Traffic is not the problem. The buying path is the problem. Fixing conversion first often unlocks growth with the same budget. This topic matters more now. Ad costs rise. Competition is tighter. Buyers also have less patience. A store can attract the right visitors and still lose them.
According to Baymard Institute's analysis of 50 studies, the average online shopping cart abandonment rate is about 70.22%, meaning roughly seven out of every 10 shoppers who add items to a cart never complete the purchase. In most cases, lost conversions are not driven by a lack of intent but by friction during checkout. Checkout optimization focuses on removing that friction between purchase intent and payment confirmation. Across both small ecommerce stores and global marketplaces, four principles consistently drive measurable improvements: speed, pricing transparency,
The digital economy is shifting faster than most teams can adapt. The Epic vs. Apple ruling, which loosened the App Store's control over payment flows, simply accelerated a transition that was already underway. In practical terms, Epic challenged Apple's right to force developers into using its in-app payment system, opening the door for brands to steer users toward alternatives with different economics. When attribution visibility narrowed under Apple's app tracking transparency (ATT), customer acquisition cost (CAC) climbed.
If you do not get laser focussed on this right now, you run the risk of having marketing activity that drifts loose with no real purpose. You need to base everything you do to promote and acquire new affiliate partners around three clear principles: Why You - Why do you want to work with that affiliate in particular? Why Me - Why are you the right program or affiliate manager for that affiliate?
With digital trends accelerating, it's more important than ever that marketers know how to build strong, data-driven marketing strategies. Data-driven marketing is a type of marketing strategy that is based on using consumer information to develop and optimize marketing campaigns and messaging. It is extremely impactful because marketing efforts are based on online trends and are specifically tailored to the organization's target audience.
Google is rolling out controlled A/B testing for creatives directly inside Performance Max. You can now test two asset sets in a single asset group, with a defined traffic split and experiment structure. Select a Performance Max campaign and one asset group Define: - Assets A = control (existing live assets) - Assets B = treatment (new or alternative creatives) Common assets = shared assets that keep serving in both variants