The Thrive Performance Marketing Blog
Learn about all things performance marketing and paid digital with the Thrive blog.The brand and performance divide is costing you more than you think
TL;DR Performance marketing captures demand. Brand marketing creates it. Most organizations treat them as separate functions with separate budgets, separate teams, and separate goals. That's a mistake. When they don't work together, you get a gap in the middle of the funnel, inconsistent consumer experiences, and budget politics that hurt the business. The fix is simpler than an org overhaul: share media plans early, connect your measurement, and be clear on what each channel is actually supposed to do.
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The best 2026 e-commerce marketing tech stack
TL;DR Stop collecting tools and start solving problems. Your e-commerce tech stack should answer specific questions: What's driving incremental revenue? Where should the next dollar go? What creative actually works? The essentials: market intelligence tools for directional trends (not vanity metrics), incrementality measurement to understand true channel impact, creative analysis platforms that work in minutes not hours, unified analytics beyond GA4, and the platforms you already use daily (Instagram, TikTok) as intelligence sources. Build for purpose, not popularity.
6 minute readHow to plan your media budget for international expansion
TL;DR International expansion isn't just a marketing problem. It's an ops problem, a finance problem, and a logistics problem. Before you touch your media budget, validate the market opportunity, ensure you have the operational foundation (localized site, payment processing, customer service), and understand local channel costs. Limit your initial market selection to ensure quality over quantity, focus on proven channels first, and analyse category and brand demand within the market, identify where and how your budget will actually move the needle. Budget planning works backward from realistic targets, not forward from wishful thinking.
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Can AI create a (trustworthy) full marketing strategy?
TL;DR AI isn't ready to independently create full marketing strategies yet. While generative AI excels at facilitation (summarization, brainstorming, content polishing, and visualization), it falls short on the nuanced, expertise-driven work that defines strategic planning. The tools lack access to crucial first-party data, can't replicate human taste and judgment, and often produce generic outputs when asked to do too much. Right now, AI works best as a collaborative thought partner, accelerating existing processes rather than replacing human expertise. The key? Use AI for tactical support while keeping humans firmly in the decision-making seat.
5 minute readHow should you use AI for ad design?
TL;DR AI excels at production efficiency, not creative strategy. Use it to accelerate workflows and generate custom assets, but keep humans in charge of brand strategy and emotional connection. You need the perfect background image for your campaign. A modern kitchen with specific lighting and brand colors. Hours of stock photo hunting later, you've found nothing. This is exactly where AI shines: not replacing creativity, but eliminating production bottlenecks.
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Most lead scoring sucks (here's how we fixed it)
TL;DR Most B2B companies are doing lead scoring wrong, relying on arbitrary point systems and outdated models that don't reflect actual buyer behavior. Real lead scoring requires clean data infrastructure, empirical validation, and regular updates. More importantly, it should never be prioritized over fundamentals like product-market fit, messaging, and creative. Lead scoring is an optimization layer, not a solution to broken marketing.
4 minute readYour ad data can't tell you everything about your audience
TL;DR Ad platform data gives you demographic snapshots and performance metrics, but it can't tell you the whole story about your audience. Marketing personas with overly specific details aren't practical for media buying, even if they help creative teams remember they're marketing to real humans. The real insight? Stop over-segmenting based on small data samples. Creative does the heavy lifting in audience targeting now, and your best-performing segments might actually be the least incremental. Focus on broader reach, use your first-party data wisely, and break down those silos between departments. Everyone needs to share what they know about your audience.
6 minute readAre marketing best practices helpful or lazy?
TL;DR Best practices in digital marketing aren't one-size-fits-all solutions. While foundational principles like testing and brand consistency matter, blindly following "best practices" can trap you in formulaic thinking. The key is understanding when to apply them, when to break them, and recognizing when someone's just trying to sell you something disguised as a best practice.
3 minute readHow to spot bad marketing reports
TL;DR Many marketing reports are fluff disguised as research. The biggest red flag? Headline numbers showing spectacular results without providing methodology, data sources, or context. This is especially true when basic averages are used without indicators of the spread of the data. Averages don't mean typical, especially in marketing where data is rarely normally distributed, or in reports with small or specific samples. Before trusting any report, demand transparency: methodology, sample details, data spread, and discussion of limitations. Use multiple sources to identify patterns, but never substitute benchmarks for your own testing. Stay skeptical, ask better questions, and build strategies on solid ground rather than marketing spin.
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