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If you’re starting a new campaign or selling a new product, you can create a baseline based on your current metrics. To get an idea of where you are starting out, note metrics like: Open rates Click rates Unsubscribe rates Conversion rates Spam rate. Social media also offers a cache of market research data. Emotion sells.
Lower load time by reducing image file sizes, using caching, and using a Content Delivery Network (CDN). This blog post , for example, features Gong’s purple, pink, and green brand colors and chatty tone of voice. When it does, look at the big picture rather than specific metrics. Review page speed on Pingdom. Singularity.
When it comes to data analysis, you are usually more likely to see me share guidance on advanced segmentation or custom reports or advanced social metrics or controlled experiments or economic value or competitive intelligence or web analytics maturity or one of an infinite number of difficult, if hugely rewarding, things. Not today.
In the graph above you can see the relation (green line) between load time and conversion rate for one of OrangeValley’s customers. Marketizator increased the number of servers and added a layer of caching to serve variations (whether that be A/B testing or personalization) faster. Just like in a any shop. Vendor Responses.
The VAST majority of what you’re dealing with (HTTP, MIME, HTML, CSS, JavaScript, relational databases, page template, authentication, session management, caching, etc.) But if I want to hire people that know about byte alignment and cache thrashing I look in the one place where.Net does not feature. Like what?! Robert Stanton.
Set targets: metrics to tackle the overarching goal for your product lifecycle. We need a metric or KPI that shows how good we are at increasing the likelihood that someone will convert in the future. Add events, scripts with custom triggers, dimensions, metrics, details on page views, hits. Shapes the curve of your business.
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