Total amount of visitors on the sample set.
The timestamp of the first event on the sample set.
The timestamp of the last event on the sample set.
Average visitor age
The average time between the first visit and the current time for all visitors on the sample set. This can vary a lot, depending on how mature the market segment is.
The number of visitors whose age is longer than the average visitor lifetime. We only sample visitors that are mature enough to give the correct retention and conversion numbers.
Anything less than 300 visitors gives you a warning because the sample set is too small for statistically significant results. You must either wait for more visitors to appear or if the visitor count is more than 300, you must wait for the visitors to mature.
Amount of returning visitors not on their first visit.
Amount of visitors that entered the website through the page.
Amount of first-time visitors that entered the website trough the page. This critical subset of visitors reveals how the page behaves at the top of the conversion funnel (TOFU).
3 second stay rate
The percentage of the first-time visitors who stayed on the landing page for 3 seconds or more, which is enough time to form the first impression. If people leave at this stage, something is clearly broken, but the easiest to fix.
7 second stay rate
The percentage of new visitors who paid attention to the content for 7 seconds or more. This should be enough for the person to figure out the problem the product aims to solve. Also known as problem awareness.
15 second stay rate
The percentage of visitors who paid attention to the content for 15 seconds or more. This should be enough for the visitor to figure out how the product solves the presented problem. Also known as solution awareness.
1 minute engaged rate
This is the percentage of visitors who paid attention to the content for one minute or more. These visitors are clearly interested in the product.
3 minutes engaged rate
The percentage of visitors who paid attention to the content three minutes or more. These visitors are more likely to return in the near future.
The amount of time the person actively spends on a single web page. Other popular terms for this metric are “total time reading,“ (for Medium.com) “attention time,“ or “dwell time.“
The number of viewports consumed on a page. A viewport is marked consumed after receiving enough attention so that we can assume that the person had fully read its content. This time depends on the viewport size. Bigger viewports require more time than the smaller viewports.
For example a 1440 × 900 sized viewports requires 15 seconds of engagement.
Percentage of visitors who continued to the next page. This is the inverse of bounce rate, but with a positive meaning. Generally speaking, all metrics should be positive and something you want to increase.
The number of pages visited on a single session. Volument does not count hidden, unvisited browser tabs.
Engagement score tells how effectively a single web page can hold visitor attention. This analytical score is built as follows:
5 points — from staying 7 seconds on the page
10 point — from staying 15 seconds on the page
50 points — for one minute of activity
100 points — for three minutes of activity
100 points — for proceeding to the next page
So when everyone continues to the next page, the score is 100, and if everyone actively engages three minutes on the page and then proceeds to the next page, the score is a hefty 200. A low score, however, means that the experience was somehow wrong, and people leave the site quickly after entering the page.
Visitor lifetime defines how long (in days) visitors actively interacts with your site before they stop visiting. The longer they are retained, the better. This is the most impactful metric because as you increase visitor lifetime, you will also increase virality and the conversion rates.
When people stay longer, they have more chances to convert and share the product with others, and you have more opportunities to monetize them.
The percentage of visitors who came back once or more.
The percentage of visitors who came back twice or more.
The total amount of visits during the visitor lifetime.
Total time engaged
The total amount of seconds the person had been focusing on the content within the visitor lifetime.
Total viewports consumed
The total amount of viewports consumed within the visitor lifetime.
The percentage of visitors who gave their contact information. Also known as lead conversion rate.
The percentage of visitors who invited other people to the site and contributed to viral growth. These people are converted to promoters. Also known as “evangelists.“
Invitations per visitor
The total amount of invitations made by a visitor.
Friend signup rate
The percentage of the invited peers who accepted the invitation and signed up on the website. Also known as the accept rate.
The number of new sign-ups a visitor generates. If this is 0.5, then each visitor brings in 0.5 new leads. A value greater than one implies exponential growth.
The percentage of visitors turned into paying customers. Also known as customer conversion rate.
The percentage of visitors who purchased more than once.
Revenue per visitor
The amount of revenue visitors bring during their lifetime.
Volument uses traction to rank segments from the most valuable to the least valuable. It is a useful “north star metric” for e-commerce sites and mobile applications where the sales cycles are short and where you don't have enough conversions for statistically significant results.
Traction is an analytical score from all the metrics in the conversion funnel. Volument uses the following weights when calculating this score:
1 — from one minute of engagement
3 — from three minutes of engagement
10 — for coming back to the site
5 — for coming back again
20 — for signing-up
10 — for inviting friends to the site
50 — for making a purchase
20 — for making another purchase
The resulting sum varies between 0-100 but can rise above 100 with virally growing businesses, which is extremely rare and usually temporary.
Unlike revenue, traction works for everyone. It is specifically useful for:
- SAAS products with long trial periods,
- Startups who are not receiving many conversions yet, and
- Non-profit organizations.