Article URL: https://www.workatastartup.com/jobs/51266
Comments URL: https://news.ycombinator.com/item?id=40577315
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Article URL: https://www.workatastartup.com/jobs/51266
Comments URL: https://news.ycombinator.com/item?id=40577315
Points: 0
# Comments: 0
Listen in on the jokes only Bill’s audience got to hear.
See omnystudio.com/listener for privacy information.
The post Bonus Bill – Ep. #448 appeared first on Buy It At A Bargain – Deals And Reviews.
Commit | https://commit.dev/ | REMOTE (CANADA) | Full-Time | Senior Full-Stack Developers
We hire you directly into Commit AND
– Pay you to find the right startup from a pool of vetted opportunities
– Let you skip technical interviews
– Let you explore startups three months at a time until you find the perfect fit
Our Preferred Tech Stack
– FE: One/some of: Vue.js, React, Redux, Next
– BE: One/some of: Node.js, Go/Golang, Python/Django/Flask, Ruby/Rails, Java/Scala, Rust
Nice to Haves
– Understanding of DevOps: MongoDB, AWS, GCP, Docker, Kubernetes/Terraform, CI/CD
– Understanding of RESTful APIs and/or GraphQL
– Understanding of cloud-native distributed systems and micro services
– Experience with relational databases, NoSQL databases, cloud infrastructure, product design
So, if you’ve got tons of entrepreneurial spirit, and 5+ years of experience in software engineering, apply to Commit’s Engineering Partner Program here:
Enjin | Full-time | REMOTE
Changing the way games are built on blockchains. We are building a full-stack platform including a wallet, marketplace, and Efinity (our flagship Polkadot Parachain).
Full-stack Engineer (Laravel)
https://enjin.io/careers/full-stack-engineer
We’re also looking for passionate Product Managers & Scrum Masters to help us deliver cutting edge web3 technology faster, better, stronger, and more awesome:
https://enjin.io/careers/project-manager
QA and Code auditing positions also open:
https://enjin.io/careers/qa-engineer
Your audience wants personalized marketing from your business.
In fact, they expect it. According to research, 71 percent of customers expect businesses to send them personalized marketing messages, and 76 percent are disappointed when they receive generic communications instead.
The challenge? If you don’t know your audience, you can’t send them personalized content. You don’t know what matters to them, so you can’t reach them on the right level.
If this dilemma sounds familiar, don’t worry. I have a solution for you, and it’s called customer segmentation. Customer segmentation helps you understand your audience so you can target your marketing campaigns with greater precision. Let me show you how it works.
Customer segmentation means dividing customers into groups, or “segments,” based on traits they have in common such as age, buying habits, gender, and needs.
Businesses use customer segmentation models to better understand their prospects so they can target them with relevant personalized marketing campaigns including ads, emails, and social media posts.
Customer segmentation isn’t just about reaching a new audience more effectively, though. It’s also a way to reconnect with lapsed customers and encourage new purchases by sending them carefully targeted messages.
Remember, every customer is unique. They each have own buying behaviors and reasons for choosing you over your competitors. While it’s impossible to personalize your marketing to every individual, a customer segmentation strategy is the next best thing.
For one thing, it helps you improve your customer service. By understanding your customers’ needs and wants, you’re better placed to help solve their problems.
Does customer service matter? Absolutely. Research says one in five customers will abandon a brand after just one poor customer experience, so the more effort you invest in great service, the better.
Similarly, segmenting your audience helps build customer loyalty. How? Because customers are typically more loyal to brands offering personalized messaging—for 79 percent of consumers, the more personalization a company uses, the more loyal they are.
What do loyal and happy customers have in common? They’re more likely to shop with you. By personalizing the shopping experience through segmentation, you create more dedicated customers, so you increase conversions over time.
Not convinced? Well, studies show that over 60 percent of customers are likely to be repeat buyers after a personalized shopping experience, so the stats speak for themselves.
You can use various customer segmentation models, depending on your business needs and marketing goals. Here’s a look at seven of the most common models.
Demographic segmentation means dividing people into groups based on certain demographic factors, including age, income, marital status, and occupation.
Let’s say your audience is men and women aged between 30 and 65. You want to run a TikTok campaign to promote a new product.
