Connect with us

MARKETING

How luxury brands can elevate their ecommerce experiences

Published

on

How luxury brands can elevate their ecommerce experiences



When flying first class, you’re on the same plane as everyone else, but the individual experience is vastly different. From more leg room to attentive service, this experience is everything. Experience ensures your customers can see and feel the value when they decide to spend the extra investment with you.

Similarly, the luxury retail environment is defined by its attentive store staff, VIP treatment, exclusive vibe and highly personalized experience.

Bespoke product recommendations and personal engagement give the buyer confidence in their purchase at such a high price point and offer a high-end, enjoyable experience. For many luxury customers, an in-person visit to a luxury store is a special treat they enjoy and look forward to, and the retail experience is as important as the items themselves.

Pivoting to digital

In the last few years, brands have had to move away from the traditional brick and mortar experience of in-store sales, pivoting to online retail as their customers spent less time on the high street, with 17,219 chain stores closing in Britain in 2021.

However, with a strong wariness of ecommerce as ‘inherently antiluxury’, luxury goods made no rush to move into the world of online retail – the sector had no ambition to be like Amazon’s ‘everything store’ or even a high-end department store with a one-click and buy experience.

In 2018, only 10% of luxury purchases were made online. While this was up 4% from 2017, pre-pandemic spending habits meant luxury retail was primarily focused on in-person experiences, with their online offerings often acting as an “aspirational showcase” rather than a purchasing opportunity.

Leveraging ecommerce for luxury products

But today’s intelligent tech is now able to adapt online experiences to individuals, providing personalization akin to a personal shopper in stores in the world of luxury ecommerce. The ability to make an experience all about polished fashion relevant to the individual, using customer data, means that luxury and ecommerce can now go together like Beyoncé and Balmain at Coachella in 2018. Spearheaded by some of the most exclusive brands, the time has come for luxury retail to step onto the ecommerce runway.

So, how can the ecommerce experience mirror the luxury retail experience?

1. Provide a seamless UX/UI experience

Many luxury ecommerce sites end up with a poor user experience, as they’re more focused on setting themselves apart from normal retailers. When it comes to UX, luxury sites are defined by difficulty finding items, limited photos or product details, and confusing terminology, leaving customers feeling confused and resulting in an industry average bounce rate of 46%. The balance must be found between conveying exclusivity while avoiding a frustrating user experience.

It doesn’t need to be a choice between a luxury experience or good usability. Luxury brands switching to ecommerce need to make sure their digital customer service is as impeccable as their in-person experience. The key to providing a seamless, premium experience lies in focusing on excellent UX and UI principles.

2. A flawless web design that matches your products

Many luxury brands view their items as works of art, and this must be reflected in the ecommerce sphere. The decision-making process for luxury purchases is highly emotional, and requires product details that spark interest, balancing visual design with other priorities. A beautiful, clear design conveys quality and exclusivity while also providing a frictionless user experience.

Known as a market leader in balancing visual design and usability, Rolex’s digital experience reflects its watches. Its online presence boasts minimalist visual design and large, clear photography, while keeping content easy to scan and understand.

3. Avoid last season’s technology

One way of retaining the personal touch in the world of ecommerce is by harnessing the potential of developments in the metaverse and augmented reality. Gucci’s iOS app has an AR try-on feature for accessories and makeup and luxury brand Neiman Marcus has developed a mobile app, where personal shoppers can advise customers on what to buy.

Other brands have digital salespeople who can answer customer questions aided by a live camera, which can zoom in and display different angles as they point out product features. By moving those relationships online, luxury businesses have focused on new sales channels such as WhatsApp and Zoom – and WeChat in China – to offer more personalized transactions and meaningful interactions.

Some brands are doing this particularly well – Chanel with ‘Reincarnation’ and Armani with its ‘Tweet Talks’ where it acts as host for conversations on relevant topics.

Harnessing this technology preserves the hard-won personal relationships luxury brands have always had with their high-net worth customers and can allow them to reach more customers unrestricted by geographical considerations.

4. Use personalization and data to curate online experiences like a well-tailored suit

The real opportunity for luxury brands in the world of ecommerce is to use personalization and data to reinforce those personal relationships with their customers. In real life, highly trained staff members remember details about shoppers and their past purchases. In the world of ecommerce, the brand has arguably much more insight into the right product recommendations and therefore, the best upselling strategies.

Personalization also offers the consumer quick access to relevant special events, styling suggestions or help with product repairs. Harnessing tools such as Contentsquare or Optimizely allow these brands to effectively use all the data available to them, to improve results, identify customers, test content and identify why potential purchasers drop off. By understanding the benefit of customer data, brands can improve the digital experience they offer and drive higher sales and better engagement.

This is the luxury industry’s opportunity to explore, using insights gleaned from online user behavior to enhance customer-salesperson relationships, not replace them – offering an online journey that matches the very best in-store purchasing experience.

Unsure where to begin?

