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11.26.2024
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onshopify:

A weekly bulletin detailing the latest news and updates from Shopify.

11.26.2024
read
onshopify logo

A weekly bulletin detailing the latest news and updates from Shopify.

Power your personalisation: use first-party data for unique shopping journeys

We asked eCommerce brand managers and directors for their thoughts and predictions for a 2024 DTC expectations study. The results highlighted the growing importance of personalisation in enhancing customer experiences and driving loyalty.

This blog explores how to leverage first-party data to encourage conversions through meaningful connections. 

A recap on personalisation and first-party data

Personalisation involves tailoring the shopping experience to meet the individual needs and preferences of each customer, and first-party data is the information that your eCommerce brand collects directly from customers. 

The benefits of personalisation

Increased customer engagement:

Customers are more likely to engage with relevant content, products, and offers, increasing the likelihood of interactions and repeat purchases.

Higher conversion rates:

Tailored recommendations and targeted marketing messages can significantly boost conversion rates by showing customers exactly what they’re looking for.

Enhanced customer loyalty:

Personalisation fosters a deeper connection between your brand and your customers, building the type of trust that turns one-time buyers into long-term advocates.

How to collect first-party data 

✅Customer Profiles:

Encourage customers to create accounts and fill out their profiles with information about their preferences and interests.

✅Website Interactions:

Track customer behaviour on your website, including browsing history, product views, and cart additions. Analyse past purchases to understand what products and categories interest your customers the most.

✅Mobile Apps:

App users are some of a brand’s most keen customers, they’ve made the extra effort to download. Use app analytics tools to understand app usage and behaviour, which helps in tailoring the shopping experience.

✅SMS:

Text messaging is an intimate form of communication. Customers who share their phone numbers show a high level of interest. Measure engagement with SMS marketing campaigns to better understand customer preferences.

✅Email Campaigns:

Email campaigns provide data like open rates, click rates, and bounce rates. Analyse this data to understand who is engaging with your emails and tailor future communications accordingly.

✅CRM Systems:

Offline data from CRM or POS systems can be a valuable source of first-party data. Centralise POS data and website data for comprehensive insights into customer behaviour and sales trends.

✅Customer Service Interactions:

Customer service interactions provide valuable insights on customer needs, priorities, and preferences. Use this data to refine customer profiles and improve marketing campaigns.

Shopify's recently revamped analytics tools provide up-to-the-minute data, helping brands make informed decisions with real-time insights. For more information on Shopify Analytics, check out this blog.

5 personalisation strategies to try

  1. Dynamic Content: Use customer data to display personalised content on your website. This could include product recommendations based on past purchases or tailored landing pages that reflect customer preferences.
  1. Email Marketing: Personalise email campaigns by segmenting your audience based on purchase history, browsing behaviour, and customer preferences. Send targeted messages that resonate with each segment, such as personalised product recommendations, special offers, and relevant content.

    Last year, cart abandonment sat at around 70%, causing eCommerce stores to lose an estimated $18 billion in sales revenue. First-party data can help bridge the gap and encourage consumers to re-engage with your offering. Use this data to send personalised cart reminders, follow-up emails, and special offers to win back customers.
  1. Campaign Targeting: A campaign that speaks to everyone, speaks to no one. Strike a balance by targeting Google or Meta campaigns to the right customers, without sacrificing their privacy. By using first-party data, you can identify relevant customers across multiple channels and devices.
  1. Product Recommendations: Implement AI-powered recommendation engines that analyse customer data to suggest products they are likely to be interested in. This can be done on product pages, during checkout, and in follow-up emails. A study published this year reported that when customers receive transparent ads based on their activity on a site, the product’s revenue grows by 38%.
  1. Omnichannel Experience: By integrating first-party data from all channels, you can track the customer's journey from initial interaction to purchase, whether they moved from a social media ad to your website or from browsing online to buying in-store. By understanding the customer journey, you can optimise for a friction-free experience.

By leveraging first-party data, eCommerce brands can create tailored shopping journeys that connect with customers. Implementing the personalisation strategies discussed in this blog will help set your brand apart from the competition. 

