ads).