Campaigns and Algorithms of Push Module
Effects of Personalised Email Campaigns
Segmentify’s all email campaigns are listed within 3 main categories:
Bulk / Segmented
If there is a discounted product within the products that each of the visitors viewed before, Segmentify shows these discounted products to the visitors and identifies the minimum discount ratio to be sent.
Price Drop Email Campaign
If any of the products that visitors viewed before were out of stock at that moment, Back in Stock works and lets the visitors know when they are back in stock.
Back in Stock Email Campaign
We Missed You Email Campaign
The Churn algorithm is for the customers who made at least x purchases from the store previously and have not been visiting for the last n days. The purchase number and the number of non-visiting day values are configurable. Smart Offers is the algorithm used here. It finds the favourite categories for each customer and recommends the most purchased products in those categories.
Churn Email Campaign
The Order Follow Up algorithm works when a visitor makes a purchase. Segmentify sends the related bundle of the last purchased product after n days of their order. The personalised Complementary Products algorithm works here. It offers customers the best products based on their taste and their last orders on eCommerce websites. And it can also identify how many emails will be sent on a monthly/weekly/daily basis.
Order Follow Up Email Campaign
New Arrivals Email Campaign
Top Sellers algorithm shows the top seller products in the store. It aims to show the most popular products to visitors and direct them to purchase these items. It works for visitors who have viewed at least one product in the last week.
Top Sellers Email Campaign
The Birthday campaign is a mix of Smart Offers, New Arrivals, and Discounted Products algorithms. Additionally, it is possible to customise the number products that will come from these algorithms. In this campaign, the birth data of all users who have permitted at the time selected from the panel are checked to see if they have birthday data. On the day of the user's birthday, the campaign works.
Birthday Email Campaign
The Abandoned Cart algorithm works when a visitor adds a product to the basket but leaves the website without purchasing. Within this scenario, it can simply identify how many emails the Segmentify account will send on a daily/weekly/monthly basis per user.
Abandoned Cart Email Campaign
The Last Visit Alternatives scenario works when a visitor views a product and leaves the website without any basket action. For these visitors, the most related products are recommended after a specific period. The Personalised Alternative Products algorithm is used in this campaign. It offers visitors the best products based on their browsing history. Within this scenario, you can simply identify how many emails will be sent on a daily/weekly/monthly basis per user.
Last Visit Alternatives Email Campaign
The Nice to Meet You scenario works for the newly registered visitors, aiming to convert them to customers by completing their purchases.
Nice to Meet You Email Campaign
Last Visit Reminder Email Campaign
Fly Mode Campaigns offer the opportunity to send emails for any specific user behaviour. It is triggered along with any behaviour (event) of the user. Campaign content can be selected on the panel and all algorithms can be used.
Bulk / Segmented Email Campaigns
Bulk / Segmented Email Campaigns offer the opportunity to send emails to all customers or micro-segments. Our customers can inform their users about updates on their favourite categories.
Bulk / Segmented Email Campaign Page
This algorithm shows the most popular products. The most popular products are determined by Segmentify Rock Score. It aims to show the most popular products to visitors and direct them to purchase these items.
From this algorithm, products can be requested on a daily, weekly, monthly time frame basis.
This algorithm brings each user’s last purchased products. The aim is to help customers with speeding the purchase process who buy repetitive products (such as toilet paper, bottled water). Here, it can also return products that are not in stock as recommended.