Mortgage consultation and monthly payment calculation.
Consultation with a trade-in specialist.
An e-book, for example, “How to check the reliability of a developer”, “How to choose an apartment in a new building”.
A checklist, for example, “Checklist for inspecting an apartment before buying.”
Qualification and collection of applications
The team of the developer "Strizhi" set up a quiz in a pop-up and shared the results for 3 months:
→ 8.5% — conversion from reading to contact;
→ 399 requests for consultation;
→ 9 sales;
→ 67,825,000 rubles.
If your website visitors are reluctant to leave their phone number, you can collect emails or offer to subscribe to a Telegram bot. Then we send the promised lead magnet right away, and then launch a warm-up chain of letters to motivate the user to leave a request.
Collecting applications from qualified users in a chatbot or pop-up, followed by warming up and leading to a conversation with a manager
Example of a warm-up mailing:
Welcome series of letters
how the process of buying an apartment goes, so that the user understands what awaits him at each stage;
what programs will help you buy an apartment, for example, trade-in, installment plan;
how the company helps the user get a mortgage: what documents are needed, review periods, approval rate, etc.
4. Collecting applications from users who answered the qualifying questions but did not leave an application
The script helps to collect applications from qualified users.
How the script works
The user answered the qualifying questions in a pop-up quiz, chatbot, or Telegram bot, but did not submit an application.
If the user visits the site again, after 5 seconds they will see a pop-up or list of italy cell phone number chat bot with a personalized offer.
For example, in the responses he indicated that he is interested in apartments with an area of 50-70 sq. m., and in the message he will see an offer to view apartments with an area of 50-70 sq. m.
Collect leads from qualified users with personalized pop-up messages
5. Collecting requests from users who came from specific advertising campaigns
The script helps to personalize offers and motivate users to leave a request.
How the script works
The user enters a query in the search, for example, “Apartment in Moscow with a mortgage from the developer.”
Your company's ad is displayed for this request.
When a user clicks on this ad and goes to the site, they see a message in a chatbot or pop-up with the same text as the query text. For example, if the query was "Apartment in Moscow with a mortgage from the developer", then the message on the site will be "Looking for an apartment in Moscow with a mortgage from the developer?"
Personalized Chatbot
How to set up a scenario
What else can you talk about in a warm-up newsletter:
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