If you only run a campaign on TikTok, you miss out on a huge chunk of your target audience. Perform some demographic segmentation, and you’ll know to target Facebook, too, since 73 percent of 50- to 64-year-olds use this platform.
Want to try it?
On the plus side, it’s easy to use this model, and it helps you adjust your tone to target different genders and ages.
The main downsides? You risk making false assumptions about a particular segment. You could also lose your brand voice by targeting such varied demographics.
Always use this customer segmentation model alongside other techniques. For example, it might be helpful to know a customer’s buying habits and values, or where they live.
With geographic segmentation, you categorize your audience based on where they work, live, and shop.
This type of customer segmentation analysis is fairly straightforward. The main disadvantage? Ironically, it’s simplicity. On its own, geographic segmentation doesn’t reveal much about your audience, but you can use it alongside other models on this list to build the fullest possible picture of your audience.
Here’s how to get started with geographical segmentation:
McDonald’s frequently uses geographic segmentation to target different audiences around the world. For example, here’s a burger found in McDonald’s India:
McDonald’s creates products to suit its diverse audience and tap into the flavors and products they may respond to based on geography.
This brings me to another advantage of geographic segmentation: exclusivity. Since the McDonald’s menu varies by location, each item feels exclusive, harder to acquire, and more valuable, which may increase conversions.
We each have unique personalities, but we share traits or characteristics. Psychographic segmentation means forming groups based on common traits such as hobbies, lifestyle choices, personality traits, cultural beliefs, and values.
Psychographic segmentation helps you understand a customer’s psyche so you can devise highly focused, relevant campaigns. However, the main challenge is gathering (and organizing) the relevant data.
Follow these steps to start using psychographic segmentation:
Patagonia, an outdoor clothing brand, knows its customers care about sustainable living. They’ve made sustainability a core part of their brand messaging:
If you ran a store like Patagonia, you could segment customers based on whether they prefer hiking or cycling and then send targeted campaigns to meet their needs while retaining this core brand message.
Technographic segmentation means categorizing people depending on the devices, hardware, and software they use. Why does this data matter? Well, according to statistics:
As a marketer, you should care about how people are accessing your content so you can optimize their user experience (UX) and target them effectively. Technographic segmentation can help.
There are a few ways to segment your audience using this method, but here’s how I suggest you start.
Armed with this data, you can create your campaigns.
Let’s say you run a tech store. Some customers use Norton 360 for PCs. Others use Avast Security for Mac.
You split your marketing campaign by software. You send one email to Norton subscribers offering a discount on their annual subscription. You send another email to Avast customers offering the same discount for Avast.
The result? Emails that speak to your audience’s specific tech needs, which increase your chance of making conversions.
You could take it further, too. Say, through analytics, you notice your Norton PC customers are looking at mobile antivirus solutions. You could send them a discount code like this one from PCWorld:
By anticipating what matters to your audience based on their tech preferences, you’re meeting their needs…and hopefully nurturing them through to checkout.
Is this a perfect customer segmentation model? No. One significant drawback is its limitations: Knowing a customer’s tech preferences is only one part of what shapes their buyer’s journey. However, it’s a marketing technique worth adding to your toolbox.
Want to know how your audience interacts with your business? Try behavioral segmentation.
Behavioral segmentation means grouping people together based on behavior patterns. These patterns reveal how consumers feel about your business so you can determine how to successfully reach them at every stage of the buyer’s journey.
As with other models, behavioral segmentation can be used at any point in your marketing strategy, whether it’s to revamp a landing page or send promotional emails.
First, identify the behavior patterns to track. There are many ways to approach this, but you might segment customers based on their:
For example, say you group customers based on engagement. What counts as an “active” and “lapsed” customer varies depending on your business, but here are three groups you might have:
Next, you can devise three separate marketing campaigns. You might send active customers a loyalty discount, and infrequent customers a separate discount to tempt them back.
Once your campaigns are up and running, track your analytics. If you’re not getting the results you want, adjust your campaigns and try again.
With over 221 million subscribers, Netflix knows how to use behavioral segmentation to satisfy customer demand.
Behavioral segmentation has a significant downside, though: There’s always the chance you get the algorithms wrong. That said, if you track results diligently and respond to your findings, you can offset this drawback.
Successful marketing often comes down to showing prospects how your goods or services meet their needs. That’s where needs-based segmentation comes in.