If you’re ready to craft a luxury ecommerce offering for your customers, sign up for a free optimization workshop where we’ll help you rapidly identify quick wins to help improve the luxury experience of your digital product.


Source link

Keep an eye on what we are doing
Be the first to get latest updates and exclusive content straight to your email inbox.
We promise not to spam you. You can unsubscribe at any time.
Invalid email address

MARKETING

YouTube Ad Specs, Sizes, and Examples [2024 Update]

Published

on

YouTube Ad Specs, Sizes, and Examples

Introduction

With billions of users each month, YouTube is the world’s second largest search engine and top website for video content. This makes it a great place for advertising. To succeed, advertisers need to follow the correct YouTube ad specifications. These rules help your ad reach more viewers, increasing the chance of gaining new customers and boosting brand awareness.

Types of YouTube Ads

Video Ads

  • Description: These play before, during, or after a YouTube video on computers or mobile devices.
  • Types:
    • In-stream ads: Can be skippable or non-skippable.
    • Bumper ads: Non-skippable, short ads that play before, during, or after a video.

Display Ads

  • Description: These appear in different spots on YouTube and usually use text or static images.
  • Note: YouTube does not support display image ads directly on its app, but these can be targeted to YouTube.com through Google Display Network (GDN).

Companion Banners

  • Description: Appears to the right of the YouTube player on desktop.
  • Requirement: Must be purchased alongside In-stream ads, Bumper ads, or In-feed ads.

In-feed Ads

  • Description: Resemble videos with images, headlines, and text. They link to a public or unlisted YouTube video.

Outstream Ads

  • Description: Mobile-only video ads that play outside of YouTube, on websites and apps within the Google video partner network.

Masthead Ads

  • Description: Premium, high-visibility banner ads displayed at the top of the YouTube homepage for both desktop and mobile users.

YouTube Ad Specs by Type

Skippable In-stream Video Ads

  • Placement: Before, during, or after a YouTube video.
  • Resolution:
    • Horizontal: 1920 x 1080px
    • Vertical: 1080 x 1920px
    • Square: 1080 x 1080px
  • Aspect Ratio:
    • Horizontal: 16:9
    • Vertical: 9:16
    • Square: 1:1
  • Length:
    • Awareness: 15-20 seconds
    • Consideration: 2-3 minutes
    • Action: 15-20 seconds

Non-skippable In-stream Video Ads

  • Description: Must be watched completely before the main video.
  • Length: 15 seconds (or 20 seconds in certain markets).
  • Resolution:
    • Horizontal: 1920 x 1080px
    • Vertical: 1080 x 1920px
    • Square: 1080 x 1080px
  • Aspect Ratio:
    • Horizontal: 16:9
    • Vertical: 9:16
    • Square: 1:1

Bumper Ads

  • Length: Maximum 6 seconds.
  • File Format: MP4, Quicktime, AVI, ASF, Windows Media, or MPEG.
  • Resolution:
    • Horizontal: 640 x 360px
    • Vertical: 480 x 360px

In-feed Ads

  • Description: Show alongside YouTube content, like search results or the Home feed.
  • Resolution:
    • Horizontal: 1920 x 1080px
    • Vertical: 1080 x 1920px
    • Square: 1080 x 1080px
  • Aspect Ratio:
    • Horizontal: 16:9
    • Square: 1:1
  • Length:
    • Awareness: 15-20 seconds
    • Consideration: 2-3 minutes
  • Headline/Description:
    • Headline: Up to 2 lines, 40 characters per line
    • Description: Up to 2 lines, 35 characters per line

Display Ads

  • Description: Static images or animated media that appear on YouTube next to video suggestions, in search results, or on the homepage.
  • Image Size: 300×60 pixels.
  • File Type: GIF, JPG, PNG.
  • File Size: Max 150KB.
  • Max Animation Length: 30 seconds.

Outstream Ads

  • Description: Mobile-only video ads that appear on websites and apps within the Google video partner network, not on YouTube itself.
  • Logo Specs:
    • Square: 1:1 (200 x 200px).
    • File Type: JPG, GIF, PNG.
    • Max Size: 200KB.

Masthead Ads

  • Description: High-visibility ads at the top of the YouTube homepage.
  • Resolution: 1920 x 1080 or higher.
  • File Type: JPG or PNG (without transparency).

Conclusion

YouTube offers a variety of ad formats to reach audiences effectively in 2024. Whether you want to build brand awareness, drive conversions, or target specific demographics, YouTube provides a dynamic platform for your advertising needs. Always follow Google’s advertising policies and the technical ad specs to ensure your ads perform their best. Ready to start using YouTube ads? Contact us today to get started!

Keep an eye on what we are doing
Be the first to get latest updates and exclusive content straight to your email inbox.
We promise not to spam you. You can unsubscribe at any time.
Invalid email address
Continue Reading

MARKETING

Why We Are Always ‘Clicking to Buy’, According to Psychologists

Published

on

Why We Are Always 'Clicking to Buy', According to Psychologists

Amazon pillows.

