Happy customers love to share their experience, but sometimes they need some encouragement to do so. The cool thing is, once they do, they become even more loyal to your brand.
So, at this stage of the Customer Value Journey, ask people to share their positive experience with your brand by writing a review or sharing a social media post.
Once you get to stage seven, the Customer Value Journey is going to get a whole lot easier for you. This stage is all about learning your customer’s experience, and building up your testimonial database.
The most important part of this step is asking these four questions.
What Was Your Life Like Before Finding Our Solutions? What Challenges Were You Facing That Caused You to Consider Us?
These questions are great not only because it gives you some really good stories, but because it gives you some insight on how you can provide similar prospects with that AHA moment. Understanding the average day of your clients is important in reflecting on your Customer Value Journey, and helps you understand what really set you apart from your competitors.
What Key Features Had the Biggest and/or Fastest Impact?
Not only is this going to get you to really specific stories, you will understand the specific things you provided that gave the biggest impact. The answers to these questions will not only give you great insight and testimonials, it will provide you with ideas for new lead magnets. This part is a new Entry Point Offer goldmine!
What Has Been the Impact or Results in Your Life or Business Since Using Our Product or Service?
This is a fairly broad question, and that’s why we put it after the others. You will have already gotten all of the specifics out of the way with #1 & #2. But when you ask this question, this is where you get the most valuable stories. You can use this part as testimonials, as an order form, as a sales page, this part is testimonial gold.
If You Were Asked to Justify this Purchase to Your Boss or a Friend, What Would You Say?
This is our favorite question by far. If you had to go back in time and justify this purchase, what would you say? I promise you what we’re going to find is a lot of great ideas for the jobs that your product or service has done. You’ll get a lot of great ideas for your core message canvas. This question is about backfilling all of the assets that you may not have. Here you’re going directly to the customer who are already happy, and using their justifications to help you sell to new customers.
Hopefully you now understand just how valuable the Advocate stage could be, as well as the key questions you need to ask to get your customers talking. Here’s how it works for our example companies.
When it comes to fashion we all love to show off our outfits. So a good example for Hazel & Hems would be to have customers write reviews for a discount code or points towards their next purchase.
Better yet, follow up with the customers to ask them to share and tag themselves wearing the items in a social media post and providing them with something valuable as a reward.
For Cyrus & Clark Media, hopping on zoom meetings or a streaming service for live talks about them and their business could generate valuable awareness for them, and a live case study for the agency. They can use the questions Ryan provided during this lesson to conduct the interview.
Although often underrated or reduced to a “networking platform,” LinkedIn has the potential to help you drive traffic to your website, increase brand awareness, and boost your revenue. How? Through LinkedIn sponsored updates or ads.
Salesforce has announced an integration between Salesforce Commerce Cloud and Google Merchant Center to help merchants highlight the availability of products in stores. The move builds on Salesforce data that suggests both the widespread use of online search in advance of brick and mortar store visits, and an increased likelihood of shopping trips when consumers can see that a store has an item in stock.
Using this new integration, merchants using Commerce Cloud will be able to turn local inventory data into local product listings on Google Search and Google Maps and in the Shopping tab.
Why we care. The distinction between digital and real-world commerce continues to collapse. Those online shopping behaviors that exploded during the pandemic will be with us for the foreseeable future, but it doesn’t mean store visits are a thing of the past.
Rather, consumers are looking for seamless connections between an online product discovery experience and in-person purchases. This integration seeks to support that aim at a granular local level.
The Salesforce data that supports the move can be found here.
Embedding commerce in discovery. The integration also braids together online discovery and the commerce experience. Just as many merchants now seek to provide a frictionless transition from finding a product online to making a digital purchase, this sees the opportunity to link discovery with in-person shopping.
This move pairs with the recent announcement of Salesforce’s Einstein GPT for Commerce that combines proprietary and generative AI models with real-time data such as customer demographic data and shopping history, to automate and tailor shopper recommendations in Commerce Cloud.
Kim Davis is the Editorial Director of MarTech. Born in London, but a New Yorker for over two decades, Kim started covering enterprise software ten years ago. His experience encompasses SaaS for the enterprise, digital- ad data-driven urban planning, and applications of SaaS, digital technology, and data in the marketing space.
