Example of personalization depending on the login page
For those who visited the introductory Data Science course page, the bot asked clarifying questions to help them choose the right course.
Example of personalization based on interests
For those who visited the full Data Science course page, the bot offered a free career guide and other useful materials in exchange for contacts
Technographic. This segmentation is based on the devices customers use. For example, if conversion rates are lower for users on phones, you may need to optimize the mobile version of your website or app.
By activity on the site. For example, you can send letters with selections of new products to active clients, and send a reminder about yourself to passive ones with a pleasant discount-compliment.
Personalization
Each group should be communicated to differently, so once segmented, all messages should be personalized :
set up different scenarios for the chatbot in messengers and on the website;
create/or write pop-up messages based on user actions on the site ;
create different scenarios for web and mobile push notifications - offer new customers a discount on their order, send special offers to customers with high checks, and more.
Pop-up quiz with personalization
Pop-up quiz on the Swifts website, which brought in 9 sales for 67,825,000 rubles
How is customer centricity measured?
Today, there are no specific metrics that measure a company's customer centricity. But for indirect analysis, marketers look at retention rates, NPS levels , and conduct in-depth interviews .
Retention rate (RR) is a retention coefficient. It shows how many customers list of malaysia cell phone number return for repeat orders.
To calculate the retention rate, you need to know the quantity:
S — clients at the beginning of the billing period;
E — clients at the end of the period;
N — new clients for the period.
Next, the information received must be calculated using the following formula:
Retention rate formula
For example, at the beginning of the month the company had 200 active clients, at the end of the period 50 new ones were added, of which only 30 made a purchase.
Let's count:
E = 200 + 50 - 30 = 220 clients
RR = 220 - 50 / 200 * 100%
RR = 85%
write chains of trigger scenarios for email distribution ;
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