Want personalisation advice unique to your brand? Get in touch.

11.26.2024
read
on brand logo

DTC 2024 Expectations Report

s for superco logo
11.26.2024
read
onbrand:

A weekly bulletin detailing the latest news and updates from Shopify.

Power your personalisation: use first-party data for unique shopping journeys

We asked eCommerce brand managers and directors for their thoughts and predictions for a 2024 DTC expectations study. The results highlighted the growing importance of personalisation in enhancing customer experiences and driving loyalty.

This blog explores how to leverage first-party data to encourage conversions through meaningful connections. 

A recap on personalisation and first-party data

Personalisation involves tailoring the shopping experience to meet the individual needs and preferences of each customer, and first-party data is the information that your eCommerce brand collects directly from customers. 

The benefits of personalisation

Increased customer engagement:

Customers are more likely to engage with relevant content, products, and offers, increasing the likelihood of interactions and repeat purchases.

Higher conversion rates:

Tailored recommendations and targeted marketing messages can significantly boost conversion rates by showing customers exactly what they’re looking for.

Enhanced customer loyalty:

Personalisation fosters a deeper connection between your brand and your customers, building the type of trust that turns one-time buyers into long-term advocates.

How to collect first-party data 

✅Customer Profiles:

Encourage customers to create accounts and fill out their profiles with information about their preferences and interests.

✅Website Interactions:

Track customer behaviour on your website, including browsing history, product views, and cart additions. Analyse past purchases to understand what products and categories interest your customers the most.

✅Mobile Apps:

App users are some of a brand’s most keen customers, they’ve made the extra effort to download. Use app analytics tools to understand app usage and behaviour, which helps in tailoring the shopping experience.

✅SMS:

Text messaging is an intimate form of communication. Customers who share their phone numbers show a high level of interest. Measure engagement with SMS marketing campaigns to better understand customer preferences.

✅Email Campaigns:

Email campaigns provide data like open rates, click rates, and bounce rates. Analyse this data to understand who is engaging with your emails and tailor future communications accordingly.

✅CRM Systems:

Offline data from CRM or POS systems can be a valuable source of first-party data. Centralise POS data and website data for comprehensive insights into customer behaviour and sales trends.

✅Customer Service Interactions:

Customer service interactions provide valuable insights on customer needs, priorities, and preferences. Use this data to refine customer profiles and improve marketing campaigns.

Shopify's recently revamped analytics tools provide up-to-the-minute data, helping brands make informed decisions with real-time insights. For more information on Shopify Analytics, check out this blog.

5 personalisation strategies to try

  1. Dynamic Content: Use customer data to display personalised content on your website. This could include product recommendations based on past purchases or tailored landing pages that reflect customer preferences.
  1. Email Marketing: Personalise email campaigns by segmenting your audience based on purchase history, browsing behaviour, and customer preferences. Send targeted messages that resonate with each segment, such as personalised product recommendations, special offers, and relevant content.

    Last year, cart abandonment sat at around 70%, causing eCommerce stores to lose an estimated $18 billion in sales revenue. First-party data can help bridge the gap and encourage consumers to re-engage with your offering. Use this data to send personalised cart reminders, follow-up emails, and special offers to win back customers.
  1. Campaign Targeting: A campaign that speaks to everyone, speaks to no one. Strike a balance by targeting Google or Meta campaigns to the right customers, without sacrificing their privacy. By using first-party data, you can identify relevant customers across multiple channels and devices.
  1. Product Recommendations: Implement AI-powered recommendation engines that analyse customer data to suggest products they are likely to be interested in. This can be done on product pages, during checkout, and in follow-up emails. A study published this year reported that when customers receive transparent ads based on their activity on a site, the product’s revenue grows by 38%.
  1. Omnichannel Experience: By integrating first-party data from all channels, you can track the customer's journey from initial interaction to purchase, whether they moved from a social media ad to your website or from browsing online to buying in-store. By understanding the customer journey, you can optimise for a friction-free experience.

By leveraging first-party data, eCommerce brands can create tailored shopping journeys that connect with customers. Implementing the personalisation strategies discussed in this blog will help set your brand apart from the competition. 

