In Cool Tabs, you can check how your campaign is working and how users behave. Thanks to the data and graphs we provide you with, you will know how they access your campaign, which sources or media that work best to promote it (Twitter, Facebook, Instagram, invitations sent by participants, etc.), what day of the week they participate the most, at what time, who are the participants that get the most referrals, how many participate from mobile devices, etc.
In addition, we offer you a conversion funnel, which tells you what is the conversion at each step of your campaign and what percentage of users do not reach the final participation screen.
Below, we show you the statistics you will find.
Please note that depending on the configuration of your campaign (voting, restricting participation by country, etc.) some data may vary.
2. Where to check the statistics.
To check the statistics of your campaign, go to the 'Leads' section of the campaign you want to check.
In the navigation menu, located on the left side, click on 'Statistics', where you will be able to review the data of the participations, visits, personalized campaigns, and conversions of your campaign.
3.1. Campaign participation data.
- Participations: total number of participations (published) obtained in the whole campaign. Remember that a campaign may have publications pending validation or that have been unpublished by the campaign administrator.
- Referred participations: total number of shares that have been made thanks to the viral actions of other participants.
- Unique leads/emails: number of emails that have been captured from unique participants.
- Unique participants: number of unique users who have completed the campaign to the end. Thus, for example, we can have a campaign with 2 participants and 10 participations, because each user has participated 5 times.
3.1.1. Participation by hour and weekday.
These graphs allow you to know at what time there is more participation and, therefore, to know what is the best time to disseminate the campaign in your social networks, newsletter, etc. As well as the number of participants each day of the week. Very useful to know which days you should put more emphasis on promoting the campaign.
3.1.2. Participation data according to the media and sources from which they have been received.
This graph shows where the participation has come from. What are the sources of acquisition.
- Referred domain: indicates the traffic that reached the campaign through a link in another domain.
- Participations source: indicates where the traffic comes from. When the share does not come from anywhere, but originates from the user's own browser, because the user types the address directly or clicks on a direct link, the source is considered 'No traffic'.
- Participations medium: indicates in a more general way, including the source, how the participation takes place. When accessed directly, it is considered a 'Direct' medium.
- Medium details: shows the daily evolution of the sources from which the participations have been received. You can click on each of them to see in detail its evolution during the days of the campaign.
3.1.3. Other participation data.
You will find graphs showing participation data regarding who accesses the campaign and how they do it.
- Use by device: represents the percentage of participation that has been made from mobile devices compared to those who have participated from their computer.
- By country: indicates the country from where the participations have been registered.
- By age range: if you have configured that participants have to specify their date of birth to participate, you will find a graph that reflects the number and percentage of participants based on their age.
- Referred participations: indicates the participations that have been made thanks to the viral actions of other participants in the campaign versus the percentage of direct participations.
- By campaign: if you have created a custom URL campaign, you will find here the number of participants received per campaign.
3.1.4. Users who have obtained the most referrals.
This graph shows the email, name or ID of the users who have recruited the most participants for the campaign.
Referrals are those users who have participated in the campaign through a link, wall posting or invitation of these participants within 48 hours after the link was posted or the invitation was sent.
3.1.5. Quiz or questionnaire participation data.
If you have set up quizzes or surveys, you will find information on the number of users and the percentage of users who have selected each answer option, as well as the number of users who have obtained each of the final screens.
3.2. Campaign conversion data.
You will find information on the daily and cumulative conversion of unique users into shares. This data is important because it reflects how the campaign is working and the acceptance it is having.
- Average conversion = (Unique Registrations / Unique Visitors) x 100
What is the optimal conversion of a campaign? There is no specific conversion rate that can be established to consider an action as successful; it depends on factors such as the price, the type of mechanics chosen, and the data form... However, it is considered that, in an interactive content campaign, whether for recruitment or dynamization, the average conversion rate is between 20-25%. Any action below this percentage can be considered bad. Above 40%-45%, it is exceptionally successful.
4.1. Campaign visits data.
- Total visits: total number of visits received by the campaign landing page.
- Visitors or unique users: total number of unique users that have reached the campaign. The same user has been able to access the campaign landing page more than once, so the number of total visits may be higher than the number of unique users.
- Page views: total number of pages viewed throughout the campaign. If the campaign has 10 questions and the user answers all of them, he will have viewed 10 pages.
4.1.1. Visits by hour and weekday.
- Visits by time of day. Reflects the hours with the highest number of visits.
- Visits per day of the week. This graph shows the number of visits the campaign has had each day of the week.
4.1.2. How the visits arrive at the campaign.
- Direct visits vs. referred visits: represents the percentage of direct visits compared to those referred through a source (Facebook wall, Twitter, an invitation, etc.).
- Visits by device: shows the percentage of visits made from mobile devices.
- Visits by campaign: if you have created a link campaign, here you will find details of the visits received by the campaign.
- Visits source: shows the main traffic sources of the campaign.
- Medium details: shows the daily visits from each defined source.
If you have enabled the voting option in your campaign, you will find this section with statistics on the votes cast.
5.1. Voting data and fans obtained by votes.
In this first graph of the section, we will see the evolution of two data:
- Votes: total number of votes received in the participations.