With needs-based segmentation, you’re grouping people based on what they need from your product. The benefits they’re looking for when they buy something. What pain points they have, and the problems they need solving.
The biggest challenge? Identifying what these needs are.
For example, say you’re a food brand. Two prospects follow you on social media. One cares about fresh chicken, and the other wants vegan food. You might sell meat and non-meat products, but the same ad campaign won’t appeal to both.
Driving down into groups’ needs and motivations helps you maximize your campaigns.
Let’s do a simple comparison. Heck sells gluten-free vegan and non-vegan meat. They know some customers love the gym and care about high-protein snacks, so they launched a campaign to sell their meat at local gyms:
They know other customers care less about fitness and more about a vegan lifestyle, so they frequently create social media posts around meat-free products:
Heck clearly spent time learning about its wider customer base and what drives them so it can effectively reach every segment while retaining a consistent brand voice.
Here’s another example. Beauty store Revolution lets customers shop by skin concern and by ingredient to directly target consumers’ needs:
Now that you understand how this customer segmentation model works, is it right for you?
Well, there are clear advantages. Needs-based segmentation helps you market with greater accuracy than, say, targeting groups by age or location. It’s comprehensive and effective, and it could help you build loyal customer relationships.
The main drawbacks? It’s challenging to identify the “right” needs to target, and if you don’t have accurate data, your campaigns may fail. What’s more, consumer needs evolve, so you’ll need to review your strategy regularly to maximize your campaign effectiveness.
Here’s the simplest approach.
Once you have enough data, use your findings to create segmented marketing campaigns. Track your campaigns and tweak them as needed.
The better you understand how much it costs to lose a certain client’s business, the better you can direct your marketing efforts. Value-based segmentation can help you by grouping customers together based on their value to your business.
Why group customers together this way? Well, there are two advantages.
Firstly, if you know which customers spend the most money on your products, then you know which customers you can’t afford to lose. You can direct resources into providing these customers with highly targeted campaigns and great customer service.
Secondly, you can identify your most loyal clients and how much it costs to retain their business. Once you know a customer’s relative value, you can decide if it’s worth retargeting these inactive customers with personalized messaging.
Is retention worth the effort, though? There’s evidence that it can be up to seven times more expensive to acquire rather than retain customers, so yes, retention matters.
Here’s how to segment your customers on a value basis.
On the plus side, value-based segmentation helps you quickly identify your most valuable customers in order to target them more effectively. However, if you’re a startup or young business, you may not have enough relevant data to use this customer model just yet.
Here’s an example of the basic value-based segmentation principles in action and how this method helps with retargeting and conversion.
Merkle, a marketing company, helped a global cruise company develop a value-based approach to their next marketing campaign.
The cruise company sent the same messages to every customer regardless of their lifetime value (LTV). To boost revenue, they wanted to segment customers based on their LTV to send tailored ads and emails.
The company broke down each customer’s total predicted economic value. Once they identified the highest-value and most loyal customers, they could better nurture them through the sales funnel with specific, smaller campaigns.
The results? Five percent of lapsed but loyal customers returned, and they shortened the purchase cycle by 24 percent. All it took was some focused, personalized messaging based on a customer’s relative value.
You need data to segment customers effectively, so you’ll want analytics tools such as Google Analytics. You might also use dedicated customer segmentation software, depending on your budget and business goals.
By segmenting your customers, you learn more about your target audience and what matters to them. The result is more effective marketing campaigns based on the unique needs of each segment within your broader audience base.
Segmentation works best on any channel when you’re using personalized ads aimed at certain people because you can run multiple smaller, highly targeted ad campaigns designed to deliver the right message to the right audiences.
Customer segmentation ensures your existing customers don’t feel overlooked. You can segment your loyal customers into smaller groups to deliver relevant, loyalty-based rewards that could help increase customer retention over time.
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If you’re trying to upgrade your marketing, customer segmentation is your friend. By segmenting your audience, you can learn what matters to your customers, run targeted, more effective campaigns, and ultimately convert more leads into customers over time.
Start by evaluating the customer segmentation models I’ve described and consider which combination works best for your business goals. If you need any guidance for choosing between customer segmentation types, though, check out my consulting services to discover how my team can help.
Have you created your customer segmentation strategy yet? Which model do you find works best?
Hey HN, I’m Gabriel, founder of Meticulous.
