How does Analytics help with conversions?
Comment l'analyse aide-t-elle les conversions ?
As mentioned earlier, measuring is an important way to improve conversions. That's why it's significant to know what your foundation is before you start conversion rate optimization. Analytics is a significant tool to help you with this.
You can use web traffic analysis tools such as Google Analytics to monitor the behavior of visitors to your website. You can also use the heatmap and click tracking tools to see which areas of the webpage are most successful at grabbing visitors' attention. Once you have this knowledge, you can start thinking about how to improve your core metrics.
You can also create goals and funnel methods in Google Analytics to match your customer funnels and key conversion goals. This makes it easy to see what works and what doesn't. Besides Analytics, you can often get this information through customer feedback.
Email platforms such as Jilt are related to your email campaigns; It includes detailed analysis of actions such as open rates, click-through rates, and attributable revenue.
When you thoroughly consider the metrics around your individual pages and emails, you can start to think about reasons why certain pages or email campaigns aren't converting well. Thus, it will help you in generating hypotheses, which is seen as an important part of conversion rate optimization.
As mentioned earlier, measuring is an important way to imprComme nous l'avons mentionné précédemment, la mesure est un moyen important d'améliorer les conversions. C'est pourquoi il est important de connaître votre base avant de commencer à optimiser le taux de conversion. L'analyse est un outil important pour vous aider à cet égard.
Vous pouvez utiliser des outils d'analyse du trafic Web tels que Google Analytics pour surveiller le comportement des visiteurs de votre site Web. Vous pouvez également utiliser les outils de carte thermique et de suivi des clics pour voir quelles sont les zones de la page Web qui réussissent le mieux à attirer l'attention des visiteurs. Une fois que vous disposez de ces connaissances, vous pouvez commencer à réfléchir à la manière d'améliorer vos mesures de base.
Vous pouvez également créer des objectifs et des méthodes d'entonnoir dans Google Analytics pour correspondre à vos entonnoirs de clients et à vos principaux objectifs de conversion. Cela permet de voir facilement ce qui fonctionne et ce qui ne fonctionne pas. Outre Analytics, vous pouvez souvent obtenir ces informations grâce aux commentaires des clients.
Les plateformes d'emailing telles que Jilt sont liées à vos campagnes d'emailing ; elles comprennent une analyse détaillée des actions telles que les taux d'ouverture, les taux de clics et les revenus attribuables.
Lorsque vous examinez minutieusement les mesures relatives à vos pages et à vos e-mails individuels, vous pouvez commencer à réfléchir aux raisons pour lesquelles certaines pages ou campagnes d'e-mails ne sont pas bien converties. Ainsi, cela vous aidera à générer des hypothèses, ce qui est considéré comme une partie importante de l'optimisation du taux de conversion.
ove conversions. That's why it's significant to know what your foundation is before you start conversion rate optimization. Analytics is a significant tool to help you with this.
You can use web traffic analysis tools such as Google Analytics to monitor the behavior of visitors to your website. You can also use the heatmap and click tracking tools to see which areas of the webpage are most successful at grabbing visitors' attention. Once you have this knowledge, you can start thinking about how to improve your core metrics.
You can also create goals and funnel methods in Google Analytics to match your customer funnels and key conversion goals. This makes it easy to see what works and what doesn't. Besides Analytics, you can often get this information through customer feedback.
Email platforms such as Jilt are related to your email campaigns; It includes detailed analysis of actions such as open rates, click-through rates, and attributable revenue.
When you thoroughly consider the metrics around your individual pages and emails, you can start to think about reasons why certain pages or email campaigns aren't converting well. Thus, it will help you in generating hypotheses, which is seen as an important part of conversion rate optimization.