- Referred votes: votes that have reached the campaign through the viral actions of the participants.
5.1.1. Votes per hour and day.
These graphs show the number of votes per hour of the day, as well as the total number of votes for each day of the week during the duration of the campaign.
5.1.2. Users who have obtained the most referred votes.
These are those participants who have obtained, through their activity, votes from other users. This activity may have consisted of posting the link to their participation on the wall or other media/social network, or sending invitations. This graph will therefore reflect the number of votes recruited by the most successful users, which have become effective within 48 hours of the participant posting the link or sending an invitation.
5.2. Data on who votes and how they vote in the campaign.
The following graphs show details about the voters:
- Votes by device: number and percentage of votes that were cast from mobiles or tablets versus those cast from desktop.
- Referred votes: number of votes that have been produced thanks to the viral actions of the participants.
- Votes from other channels: Votes received in the campaign from channels other than the main site where the campaign is published, such as your website, your blog, etc.
5.3. Origin of the votes.
This graph shows the sources from where the votes come from.
For example direct, users' Facebook wall, Facebook invitation or WhatsApp.
5.4. Daily votes by source.
This last graph shows the daily evolution of votes by source.
You can click on each of them to see in detail their evolution during the campaign.
If you have configured the sending of emails to the participants of the campaign, you will be able to access the 'Email' section, where you will find statistics related to the global sending and to each of the email templates sent in the campaign.
This data refers to:
- Emails accepted or delivered
- Opens: total and unique
- Email events: reflects data on rejected emails, processed emails, bounced emails... If you want to know in more detail what each event means, see the tutorial Email events stats.
The 'Conversions' section offers detailed information on the conversion funnel according to the different pages of the campaign, sources, etc.
Thanks to this data, you will be able to know how your audience behaves and analyze the funnel of the campaign. Do many users arrive at the landing page, but do not click to participate? Does the highest percentage of user abandonment occur in the personal data form? Do participants not get past the third question of the quiz?
Please note that there may be discrepancies between the data from these conversion funnels and the visit/participation data from our reports. The funnel and visit data depend on Google Analytics, which may not be accurate due to Adblockers or cookie managers.
7.1. Total conversions.
The graph in the total conversions section indicates how many visits the campaign has had and how many of these visits have been converted into participation, both in number and percentage.
You will see reflected the conversion that has taken place in each phase and the abandonments that have occurred.
Check the percentage of users who reach the form. If there are many abandonments on the landing page, you may need to rethink the main image and the information you offer in it. Is it an attractive image? Is the participation mechanics clear? And the benefits that users can obtain?
In the final part of this first section, you will see detailed viralization data for the campaign, i.e. the number of times a user has clicked on share on Facebook, Twitter, WhatsApp/Telegram, etc.
7.2. Conversions by source.
In the left dropdown, you can choose the source, to see in detail the conversions obtained from each source used to disseminate the campaign.
The most common Facebook referral sources you will find in your reports are:
As you can see, there are different referral sources related to Facebook. There are two reasons:
1) Facebook is available on several different subdomains.
2) Facebook uses redirects to protect its users.
- m.facebook.com / facebook.com: the referral preceded by the letter 'M' means that the traffic comes from users who view your content from mobile. Without it, it comes from a computer (desktop or laptop).
- l.facebook.com / lm.facebook.com: the reference preceded by the letter 'L' means that the user has previously passed through a link shim, a Facebook tool to protect the user from possible malicious URLs. Therefore, we are in the same scenario as with the previous sources, the existence or not of the letter 'M' tells us that the traffic comes from mobile or desktop.
7.3. Conversions by campaign.
You will see the visits, total conversions, and overall conversion rate for each of the custom link campaigns you have created.
7.4. Conversions per day and source.
Finally, you will be able to see in detail the conversions per day and source and the conversions per day and campaign, to know the specific conversion data.
8. Other specifications.
You are probably wondering why there is a notable difference between the data of users who have accessed your campaign, which is reflected in the 'Visits' section, and those collected in the 'Conversions' section. Where does this disparity come from? As we will explain below, the main reason lies in ad blockers.
The data collected in the 'Participations' and 'Visits' sections are those collected from the Cool Tabs snippet, which is a proprietary measurement of the platform. This tracking code reflects higher data than the 'Conversions' section because it is less likely to be blocked by ad blockers or cookie managers.
The 'Conversions' data is provided directly by the Google Analytics snippet. It is a different measurement system. That tracking code is affected to a greater extent by ad blockers and similar mechanisms, which prevent the snippet from being painted and therefore tracking the user accessing the campaign.
Why do we use two different systems? Precisely because of that data disparity we have just seen, which years ago was not so significant. Nowadays, many browsers already implement, by default, this type of tool and are increasingly affected.
So, what is the real data? As you can guess, it is much more accurate to count on the Cool Tabs data (section 'Engagements'), than the one provided by Analytics (section 'Conversions').
Cool Tabs statistics are only available for campaigns created with Cool Promo and Cool Promo White Label applications, not with Cool Promo Lite.
Please note that you will have access to your campaign statistics as long as you have activated one of our plans. Once your plan expires or you unsubscribe, you will only have access to the statistics up to five days after the end of the plan.
9. Related content.