Integrations
5 min
reading time

🔗 Aiden + Squeezely

Written by
Simon van Duivenvoorde
Published on
10/2/2023

Aiden offers a powerful tool to help customers in your webshop, which also collects a lot of data about those customers. Squeezely offers a customer data platform for exactly this type of data. How do you use the information collected from your Aiden product finders in Squeezely to make the customer journey even more personal? And vice versa, how do you use Squeezely to get the most out of Aiden? That's what this article is about.

Aiden offers a powerful tool to help customers in your webshop, which also collects a lot of data about those customers. Squeezely offers a customer data platform for exactly this type of data. How do you use the information collected from your Aiden decision aids in Squeezely to make the customer journey even more personal? And vice versa, how do you use Squeezely to get the most out of Aiden? That's what this article is about.

A bit of context: from first to zero party data

Customers who are looking for a product often surf around a web shop. In doing so, they produce a digital crumb trail of data that consists of click, search and purchase behavior. We also call this first party data: data produced by the own visitor to their own webshop.

You can write this data to Squeezely and then let it work for you. For example, for more relevant recommendations in the webshop: a customer visits the “family tents” category and therefore sees family tents on the homepage from now on. Super cool.

But what if the same customer also viewed the category pages of dome tents, tunnel tents and inflatable tents? So what is the customer looking for? What is the problem he is looking for a product for? What is the best product to recommend?

Of course, we can have a educated guess do it based on customer data. Or, a radical idea, we can also ask the customer:

  • What do you want to use the tent for? (festivals, longer vacations, tours by car)
  • Where do you mainly go with the tent? (rainy and cold destinations or sunny and hot destinations)
  • How many people should the tent be suitable for?

This is the philosophy of guided selling and Aiden. In a decision aid, you ask about the situation, wishes and needs of the customer and link this to your product range. This tells you the why behind the what. With this information, you can not only help customers directly; you can also write the collected data from the decision aid (the answers that are provided, the products that are recommended, the products that are clicked) back to Squeezely.

The data from decision aids is zero party data. Zero party data is provided by a customer voluntary and sentient left at an online store. Because of its reliability and relevance, zero party data is therefore also known as the holy grail of data.

Getting started with Aiden + Squeezely

We'll discuss seven simple use cases to make the connection between both platforms work for you. Looking for technical documentation? Check here the simple step-by-step plan that gives you all the decision aids events to Squeezely continues.

#1 - Use Webbplats Reminders to show recommended products

The recommended products from a selection guide are part of the Squeezely 360-degree customer profile. Because decision aids often only buy the next time they visit, it pays to bring extra attention to these products.

The Website Reminders in Squeezely allow you to show previously viewed products to returning website visitors. For example, you can allocate certain sections on your website to relevant product sets based on the customer profile.

#2 - Use Toasters and Overlays to show the decision aid to doubting visitors

You want to help a customer in the moment that matters. In other words, if you know that a customer is unsure, that is a very good time to offer a decision aid.

With Squeezely's Toasters and Overlays, you can set triggers based on the website visitor's behavior. For example, a minimum number of pages visited, or a certain time-on-page as a trigger. Choose what best suits your case, such as an overlay, toaster, pop-up or notification bar. Determine the trigger (s) and address the doubting customer at the right time.

#3 - Collect new email addresses with the selection tool

A decision aid is an effective way to recruit new, valuable email addresses. On the advice page of the selection aid, you can give customers the option to leave their email address and subscribe to the newsletter. These email addresses are then collected in Squeezely, which grows your email database.

#4 - Send advice to customers

The most common interpretation of #4 is to send the advice. The customer (or, for example, the customer's partner) receives an email with the recommended products to review again and you add an email address to your database.

Once a customer leaves their email address, Aiden sends the relevant product IDs and email address to Squeezely. There, and in your email software, you then make a journey to ensure that the email with the recommended products is actually sent.

#5 - Create a quiz to discover customer personas and enrich customer profiles

With Aiden, you don't just make product selection aids easy. For example, you can also create a style selection aid in no time.

Think about:

  • Which home style suits me? (such as the Living styles quiz by fonQ)
  • What type of camper am I?
  • Which colors suit me?

The advice here is not a product, but relevant content about your style or profile. And let this fit in nicely with the different personas or customer profiles that you serve with your webshop. From the Squeezely 360-degree customer profile you then use this to segment and personalize the customer journey.

For example, a style of segmentation on your email database, where experienced skiers have different (more personal!) content and offers get that for beginners. Or a budget segmentation in your newsletter, where customers who have chosen a higher price segment in a decision aid will also see more expensive products in their newsletter.

#6 - Use decision guide answers for relevant content

With a decision aid, you can discover a lot about customer needs. Is he looking for waterproof or lightweight hiking boots? What terrain will he walk over? What is his budget?

With all these answers, you can work within Squeezely to also show products and content that visitors are actually interested in elsewhere in the customer journey. For example, create specific audiences that you can use to segment and personalize your newsletters.

#7 - Use email as a driver to your decision aid

Do you have a lot of customers in your email database that you'd like to know more about? Contact this segment of customers via email with a call-to-action to the (style) selection tool. This is accessible content with often a high response rate. Style choice aids are also well appreciated by customers; they therefore often have a completion rate about 90%. And because Squeezely recognizes these customers, you can immediately make ends meet.

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