Want personalisation advice unique to your brand? Get in touch.

s for superco logo
11.26.2024
read

Power your personalisation: use first-party data for unique shopping journeys

DTC 2024 Expectations Report

Power your personalisation: use first-party data for unique shopping journeys

We asked eCommerce brand managers and directors for their thoughts and predictions for a 2024 DTC expectations study. The results highlighted the growing importance of personalisation in enhancing customer experiences and driving loyalty.

This blog explores how to leverage first-party data to encourage conversions through meaningful connections. 

A recap on personalisation and first-party data

Personalisation involves tailoring the shopping experience to meet the individual needs and preferences of each customer, and first-party data is the information that your eCommerce brand collects directly from customers. 

The benefits of personalisation

Increased customer engagement:

Customers are more likely to engage with relevant content, products, and offers, increasing the likelihood of interactions and repeat purchases.

Higher conversion rates:

Tailored recommendations and targeted marketing messages can significantly boost conversion rates by showing customers exactly what they’re looking for.

Enhanced customer loyalty:

Personalisation fosters a deeper connection between your brand and your customers, building the type of trust that turns one-time buyers into long-term advocates.

How to collect first-party data 

✅Customer Profiles:

Encourage customers to create accounts and fill out their profiles with information about their preferences and interests.

✅Website Interactions:

Track customer behaviour on your website, including browsing history, product views, and cart additions. Analyse past purchases to understand what products and categories interest your customers the most.

✅Mobile Apps:

App users are some of a brand’s most keen customers, they’ve made the extra effort to download. Use app analytics tools to understand app usage and behaviour, which helps in tailoring the shopping experience.

✅SMS:

Text messaging is an intimate form of communication. Customers who share their phone numbers show a high level of interest. Measure engagement with SMS marketing campaigns to better understand customer preferences.

✅Email Campaigns:

Email campaigns provide data like open rates, click rates, and bounce rates. Analyse this data to understand who is engaging with your emails and tailor future communications accordingly.

✅CRM Systems:

Offline data from CRM or POS systems can be a valuable source of first-party data. Centralise POS data and website data for comprehensive insights into customer behaviour and sales trends.

✅Customer Service Interactions:

Customer service interactions provide valuable insights on customer needs, priorities, and preferences. Use this data to refine customer profiles and improve marketing campaigns.

Shopify's recently revamped analytics tools provide up-to-the-minute data, helping brands make informed decisions with real-time insights. For more information on Shopify Analytics, check out this blog.

5 personalisation strategies to try

  1. Dynamic Content: Use customer data to display personalised content on your website. This could include product recommendations based on past purchases or tailored landing pages that reflect customer preferences.
  1. Email Marketing: Personalise email campaigns by segmenting your audience based on purchase history, browsing behaviour, and customer preferences. Send targeted messages that resonate with each segment, such as personalised product recommendations, special offers, and relevant content.

    Last year, cart abandonment sat at around 70%, causing eCommerce stores to lose an estimated $18 billion in sales revenue. First-party data can help bridge the gap and encourage consumers to re-engage with your offering. Use this data to send personalised cart reminders, follow-up emails, and special offers to win back customers.
  1. Campaign Targeting: A campaign that speaks to everyone, speaks to no one. Strike a balance by targeting Google or Meta campaigns to the right customers, without sacrificing their privacy. By using first-party data, you can identify relevant customers across multiple channels and devices.
  1. Product Recommendations: Implement AI-powered recommendation engines that analyse customer data to suggest products they are likely to be interested in. This can be done on product pages, during checkout, and in follow-up emails. A study published this year reported that when customers receive transparent ads based on their activity on a site, the product’s revenue grows by 38%.
  1. Omnichannel Experience: By integrating first-party data from all channels, you can track the customer's journey from initial interaction to purchase, whether they moved from a social media ad to your website or from browsing online to buying in-store. By understanding the customer journey, you can optimise for a friction-free experience.

By leveraging first-party data, eCommerce brands can create tailored shopping journeys that connect with customers. Implementing the personalisation strategies discussed in this blog will help set your brand apart from the competition. 

