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Creating a Journey to Customer Satisfaction

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Creating a Journey to Customer Satisfaction

Today, consumers have an increasing number of options for how to interact with your brand. These include virtual channels like social media and influencer marketing.

While it’s great that technology has provided us with plenty of new methods and marketing tactics, it also means you need to up your game. As a result, customers are placing a higher value on the overall shopping experience than ever before. 

The way your brand presents itself at various touch points is a major factor in conversions. Customer journey optimization works to raise overall customer satisfaction (CSAT) and promotes growth in your business. 

What is customer journey optimization?

Optimizing the customer journey involves mapping out and analyzing every touchpoint in the buying process. You can then improve the buyer’s journey by eliminating friction at each of these.

Creating a Journey to Customer Satisfaction

This encompasses all available touchpoints, including digital advertising, content and social media marketing. Customer journey optimization improves processes behind the camera, so to speak, so your brand, team, and products can be the stars of the show. 

Benefits of customer journey optimization

When you optimize the customer journey, you stand to gain several benefits.

Save money

Mapping out the customer journey paints a clear picture of your current marketing and sales strategies. You can easily identify redundancies and remove these by analyzing them from an outside viewpoint. Long story short is that you’ll save money on operational costs and labor. 

For example, simple customer actions like order tracking might be better and more efficiently managed by a virtual receptionist, freeing your team up to work on tasks that are more obviously profitable, such as sales.  

Increase productivity

Customer journey optimization helps you cut out the fat. A well-trimmed buying process is much more efficient when it comes to how your team members’ time is used. By focusing their efforts on the most valuable touchpoints and prospect interactions, they’ll be able to generate more leads and conversions in less time. 

Part of this optimization might mean investing in software that gives the customer more control over their journey. For example, if you offer co-working spaces, you may wish to invest in coworking space management software that empowers users to book and pay for rooms without having to speak to a team member in person or over the phone. 

Better teamwork and collaboration

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The results of the 2021 Statista survey shown above found that inter-departmental siloing is the biggest challenge when optimizing the customer journey. This is where customer journey mapping rises to the challenge.

With a big-picture view, those working at the top of the funnel will better understand where their prospects are heading, meaning they’re more able to prepare them for their next interaction. Likewise, salespeople working in the middle of the funnel can give feedback on the quality of leads and help prospecting teams adjust their strategies accordingly. 

How does optimization increase customer satisfaction?

Many business benefits arise from customer journey optimization. 

Reduces Friction

Customers may encounter friction at every step of their journey. We’re not talking about Newtonian physics that explain how your car grips a road; we’re talking about obstacles to conversion that are built into your buying processes.

Customer friction is something you must overcome for the consumer to take the next step. Common causes include:

  • Lack of empowerment. Do customers have their preferred channels available to them e.g. live chat and self-service options?
  • Unreasonable/uncertain duration. Are wait times reasonable, and are they communicated to the customer?
  • Lack of identity. Is the customer known and recognized at each touchpoint, or do they have to repeat themselves along the way?
  • Lack of transparency. Do customers know what step they’re at in the process?
  • Lack of consistency. Does each interaction fit with your brand and provide a positive overall experience?

Let’s take friction caused by duration as an example. You could utilize a service that enables call forwarding or queue callbacks to help lower customer wait times. This would optimize the buyer journey and make it less arduous for the customer. 

1683257077 697 Creating a Journey to Customer Satisfaction

An often overlooked tactic is to focus on the obstacle causing the friction rather than the nudge itself. For example, you can make conversions easier so your prospects can sprint their way down the sales funnel.

In the early part of the journey, this might include optimization by way of marketing and communication channels. If your target audience is Gen Z and Millenials, for example, forgo traditional channels and build brand awareness on the social media platforms they use instead. 

There are many eCommerce marketing strategies that can help you optimize interactions and reduce friction.

Focuses on pain points

An optimized customer journey gives consumers a more streamlined experience. Rather than being distracted by unnecessary steps, it ensures just the right amount of interactions and information. 

This type of focused effort from your sales and marketing team means you can spend more time singing the benefits of your products or services. More importantly, it ensures each experience focuses on the specific pain points of your buyer personas. 

Personalizes the customer experience

Part of the optimization process is building customary journey maps that achieve a high level of success. Each one should focus on a different buyer persona. These custom journeys are just one way that optimization personalizes the customer experience (CX).

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Building interactions for each segment’s preferred channels increases customer satisfaction. You can also use CRM solutions, customer journey management platforms, and marketing automation to hyper-personalize every interaction. This might range from having live agents and chatbots with access to customer account information to suggesting products your buyers will be interested in. 

How to optimize the customer journey map

1. Define your business goals

Optimizing the customer journey can help you achieve various objectives, but it’s best to set your sights on a few specific goals for your business. This will help to guide you.

The following are some examples of business goals:

  • To stamp out weaknesses or redundancies in the customer journey
  • To gain more insight through increased customer feedback
  • To increase conversions at bottlenecks in the sales funnel

2. Define your buyer personas

Buyer personas help you segment your audience according to their attitudes, values, behaviors, and demographic information. The first step is to identify your best buyers and your least valuable customer types.

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When building your customer avatars, you should find common factors or indicators to help with optimizing customer journeys and areas like lead qualification. 

3. Pick your target personas

To get started, pick the buyer persona that most closely fits your business goals. If this is your first time refreshing the customer journey, you’ll likely want to focus on the personas that represent the best lifetime value. 

4. Start drafting a customer journey map

Now you have a better understanding of who your customers are, it’s time to start visualizing the purchasing journey. You need to map out every customer touchpoint or interaction from beginning to end. 

This includes every channel that’s used to create brand awareness, from Instagram and Facebook marketing to email newsletters and word-of-mouth referrals. It also includes third-party channels like affiliate marketing and other partner programs.

From here, you can start optimizing and connecting actions to build a customer journey that’s robust and efficient. 

5. Start optimizing

With a rough draft of the customer journey in place, you can begin to make alterations and improvements. Eliminate redundant or friction-building interactions, and map out pathways that allow for a seamless transition from one touchpoint to another. Ensure these make sense for the buyer persona involved. 

For instance, when nudging Gen Zers from the brand awareness to the subscription stage, you could focus on social media only. This means eliminating CTAs that involve newsletter subscriptions or inbound calling campaigns for this particular journey. 

6. Use the right tools

By now, you should have a close to ideal journey for each buyer persona. These are optimized when friction is reduced and your team is set up for success. The only problem is that nothing is ideal.

No matter how much you prepare, there will always be room for improvement, so you’ll need to arm yourself with the best tools for the job. Customer relationship management software is crucial. Other marketing tools can also help you automate and track each customer’s journey.

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While you’re at it, don’t forget about the wealth of digital marketing resources available online. 

7. Optimize, rinse, and repeat

Completing your optimized customer journey map is only the beginning. You’ll need to take this process and repeat it for each business goal and buyer persona. Of course, you can use existing maps as templates for building new customer journeys.

Using marketing tools, you should be able to track the success of your freshly optimized touchpoints and overall conversion rates. Use analytics tools and trusty A/B testing to hone in on what’s working and what isn’t. 

Continue the process ad infinitum and reap the rewards of providing a seamless, frictionless customer experience. 

Optimize the customer journey today!

Businesses like yours desire their operations to run as smoothly as possible. Your customers will hold you to these same standards during the buying cycle. Now, at least, you should have the tools and team to identify what your customers want. 

This is the time to map out and optimize your customer journeys. That is, unless you’d rather wait around while they flock to competitors that offer a painless purchase process. Why not start improving your customer satisfaction levels today?


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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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