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Don’t just meet customer expectations: the complete lowdown on exceeding them

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It’s not enough to meet customer expectations. Today’s successful businesses know they must anticipate their customers’ needs and surpass their expectations.

For example, one-third of businesses lost customers last year because they couldn’t keep up with their buyers’ changing expectations.

Let’s see how to avoid becoming that statistic and become a customer-centric organization that excels in delivering enjoyable customer experiences.

Key takeaways:

  • High customer expectations are a result of people becoming more stressed. Customers no longer prioritize loyalty to a business because there are more significant stressors in their lives.
  • The spoils go to the business that understands and delivers two things: making customers’ lives easier and making customers’ lives better.
  • To learn customer preferences, you can conduct A/B testing on your website or marketing campaigns.
  • Being proactive means anticipating customers’ requests. Find ways to be proactive in your business to save customers the work of making requests.
  • Regarding customer service, focus on reducing customer effort and meeting customers where they are (i.e., using the customer’s preferred communication channel).

Why you must do more than meet customer expectations

Before March 2020, a business could tout its product quality or unbeatable prices. In a post-COVID world, however, customer experience became the dominant factor that mattered to people. Why is that? 

We’re living in a time when people realize that life is short and objects don’t matter as much as experiences do. People became more stressed, and customers no longer prioritized loyalty to a business because there were more significant stressors in their lives. Customers simply wanted to do business with a company that improved their lives. 

So, what does that mean for companies now that we live in a world where customers have very high expectations? The spoils go to the business that understands and delivers two things: making customers’ lives easier and making customers’ lives better. If a company isn’t doing that, it may become irrelevant.

Here are four observable benefits of exceeding customer expectations:

  1. An increase in customer lifetime value
  2. Maintain a competitive advantage
  3. An increase in “word-of-mouth” advertising
  4. Boost in sales and profits

 

4 ways to exceed customer expectations

Here is the inside scoop on not only meeting but exceeding customer expectations.

1. Look at customer feedback

Look at existing customer feedback for your product or service. Better yet, read reviews on your competitors’ products. What can you learn? Are customers complaining about a product feature? Design and market your product based on customer feedback from competitors, solving particular pain points. 

Furthermore, ensure your product or service is of high quality so customers aren’t posting pain points regarding them. Customer opinion is particularly vital in the arena of online product reviews. A dip in product rating can have detrimental effects on revenue. Continual product or service assessment and improvement keep your offering at the highest caliber.

Next, discover your customers’ preferences. Learning this information can be as simple as posting a question on Facebook or Twitter. Here are some questions for the post:

  • What frustrates you the most about a type of product or service?
  • How do you feel a company can waste your time?
  • Where do you see yourself in a year?

The last question allows you to help customers get from where they are now to where they want to be.

Finally, you can conduct A/B testing on your website or marketing campaigns to learn customer preferences.

2. Personalization

Personalization means tailoring an experience (e.g., marketing message or product) to a specific individual. To achieve this, you must know your customer. Some data is readily available, such as:

  • Age
  • Gender
  • Location
  • Purchase history

It would help if you trended behaviors over time for other data, such as customers’ interests and ideals. Once you have that, you can create meaningful campaigns that provide substantial and personal value to your customer.

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3. Be proactive

Being proactive means anticipating customers’ requests. Think of what your customer needs before they do and offer it to them. How can you do that? 

Let’s take an example. Say your company is a printing service. You offer a range of products like cards, mugs, calendars, etc. One day you receive a request for 500 business cards. In this case, meeting customer expectations means filling the order and providing a seamless checkout experience. (Note that a seamless checkout experience does not exceed expectations.) Exceeding customer expectations could be:

  • Encouraging the user to create a login to gain loyalty rewards
  • Saving the payment information for an even faster checkout process in the future
  • Creating targeted emails with products featuring the user’s company logo obtained from the business card order
  • Using a push notification asking if the user needs to restock their supply

Find ways to be proactive in your business to save customers the work of making requests.

4. Deliver excellent customer service

Nowadays, customers are typically happy to have a self-service portal or chatbot for an expedient resolution to simple problems. Ensure you have these features available across your digital channels. When customers speak to a live agent, your sales and support agents should strive for the following:

  • Being knowledgeable about the product, service, or the issue
  • Resolving the problem within that single session (i.e., not needing to keep the case open for several days or longer)
  • Treating the customer with dignity and respect
  • Being a good listener
  • Demonstrating compassion and empathy
  • Using positive language

Also, know your customer’s preferred method of communication. For example, millennials may prefer using live chat, while older customers may prefer a phone call. If you’re not meeting customers on their preferred channel, your competitor will. 

Finally, consider analyzing your customer effort score as a barometer of your organization’s service performance with customers.

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Exceed, not just meet customer expectations with Optimizely

You must go beyond meeting customer expectations to expand your business. Optimizely’s Digital Experience Platform (DXP) helps you create exceptional user experiences at every digital touchpoint. Our personalization solutions build on real-time user data and insights to deliver content, campaigns and product recommendations that resonate with your customers. 

Contact Optimizely today to learn more about DXP.


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

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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!

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

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

Amazon pillows.

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A deeper dive into data, personalization and Copilots

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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.”

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