Cache for Browsing
Scale for Selling

February 2014
Is your site costing you more money than it’s making?

A poor performing site treats customers browsing your site the same...
Do You Know Who Your Serious Customers Are vs. the Window
Shoppers?

95% of traffic to web-sites is read-only
Most visitor...
Window Shoppers May Eventually Turn into Serious Shoppers
A 1-second delay in page load time equals 11% fewer page views,
...
Cache for Faster Response Time

Define the average time between requests for any given
page
Consider:
• How long can a pag...
Cache for Faster Browsing

Categorize different page types
Consider:
• Identifying read-only, popular pages that experienc...
Cache for Improved Customer Experience

Identify the pages that have infrequent repeat visits
Consider:
• How caching may ...
Scale for Selling

Scaling for unpredictable, spikey traffic to your site
Consider:
• How you can detect window shoppers v...
Cache for browsing; Scale for Selling

Prepare your eCommerce platform for caching by:
1.
2.
3.
4.

Identifying static com...
How to capture greater revenue from your eCommerce site
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How to capture greater revenue from your eCommerce site

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Is your site costing you more money than it’s making? Learn how sophisticated caching and scaling can help your company capture more revenue from your eCommerce platform.

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How to capture greater revenue from your eCommerce site

  1. 1. Cache for Browsing Scale for Selling February 2014
  2. 2. Is your site costing you more money than it’s making? A poor performing site treats customers browsing your site the same as if they are buying from your site. Slowly Sophisticated caching can help deliver an eCommerce site that is fast for browsing. Dynamic scaling can help capture more revenue when browsers become buyers. 2
  3. 3. Do You Know Who Your Serious Customers Are vs. the Window Shoppers? 95% of traffic to web-sites is read-only Most visitors to your site are window-shopping. They’re checking out: • your products • pricing • shipping costs 3
  4. 4. Window Shoppers May Eventually Turn into Serious Shoppers A 1-second delay in page load time equals 11% fewer page views, 16% decrease in customer satisfaction, and 7% loss in conversions Improving the speed and performance of your site can help the window-shopper and the buyer. 4
  5. 5. Cache for Faster Response Time Define the average time between requests for any given page Consider: • How long can a page live in cache without impacting the customer experience • Length of time that allows a page to remain dynamic and fresh We recommend setting cache for 5-10 seconds. After the cache has expired, the page will be refreshed from the application server. 5
  6. 6. Cache for Faster Browsing Categorize different page types Consider: • Identifying read-only, popular pages that experience a high volume of repeat visit • Identifying pages where customers will click buy We recommend caching all catalogue, read-only, static page (assets). This will move traffic demands from the application to the caching tier, improving the experience of both your window-shoppers and the serious buyer. 6
  7. 7. Cache for Improved Customer Experience Identify the pages that have infrequent repeat visits Consider: • How caching may expire for pages that have infrequent repeat visits, resulting in requests hitting the application server. We recommend analyzing traffic to determine where visitors go within the site then pre-warm the cache based off that analysis. 7
  8. 8. Scale for Selling Scaling for unpredictable, spikey traffic to your site Consider: • How you can detect window shoppers vs. serious shoppers • How you can ensure transaction-based activity goes straight to the application server. We recommend marrying a caching tier with an application scaling tier. If your site experiences a spike in checkout volume, an application that can dynamically scale can help your site capture new revenue. 8
  9. 9. Cache for browsing; Scale for Selling Prepare your eCommerce platform for caching by: 1. 2. 3. 4. Identifying static components (i.e. images, scripts, html pages) Determining the time frame when pages should be refreshed Identifying pages that experience frequent repeat visits Identifying common traffic patterns to ensure traffic from buying customer is sent to the application server 5. Identifying assets that should not be cached (i.e. a Twitter feed) Remember: Caching alone is insufficient to deliver a fast and responsive eCommerce site. Sophisticated caching + dynamic scaling can transform a poor performing site into a revenue capturing site. 9

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