{"id":3192,"date":"2022-02-18T11:02:42","date_gmt":"2022-02-18T19:02:42","guid":{"rendered":"https:\/\/thegood.com\/?post_type=insights&p=3192"},"modified":"2025-05-21T09:40:26","modified_gmt":"2025-05-21T16:40:26","slug":"how-to-optimize-conversion-rates-with-low-traffic","status":"publish","type":"insights","link":"https:\/\/thegood.com\/insights\/how-to-optimize-conversion-rates-with-low-traffic\/","title":{"rendered":"How To Increase Website Conversions With Low Traffic"},"content":{"rendered":"\n

While it would be nice to have an endless stream of traffic to your site, for many brands it\u2019s more of a trickle\u2013and, in some cases, a very, very <\/em>small trickle. <\/p>\n\n\n\n

You may not be able to generate thousands of visitors overnight, so it\u2019s difficult to run quick conversion optimization tests to improve your sales.<\/p>\n\n\n\n

Here\u2019s the thing: high-traffic websites can run multiple experiments and variations at the same time because they have a large pool to draw from. This means they can see statistically significant results in a matter of days or weeks, producing faster iterations, more tests, and more data-proven results. <\/p>\n\n\n\n

Sure, low-traffic sites can <\/em>still run the same amount of tests and variations, but with a much smaller pool of visitors, they won\u2019t produce the same statistical significance (unless they run the tests for weeks and weeks on end). <\/p>\n\n\n\n

How much traffic is considered enough to run CRO tests? <\/strong><\/h2>\n\n\n\n

There\u2019s no hard and fast rule here, but we recommend having 5,000 visitors per variation for CRO tests to work effectively and provide accurate results. Alternatively, you can look for a 95% reliability rate if you have less traffic than that. <\/p>\n\n\n\n

If you don\u2019t reach that threshold, how can you optimize conversions? <\/p>\n\n\n\n

6 ways to boost conversions even with low traffic <\/strong><\/h2>\n\n\n\n

1. Quantitative research\u00a0<\/strong><\/h3>\n\n\n\n

If you don\u2019t have enough traffic to draw from, you can work with what you have. Quantitative research involves collecting close-ended numerical data<\/a> and using it to identify patterns and analyze characteristics. <\/p>\n\n\n\n

For example, dive into your Google Analytics data to determine key drop-off points for visitors, the journey people take on your site, their demographics, and their overall shopping behavior.\u00a0<\/p>\n\n\n\n

You can also use closed-question surveys to scale data and get the information straight from your customers themselves. You can send a post-purchase email or simply put a call-out on social media asking your target audience to share their thoughts. <\/p>\n\n\n\n

2. Qualitative research <\/strong><\/h3>\n\n\n\n

Qualitative research seeks a deeper understanding of why <\/em>visitors on your site behave in a certain way. While quantitative data helps you identify overall patterns and trends, qualitative data provides context. For example, you might discover that lots of visitors drop off at the point of checkout, but qualitative data will help you determine why <\/em>they drop off.<\/p>\n\n\n\n

You can try asking visitors open-ended questions as part of a survey or carry out phone interviews with a handful of your best customers. Your customer support team has valuable insights here too\u2013analyze live chat transcripts to identify conversion sticking points and ask your support team about the most common questions they get asked. <\/p>\n\n\n\n

\"casper<\/figure><\/div>\n\n\n\n

Casper gives shoppers money off if they complete a survey. <\/em><\/p>\n\n\n\n

User testing will give you an insight into what your website visitors actually think and do when they\u2019re on your site. You can use this information to draw conclusions and test hypotheses\u2013if it becomes apparent that visitors aren\u2019t sure where to go next from a product category page or the checkout form is too long, you can assume that this might be hampering conversion rates. Use a dedicated site like User Input<\/a> or carry out your own tests internally.\u00a0<\/p>\n\n\n\n

\"Fully<\/figure><\/div>\n\n\n\n

Fully<\/em><\/a> uses heat mapping to see where potential customers click the most. <\/em><\/p>\n\n\n\n

Heatmapping tools like Hotjar<\/a> and CrazyEgg<\/a> can also determine areas for improvement. <\/p>\n\n\n\n

3. Test your highest-traffic webpages<\/strong><\/h3>\n\n\n\n

Your site might have low traffic, but there are bound to be a couple of pages that get the lion\u2019s share of visitors. You can use these pages to run A\/B tests if the numbers are high enough, and apply the results to other similar pages. <\/p>\n\n\n\n

For example, if you get over 10,000 visitors to your bestseller page, you can test the CTA buttons, copy, headings, contact forms, visuals, and other elements on that page and apply the results to other product pages that get fewer visitors. <\/p>\n\n\n\n