Our mission is to make the world’s code safe, performant and reliable. We’re starting with a tool to catch JavaScript regressions in web applications with zero-effort from developers.
How it works: Insert a single line of JavaScript onto your site, and we record thousands of real user sessions. We then replay these sessions on new code to automatically catch bugs before they hit production. You can watch a 60-second demo at meticulous.ai.
We are a London-based YC company. Our team previously worked at Dropbox, Opendoor and Google. We just raised $4m, and are backed by some of the best founders and technical leaders in Silicon Valley, including Guillermo Rauch (founder Vercel, author next.js), Jason Warner (CTO GitHub), Scott Belsky (CPO Adobe), Calvin French-Owen (founder Segment), Jared Friedman (YC partner and former CTO of Scribd) and a bunch of other incredible folks.
Catching JavaScript regressions is just the start. There is an entire category of products to build on top of replay. This ranges from automatic UI previews to revealing the performance impact of frontend code.
We want to change the way the world develops software, and influence software approaches for decades to come.
We are hiring an onsite founding engineer to join our team of two.
You will have autonomy in building out this technology, but here are a few problems you might work on:
– Build a distributed system to concurrently replay thousands of sessions, such that a developer gets a result in seconds.
– Speed up the replay of sessions in a way that retains determinism.
– Derive algorithms to detect sessions that cover differing code paths and edge cases, and ignore sessions that are too similar.
– Help build out a team of world-class, highly collaborative, software engineers.
As founding engineer, you get to shape the company, and build the culture and technology from the ground up.
What we look for:
In a sentence: Technically brilliant, delightful to work with, combined with a self-awareness and strong desire to improve.
We’re currently only looking to bring on folks with mid-to-senior level skill sets. You should have strong web fundamentals and a deep love for software engineering. Maybe you enjoy programming books like Clean Code, Designing Data Intensive Applications, Pragmatic Programmer etc. or enjoy hacking on interesting side projects. You value transparency and candid feedback, and are driven by a strong desire to become the best engineer you can be.
What you get:
Compensation: We want outrageously talented individuals. This means we offer commensurately outrageous equity grants. The equity grant will be 2% or greater (a 2% grant is $600k at last valuation) with employee-friendly terms (10 year exercise window on options). We pay £100k-£150k in base salary, along with top of line benefits and perks. You can read about our values here https://sumptuous-lungfish-609.notion.site/Meticulous-values…
Learning: You will be given the space and time to up-level yourself as an engineer in terms of conferences, reading, or whatever you think will be most valuable. We will also set you up with mentorship, if you desire it, from top engineering leaders (folks running 100-engineer organizations at the world’s leading tech companies).
If this sounds interesting, please reach out to me at gabe [at] meticulous [dot] ai with “HN” in the subject line and 2-3 sentences about what you find interesting about Meticulous and your resume/LinkedIn/GitHub.
Comments URL: https://news.ycombinator.com/item?id=30180269
Points: 1
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As one of the largest e-commerce platforms on the internet, Shopify offers budding (and established) entrepreneurs a platform to sell their wares and increase their reach. In fact, Shopify dominates nearly 20 percent of the e-commerce market share. That’s not all. With millions of active buyers on the platform, there is plenty of opportunity for …
The post How to Become a Shopify Partner first appeared on Online Web Store Site.
Article URL: https://jobs.lever.co/xix Comments URL: https://news.ycombinator.com/item?id=25275586 Points: 1 # Comments: 0 The post Xix.ai (YC W17) Is Hiring Engineers appeared first on ROI Credit Builders.
Symaps.io | Full stack | Paris, France | Full Time | Remote / On Site | Compensation based on profile |
Symaps.io is an application rank and score locations based on the environment : residents, surrounding businesses and infrastructure, footfall. Our data is incuding anonymized movements from 500+ million mobile devices in 180 countries, +100 million businesses, HD census in any country.
We just closed a 700K seed round and several clients contracts, and are urgently looking for passionate peoples to strengthen our team of 10 people (incl. 4 full time engineers).
Esp. we’re hiring 2 full stack engineers. Our stack : Python, React, Scikit-learn, Kubernetes, Elastic, PostgreSQL / PostGIS.
More details here :
https://50-partners.welcomekit.co/companies/symaps-io-1/jobs…
https://50-partners.welcomekit.co/companies/symaps-io-1/jobs…