Use this knowledge to understand your conversion rates per ad spend. If you spent $100 to make $800 then you made $8 for every $1 you spent. Conduct more tests, then scale out your efforts using the Pareto Principle, or the 80/20-Rule, which states that 80% of your results are coming from 20% of your efforts. Use meticulous tracking to discover the efforts that are leading to the biggest results. Simple as that.
Once you make your purchase, it should boost traffic for websites you’ve linked to. This is the first step in determining whether or not your purchase was worth it. The first step is getting people to your site. Going from 50 or 60 hits a day to hundreds or thousands has huge potential for a business. Just as any marketing strategy would have attempted, the idea is to get people to notice your website and to be interested in the offers you have made.
Write articles rich in content. Quality articles will get ranked better in search results. Make sure that your articles address the needs of your readers, and that they can find all of the information they need in one spot. This is the most effective means for increasing traffic to a website; offering people something that they cannot obtain elsewhere, or at least, not to the level of quality that you are offering it.
Awesome tips Brian. Always enjoy your posts. My question is, how can I boost traffic significantly if my keyword has pretty low search volume (around 100 monthly searches based on keyword planner)? I’ve been trying to expand my keyword list to include broader terms like “customer experience” but as you know that is super competitive. Do you have any suggestions for me? Thanks in advance.
The number of pages the visitors view. This is important. There was a large difference in the quality of the traffic. For the first mailing, the average visitor viewed 7.5 pages, and hence was likely to create a trial account. The group that received the second mailing averaged 2.5 pageviews each. The lesson is to stress the importance of well-targeted traffic. The question remains; why would one group of visitors look at more pages than another?