The #2 edition of 8percent.
Your weekly growth and product upskill, in 8 minutes.
Here’s what we have for you this week.
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Growth
💻 Tools: Easy scraping and Easier editing.
🧠 Persuasion: Nudge people into the right option.
📰 Article: Blogging with AI, the Andrew Chen version.
🤖 Automation: Save and organize your attached files.
Product
💻 Tools: Free A/B testing tool.
🧠 Persuasion: Don’t lose the gain.
📰 Article: Don’t mess with A/B testing.
💰 My 2 cents: It’s the end of the world as we know it.
Growth.
Tools 👇
SimpleScraper → The easiest no-code scraper extension. (free)
Need to gather some data from a website?
Click on the extension, select the type of elements you need to scrape (titles, links, names, etc.), and voila, done.
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EditAnything → Change the appearance/copy of any website, in one click. (free)
You don’t need to go into the code of a page to change it anymore.
Just click on the extension, and you can change anything, anywhere.
Persuasion Technique 👇
We’ve all been to Starbucks or Costa, right?
When deciding between two options, introducing a third, less appealing choice (known as the decoy) can sway our view of the initial two options.
Decoys are "asymmetrically overshadowed": they're wholly outclassed by one choice (the target) but only somewhat by the other (the competitor).
It looks like this 👇
Article 👇
A lot of people talk about A.I. when it comes to writing/blogging:
How does Andrew Chen do it?
Introduction: He delves into the transformative impact of AI on the blogging process. He contrasts his traditional blogging methods with the new workflow influenced by AI, particularly ChatGPT.
Traditional Blogging: Chen's initial approach involved deriving ideas from conversations and jotting them down. Using the Email Me app, he'd send himself blog post titles, with writing typically reserved for weekends.
AI-Enhanced Blogging: With ChatGPT's introduction, Chen's blogging process witnessed a paradigm shift. The AI tool aids in crafting first drafts, serving as a springboard for further refinement. While initial drafts might lack depth, they provide a foundational structure. ChatGPT shines in brainstorming, outlining, and topic suggestions.
Practical Applications: Speaking ideas aloud and having AI transcribe and refine them has proven advantageous. ChatGPT's versatility extends to adjusting content tone and aligning it with desired styles.
Limitations & Future Prospects: Chen envisions ChatGPT with real-time data access and image generation capabilities. He anticipates integrations with social platforms, voice tone customizations, and processing extensive documents. Despite present constraints, AI tools like ChatGPT have revolutionized Chen's blogging approach.
The article is written by Andrew Chen, in his blog, which everyone should read. This is the link.
Automation 👇
Ever had someone saying: “I sent you the file 3 months ago!”.
Then you’ve spent 15 minutes finding the right email?
This Zap will help.
You can now find your files, organized.
This will also work with Teams, Slack, Outlook, etc.
Product.
Tool 👇
VWO → A/B testing and experience personnalisation. (free version)
Since it happened on the 30th of September, you should now be aware of the news: Google shut down Google Optimize.
We tested a lot of different tools and found the perfect solution to replace it: VWO
It’s free: The free version is limited but covers all Google Optimize features and more!
A/B testing features: Split URL testing, multivariate testing, visual editor, multi-page campaigns, traffic allocation
Other features: Funnel Analysis, Session Recordings, Heatmaps, Form Analytics
A lot of companies want to do A/B testing experiments. I can be powerful if it’s relevant (we’ll dig into that just below). But these types of tools offers also a great opportunity: building quickly tailored experiences for specific user segments.
Let me give you a simple example: you launch a paid campaign with three different creatives.
A central success point is a perfect symmetry between your Ad and the landing page: it increases the conversion rate.
So you have two choices:
Create three pages on your website: It takes resources from your tech team and be careful of duplicate content!
Use a tool like VWO: create a page, make three variations (you can do it yourself), and use your campaign’s UTM to allocate the traffic. The icing on the cake: accessible data from the tool on how people interact with each variation.
Persuasion Technique 👇
Why do a lot of SaaS companies offer a full free trial version?
When the trial ends, users are more likely to pay to avoid losing access.
Nobel prize-winning psychologists Daniel Kahneman and Amos Tversky, discovered that people would rather avoid losses than make gains.
Loss Aversion - “Loss aversion is the difference between the potential benefits of a specific behavior and the risks associated with that behavior. ” 🧠
Article 👇
13 A/B Testing Mistakes And How to Fix Them
Many companies are not utilizing A/B testing effectively. Worst, a lot of them don’t know it, so it leads to misinterpretations of the final results.
This article lists 13 main A/B testing errors and gives solutions to avoid them.
In my opinion, here are the five main common mistakes to begin with :
Thinking A/B tests are only for landing pages.
As the simple example, I’ve given you above, most people use A/B testing for Ads and landing pages. And it’s effective for that. But you can use it on user onboarding, feature adoption, pricing strategies, etc.
Fix: Take a holistic view of the user journey within your product, understand customer behavior, define hypotheses, and then A/B test your hypothesis.Running A/B tests without enough users.
Without a sufficient number of users, the test results are not statistically significant.Fix: first, use a sample size calculator like this one (which is a simplification; the original version is more complex). If your traffic doesn’t allow you to conduct A/B testing with a significative detectable effect, you can use surveys.
Choosing the wrong A/B testing hypothesis.
This happens if you don’t research enough and understand what to test.
Fix: Analyze user behavior data and have a clear goal.Testing too many hypotheses at the same time.
You don’t know how each change will impact the results. If you change too many things during the same test batch, you won’t be able to have a clear conclusion.
Fix: if you have enough users you can use multivariate testing. If you don’t, run separate tests over time.Failing to identify relevant experiments.
All pages on your product aren’t equal; focus on optimizing the high-value pages.
Fix: How do you identify the right pages to improve? Use the data from your analytic tool. Start by identifying the metrics you want to improve and what pages are connected to them.
The complete article is written by User Pilot on Medium. This is the link.
My 2 cents 👇
Is it the end of Product managers?
On the 21st of June Dylan Field, the CEO of Figma, interviewed Brian Chesky, the CEO of Airbnb during the Config conference in San Fransisco.
At some point, Brian announced, “We got rid of the classic product management function.” This caused an uproar!
Before jumping to a conclusion, let’s dig into what he said during this event.
They decided to
Change the organization from business units to functional units.
Reduce the number of ongoing initiatives.
Centralize roadmap decisions.
Releasing twice a year to users, 80% of what’s being done.
The most relevant part: combining product management and product marketing. So… Hello to Growth Product Managers.
But this can be applied to every company. If yours maintains a high frequency of releases, the most recommended thing is to separate the two functions so there is no overload.
For more context and clarity watch the full interview
We’ll see you next week.