No-code and low-code tools are on the rise, with thousands of businesses and makers turning to a faster and cheaper way to test, validate, and build out their ideas. Leading the way, you have companies such as Zapier, Webflow, and Airtable transforming the way we work.
As the reliance on these tools continue to grow, so too does the opportunity for technical and non-technical marketers alike to gain an edge and advance their marketing skill set. Marketers and businesses who take advantage of no-code and low-code now will be in position to reap the rewards. Those who ignore the shift will be passed by.
So, as a marketer, what skills should you learn now to set yourself up for future success? For businesses, what’s the most effective way to approach building applications and software using no-code? We’ll take a look in this article.
I am the Web Experience Manager for Cisco in EMEAR, and I’ve been working on increasing our capabilities as a business when it comes to conversion optimization for the past three and a half years.
Here’s our story of bringing experimentation into a $51 billion company with 71,000 employees spread across 96 locations worldwide.
What worked in SEO, content, and growth just a few months ago may not be effective today. Making things even more challenging, there’s so much noise. Is that top-ranked content on Google actually the best thing out there? Or is it the same “me too” content?
We identified top marketers based on some good-but-imperfect criteria (e.g., mentions on marketing sites, social media presence, recent presentations, etc.).
Then, we used that expert seed list to gather opinions on which people, sites, and books all marketers should listen to, read, or watch.
After receiving a $500k budget increase, someone in the C-suite must decide where to allocate these funds: remarketing budget, R&D, events, website redesign, etc.
What should they do? Do they need more information to decide? Even with new information, will that clarify the percentage allocation of funds?
As consumer needs and technology become increasingly complex, so too do the decisions. Modeling is critical for complex decision-making. Relying on intuition alone can set you up for failure.
Nearly 75% of SaaS companies offer a free trial. Trials give potential customers a taste of life with your product at minimal risk. They also give you the opportunity to earn their business.
But while free trials are commonplace, how long should yours be? Should you require a credit card? How can you get more users to purchase?
Urchin, later acquired by Google, invented an amazing way of measuring campaign performance by using last non-direct click attribution and first-party cookies. The solution was perfect—for earlier times:
- People used mostly one device.
- Smartphones were rare.
- Advertisers avoided mobile apps and browsers because user experience was, at that time, horrible.
In most cases, the assumption that users converted on the same browser and the same device as their first site visit was fair.
In the big picture, “conversion optimization” boils down to getting more of the right people clicking on the things you want them to click.
Consumer shopping behaviors have changed dramatically since the onset of the coronavirus pandemic, with ecommerce retailers seeing unprecedented growth in traffic and sales.
While retail stores are slowly beginning to reopen, many consumers have made online shopping their new default. Some 71% of U.S. adults plan to do more than half of their holiday shopping digitally this year.
“Guest posting,” done right, isn’t a dirty word. I’ve used guest posting to build my brand and set up my own link-building agency.
But as the saying goes, there’s no such thing as an overnight success. Throughout my career, I’ve received hundreds of rejections on the journey to landing a few big wins.
While rejection comes with the territory, you can do a few things to improve your chances of success. In this article, I share some best practices for guest blog prospecting, putting together a winning pitch, and creating content that editors love to publish.
At a certain point, the results from your A/B testing will likely slow down. Even after dozens of small iterations, the needle just won’t move.
Reaching diminishing returns, is never fun. But what exactly does that mean? In most cases, you’re probably hit a local maximum.
So the question is, what do you do now?