It’s that time of year again – the holiday excitement has faded as we fall back into the workweek. With a year’s worth of work stretched in front of us, there can be both a sense of opportunity and overwhelmedness.
Because transitioning back into the swing of things can be daunting, We’ve gathered key takeaways from the previous year, global Opticon Tour, and how we can successfully apply those learnings in 2023.
1.“Work about work” is holding teams back. Take this chance to declutter.
Consider the reality of what most digital teams are up against. When it comes to managing the content lifecycle, draft documents that are stored in separate places and disparate tools that don’t work together are the norm for many. With no centralized point of communication and cumbersome workflows, it can take forever for teams to create and approve content, and work is often duplicated or unused.
After work is completed, it can be easy to dismiss the headaches caused by inefficient, siloed workflows and processes. But the long-term effects of inefficient and bulky collaboration can be detrimental to a brand’s digital experience – and bottom line. (Those who joined us in San Diego at Opticon might recall this concept played out via ).
Digital teams with unwieldy content lifecycles can take back control using ,saving countless hours and frustration over the year.
2. Change is constant. Set your team up to be adaptive.
We all know how difficult it is to create amazing customer experiences these days. The world is moving faster than ever, and change is constant and chaotic with uncertainty on nearly every level: economic upheaval, rapid cultural change, ever-escalating customer expectations (thanks, Amazon), and a tight talent market.
To not only stay the course but to also grow in this unpredictable environment, it’s important that teams constantly stay on the lookout for new ways to drive more sales and increase loyalty. In other words, consistently deliver modern, relevant, and personalized commerce experiences.
3. Data fuels a great customer experience. Test and optimize every touchpoint.
As practitioners, we all know that the best customer experience wins.
When teams don’t clearly understand what’s happening and when, they miss the mark. With little patience and high expectations, today’s customers will simply switch to a competiteller that better understands them and provides a more personalized experience.
But when teams work together to inject data across silos, they have the insight needed to make the right decisions and create with confidence.
For instance, take the marketing team: with access to a slew of customer touchpoints and experimentation data, marketers should be a critical resource for understanding customers’ wants and needs. Developers, product teams, and beyond should utilize this data to remove the guesswork and inform strategies, priorities, roadmaps, and decisions.
With customer-centricity at the heart of any great digital experience, the best experiences are fueled by data uncovered by high-velocity experimentation. Consider the power that Optimizely’s Experimentation products can have on your entire team’s ability to unlock personalized insights and better connect with customers.
Hopefully, your new year is off to a great start – but if you’re feeling a little off track, contact Optimizely today to learn more about our DXP can impact your business and set you up for a successful and productive year.
A special thanks to our sponsors at Opticon London – Microsoft, Google Cloud, Valtech, and Siteimprove – and Opticon Stockholm – Microsoft, Google Cloud, Valtech, and Contentsquare.
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.
Varför vi bryr oss. 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 är redaktionschef för MarTech. Född i London, men en New Yorker i över två decennier, började Kim täcka företagsprogramvara för tio år sedan. Hans erfarenhet omfattar SaaS för företaget, digital-annons-datadriven stadsplanering och tillämpningar av SaaS, digital teknik och data i marknadsföringsområdet.
Han skrev först om marknadsföringsteknologi som redaktör för Haymarkets The Hub, en dedikerad marknadsföringsteknologiwebbplats, som sedan blev en kanal på det etablerade direktmarknadsföringsmärket DMN. Kim började på DMN proper 2016, som senior redaktör, och blev Executive Editor, sedan chefredaktör en position som han hade till januari 2020.
Innan han arbetade med teknisk journalistik var Kim Associate Editor på en hyperlokal nyhetssajt i New York Times, The Local: East Village, och har tidigare arbetat som redaktör för en akademisk publikation och som musikjournalist. Han har skrivit hundratals New York restaurangrecensioner för en personlig blogg och har varit en och annan gästbidragsgivare till 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.
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
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-publicera 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
5. Trust-build with personal story, tone, links
Vill du bli certifierad inom Content Marketing?
Utnyttja verktygen och kanalerna för att på ett förutsägbart och lönsamt sätt driva medvetenhet, potentiella kunder, försäljning och hänvisningar – ALLT du behöver veta för att bli en sann mästare inom digital marknadsföring. Klicka här
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?