(more…)

Keep an eye on what we are doing
Be the first to get latest updates and exclusive content straight to your email inbox.
We promise not to spam you. You can unsubscribe at any time.
Invalid email address
Continue Reading

MARKETING

A deeper dive into data, personalization and Copilots

Published

on

A deeper dive into data, personalization and Copilots

Salesforce launched a collection of new, generative AI-related products at Connections in Chicago this week. They included new Einstein Copilots for marketers and merchants and Einstein Personalization.

To better understand, not only the potential impact of the new products, but the evolving Salesforce architecture, we sat down with Bobby Jania, CMO, Marketing Cloud.

Dig deeper: Salesforce piles on the Einstein Copilots

Salesforce’s evolving architecture

It’s hard to deny that Salesforce likes coming up with new names for platforms and products (what happened to Customer 360?) and this can sometimes make the observer wonder if something is brand new, or old but with a brand new name. In particular, what exactly is Einstein 1 and how is it related to Salesforce Data Cloud?

“Data Cloud is built on the Einstein 1 platform,” Jania explained. “The Einstein 1 platform is our entire Salesforce platform and that includes products like Sales Cloud, Service Cloud — that it includes the original idea of Salesforce not just being in the cloud, but being multi-tenancy.”

Data Cloud — not an acquisition, of course — was built natively on that platform. It was the first product built on Hyperforce, Salesforce’s new cloud infrastructure architecture. “Since Data Cloud was on what we now call the Einstein 1 platform from Day One, it has always natively connected to, and been able to read anything in Sales Cloud, Service Cloud [and so on]. On top of that, we can now bring in, not only structured but unstructured data.”

That’s a significant progression from the position, several years ago, when Salesforce had stitched together a platform around various acquisitions (ExactTarget, for example) that didn’t necessarily talk to each other.

“At times, what we would do is have a kind of behind-the-scenes flow where data from one product could be moved into another product,” said Jania, “but in many of those cases the data would then be in both, whereas now the data is in Data Cloud. Tableau will run natively off Data Cloud; Commerce Cloud, Service Cloud, Marketing Cloud — they’re all going to the same operational customer profile.” They’re not copying the data from Data Cloud, Jania confirmed.

Another thing to know is tit’s possible for Salesforce customers to import their own datasets into Data Cloud. “We wanted to create a federated data model,” said Jania. “If you’re using Snowflake, for example, we more or less virtually sit on your data lake. The value we add is that we will look at all your data and help you form these operational customer profiles.”

Let’s learn more about Einstein Copilot

“Copilot means that I have an assistant with me in the tool where I need to be working that contextually knows what I am trying to do and helps me at every step of the process,” Jania said.

For marketers, this might begin with a campaign brief developed with Copilot’s assistance, the identification of an audience based on the brief, and then the development of email or other content. “What’s really cool is the idea of Einstein Studio where our customers will create actions [for Copilot] that we hadn’t even thought about.”

Here’s a key insight (back to nomenclature). We reported on Copilot for markets, Copilot for merchants, Copilot for shoppers. It turns out, however, that there is just one Copilot, Einstein Copilot, and these are use cases. “There’s just one Copilot, we just add these for a little clarity; we’re going to talk about marketing use cases, about shoppers’ use cases. These are actions for the marketing use cases we built out of the box; you can build your own.”

It’s surely going to take a little time for marketers to learn to work easily with Copilot. “There’s always time for adoption,” Jania agreed. “What is directly connected with this is, this is my ninth Connections and this one has the most hands-on training that I’ve seen since 2014 — and a lot of that is getting people using Data Cloud, using these tools rather than just being given a demo.”

What’s new about Einstein Personalization

Salesforce Einstein has been around since 2016 and many of the use cases seem to have involved personalization in various forms. What’s new?

“Einstein Personalization is a real-time decision engine and it’s going to choose next-best-action, next-best-offer. What is new is that it’s a service now that runs natively on top of Data Cloud.” A lot of real-time decision engines need their own set of data that might actually be a subset of data. “Einstein Personalization is going to look holistically at a customer and recommend a next-best-action that could be natively surfaced in Service Cloud, Sales Cloud or Marketing Cloud.”

Finally, trust

One feature of the presentations at Connections was the reassurance that, although public LLMs like ChatGPT could be selected for application to customer data, none of that data would be retained by the LLMs. Is this just a matter of written agreements? No, not just that, said Jania.

“In the Einstein Trust Layer, all of the data, when it connects to an LLM, runs through our gateway. If there was a prompt that had personally identifiable information — a credit card number, an email address — at a mimum, all that is stripped out. The LLMs do not store the output; we store the output for auditing back in Salesforce. Any output that comes back through our gateway is logged in our system; it runs through a toxicity model; and only at the end do we put PII data back into the answer. There are real pieces beyond a handshake that this data is safe.”

Source link

Keep an eye on what we are doing
Be the first to get latest updates and exclusive content straight to your email inbox.
We promise not to spam you. You can unsubscribe at any time.
Invalid email address
Continue Reading

Trending