Want personalisation advice unique to your brand? Get in touch.

s for superco logo
11.26.2024
read
onshopify:

A weekly bulletin detailing the latest news and updates from Shopify.

11.26.2024
read
onshopify logo

Power your personalisation: use first-party data for unique shopping journeys

We asked eCommerce brand managers and directors for their thoughts and predictions for a 2024 DTC expectations study. The results highlighted the growing importance of personalisation in enhancing customer experiences and driving loyalty.

This blog explores how to leverage first-party data to encourage conversions through meaningful connections. 

A recap on personalisation and first-party data

Personalisation involves tailoring the shopping experience to meet the individual needs and preferences of each customer, and first-party data is the information that your eCommerce brand collects directly from customers. 

The benefits of personalisation

Increased customer engagement:

Customers are more likely to engage with relevant content, products, and offers, increasing the likelihood of interactions and repeat purchases.

Higher conversion rates:

Tailored recommendations and targeted marketing messages can significantly boost conversion rates by showing customers exactly what they’re looking for.

Enhanced customer loyalty:

Personalisation fosters a deeper connection between your brand and your customers, building the type of trust that turns one-time buyers into long-term advocates.

How to collect first-party data 

✅Customer Profiles:

Encourage customers to create accounts and fill out their profiles with information about their preferences and interests.

✅Website Interactions:

Track customer behaviour on your website, including browsing history, product views, and cart additions. Analyse past purchases to understand what products and categories interest your customers the most.

✅Mobile Apps:

App users are some of a brand’s most keen customers, they’ve made the extra effort to download. Use app analytics tools to understand app usage and behaviour, which helps in tailoring the shopping experience.

✅SMS:

Text messaging is an intimate form of communication. Customers who share their phone numbers show a high level of interest. Measure engagement with SMS marketing campaigns to better understand customer preferences.

✅Email Campaigns:

Email campaigns provide data like open rates, click rates, and bounce rates. Analyse this data to understand who is engaging with your emails and tailor future communications accordingly.

✅CRM Systems:

Offline data from CRM or POS systems can be a valuable source of first-party data. Centralise POS data and website data for comprehensive insights into customer behaviour and sales trends.

✅Customer Service Interactions:

Customer service interactions provide valuable insights on customer needs, priorities, and preferences. Use this data to refine customer profiles and improve marketing campaigns.

Shopify's recently revamped analytics tools provide up-to-the-minute data, helping brands make informed decisions with real-time insights. For more information on Shopify Analytics, check out this blog.

5 personalisation strategies to try

  1. Dynamic Content: Use customer data to display personalised content on your website. This could include product recommendations based on past purchases or tailored landing pages that reflect customer preferences.
  1. Email Marketing: Personalise email campaigns by segmenting your audience based on purchase history, browsing behaviour, and customer preferences. Send targeted messages that resonate with each segment, such as personalised product recommendations, special offers, and relevant content.

    Last year, cart abandonment sat at around 70%, causing eCommerce stores to lose an estimated $18 billion in sales revenue. First-party data can help bridge the gap and encourage consumers to re-engage with your offering. Use this data to send personalised cart reminders, follow-up emails, and special offers to win back customers.
  1. Campaign Targeting: A campaign that speaks to everyone, speaks to no one. Strike a balance by targeting Google or Meta campaigns to the right customers, without sacrificing their privacy. By using first-party data, you can identify relevant customers across multiple channels and devices.
  1. Product Recommendations: Implement AI-powered recommendation engines that analyse customer data to suggest products they are likely to be interested in. This can be done on product pages, during checkout, and in follow-up emails. A study published this year reported that when customers receive transparent ads based on their activity on a site, the product’s revenue grows by 38%.
  1. Omnichannel Experience: By integrating first-party data from all channels, you can track the customer's journey from initial interaction to purchase, whether they moved from a social media ad to your website or from browsing online to buying in-store. By understanding the customer journey, you can optimise for a friction-free experience.

By leveraging first-party data, eCommerce brands can create tailored shopping journeys that connect with customers. Implementing the personalisation strategies discussed in this blog will help set your brand apart from the competition. 

Want personalisation advice unique to your brand? Get in touch.

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