He first wrote about marketing technology as editor of Haymarket’s The Hub, a dedicated marketing tech website, which subsequently became a channel on the established direct marketing brand DMN. Kim joined DMN proper in 2016, as a senior editor, becoming Executive Editor, then Editor-in-Chief a position he held until January 2020.
Prior to working in tech journalism, Kim was Associate Editor at a New York Times hyper-local news site, The Local: East Village, and has previously worked as an editor of an academic publication, and as a music journalist. He has written hundreds of New York restaurant reviews for a personal blog, and has been an occasional guest contributor to Eater.
82% of marketers believe that AI will be the future of marketing—in fact, many of them already believe AI writes better than a human (Capterra study).
Well, with ChatGPT flying past 100 million users in just two months…we’re living in the future.
AI is revolutionizing the way we work, think, and create.
I joined Content at Scale as the VP of Marketing this January in a bold move of ‘adapting or die’ for my career in content—one month in, what I’m seeing, learning, and facilitating for marketers and teams is blowing my mind. Let’s talk about it.
Reduce Content Overhead Costs and Frustrations by 5x-25x With the AIO Model
It’s now the Stone Age to sit at your computer and drum up 2,500 words for an SEO post from a blank slate.
Seriously.
When you can generate long-form SEO content (2,500 words or more) that’s fully original and well-written inside of five minutes or less, you’ll never want to go back.
On average, I’m seeing a 5-25x reduction in associated content creation costs (which is mind-boggling!), and a time savings of 5-10x. (My full-time writer at Content Hacker went from 7 hours per post to one hour per post after we adapted this model.)
Here’s the AIO model I’ve built out reflecting the difference of what you can do in your business and marketing by replacing the human blank-slate writing with AI blank-slate writing, based on hundreds upon hundreds of use cases from Content at Scale clients:
Artificial Intelligence as the baseline writer (replacing the human writer and blank slate)
The human writer as an optimizer of the AI baseline content
And—it’s working.
With the time and money savings, it’s an absolute no-brainer to switch to AI as the baseline.
The Human Process Involved In AIO
While we see AI perfectly capable of writing an entire 2,500 word blog from scratch, with a single keyword and one-sentence prompt:
We also see the need for the human optimization process pre-publish more necessary than ever.
Without your unique story (or client case studies/testimonials) woven in, the human touch of adding statistics, double-checking facts and cutting the fluff; AI-written content simply won’t stand out. It won’t set you apart in the content sea; it won’t drive customers and loyal fans in droves to your email list. So, the human touch is necessary.
My C.R.A.F.T. framework within AIO defines the steps writers should take to make the AI content more human and personalized once you take it from AI and get it ready to publish (from AI to O):
1. Cut the fluff
2. Review, edit, optimize
3. Add images, visuals, media
4. Fact-check
5. Trust-build with personal story, tone, links
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Humans are needed for the optimization side, and for that human touch that must be applied to the content AI generates. Content itself will never be a fully automated, 100% AI process; but AI can remove hours and hours of painstaking work from the content creation pipeline, which will save countless amounts of energy and dollars in the coming months and years when marketers adapt in full force.
Predictions About the Future of Content & AI
This year, Capterra surveyed almost 200 marketers using AI in their marketing. 82% of them said that the content written by AI was just as good if not better than human-generated content.
One of the first Generative AI experts in the world, Nina Schick (founder of Tamang Ventures, and creator of Substack project ‘The Era of Generative AI’), has told Yahoo Finance Live that she believes ChatGPT will completely revamp how digital content is created, and by 2025, software built with ChatGPT will enable us to reach 90% of all online content now being generated by AI. She said: “ChatGPT has really captured the public imagination in an extremely compelling way, but I think in a few months’ time, ChatGPT is just going to be seen as another tool powered by this new form of AI, known as generative AI,” she said.
Google Trends shows a HUGE jump in interest and traffic around the term “ChatGPT:”
Search traffic shows that the interest in AI is the highest it has ever been. The previous peak was in January 2012:
375 million jobs obsolete in the next ten years. In the next three years, it’s predicted that 120 million workers around the globe will need to be retrained and re-skilled for this new world.
Newer and better-paying jobs in AI will come on the scene, but they won’t replace the amount of jobs lost; so without retraining and reskilling, and learning how to adapt, average people will have difficulty finding new work.
Are You Ready to Join the Future?
I’m excited to see just how much AI will revolutionize human efficiency and optimization.
We’re in new times.
Are you ready to join the future of marketing and learn about all things AI?