Grow your revenue through investing in ongoing conversion optimization
You have a product to sell. You are already selling quite a lot. But you know you could be selling more. Much more. But you don't have enough time, resources, or focus to do it.
You know you should improve your conversion rates, you know you should be doing A/B tests. But something always comes up and you keep putting it off.
Nextommerce Partnership is your partner in making it happen. A partner in improving your conversion rates, in optimizing your funnels, in making your emails more effective. In growing your revenue.
It is a strategy tried and tested on companies like Amazon, on single-product sites on Shopify, and on everything in between. If you have a good product (that's a must), we can help you sell more of it.
How it works
Here's how the basis of the process looks. The proven process we have used for Fortune 100 companies and the one that we will use to grow your business.
It's a foundation. We know this works. And we will make it work for you too. The rest depends on your product, your customers, your current level of optimization.
Analytics and setup assessment
First, we need to make sure everything is being tracked. You can't improve what you don't measure.
We will install all the necessary tools and will configure the existing ones. We will set up your analytics properly, add conversion goals, set up heatmaps, scroll maps, click maps, session recordings.
After that, we will run a thorough analytics assessment. This will tell us "where." Where to start looking for improvements. Once we know "where" we can start asking "why." For that we have research.
By far the most critical part of the whole process. And also the one most often ignored or treated superficially.
There are two types of research: quantitative and qualitative. Both are important. Both tell the same story, but differently. Both work best when combined.
Quantitative research is whatever you can measure. It will show you trends and averages.
Your analytics, your click maps, heatmaps, survey scores, conversion rate trends.
Qualitative research is at a single-person level. It will show you how individual people interact with your website, what they think about your product, what they love, and what they are frustrated with.
Customer interviews, user testing sessions, user surveys where they give you answers in their own words, chat transcripts, customer service emails.
It's a fine balance between the qualitative and quantitative. If you focus on one and not the other, you will miss a big part of the picture, and you will leave money on the table.
Generating and prioritizing testing roadmap
Once we know "where" and "why," let's fix it. Knowing what needs to be fixed, and having the experience of hundreds of tests we have run in the past, we will create a list of hypotheses to test. It could be anything from a seemingly simple headline test to a complete overhaul of your funnel.
Together, we will evaluate the effort needed to implement the changes, along with a likelihood of success. This will give us the prioritized list of tests.
A/B testing gives us a clear answer. Either something is better than before, or it is not. Either it is making you more money, or not.
To get clear answers, the testing process should be scientifically sound. You will have to agree not to step tests too soon "because you feel it's winning or losing." We will have strict rules for how many visitors each test will need, and how long it will need to run. One week is an absolute minimum. Usually 2-4 weeks for each test. It also depends on your level of traffic.
The test has concluded. The goal of each test is to "win," that is to produce better results than previously.
If that's the case, perfect. We analyze the results, calculate the improvement, see how much more revenue it will be generating moving forward.
Not all the tests win, though. That's the nature of the tests. If all of them were winning, we would be calling them tests. We would be calling them implementation.
When a test doesn't produce a positive impact, it gives us a valuable info. It tells us that either our hypothesis was wrong, or it was not implemented in a way to address the issue we have uncovered. Either way, it shows a direction. It answers a question. And it influences the follow-up tests. Each consecutive test will be better-informed thanks to all the previous tests, winning or not.
Go to Step 2
Testing is a continuous process. It's not a one-time magic remedy. Each test gives us answers. Each test sets a new benchmark.
There's a perfect quote from a creator of a Deep Learning framework. It wasn't about testing or conversion optimization. Or at least it wasn't meant to be. It was an answer as to why his framework was winning an exceptionally large portion of all deep learning competitions. Here's what he said:
In machine learning competitions (same for business), those who win are rarely those who had the best idea from the start, and simply implemented it, submitted their results and forgot about it.
Developing good models requires iterating many times on your initial ideas, up until the deadline; you can always improve your models further.
You don’t lose to people who are smarter than you, you lose to people who have iterated through more experiments than you did, refining their models a little bit each time.
This is why Nextommerce Partnership is an ongoing involvement. It's called a partnership for a reason. To achieve this kind of results, we need time and iterations. This is why it's a 3-month minimum involvement, with month-to-month afterward.
With a Partnership level involvement, here are some of the results we were able to achieve
For a company selling shoes in e-commerce industry we have increased revenue by 520%
For a Fortune 500 company in media industry we have increased subscription rate by 35%
For a comparison website in car rental industry we have increased booking rate by 65%
For a web security company in SaaS industry we have increased conversion rates by 25%
For a tour operator company in travel industry we have increased conversion rates by 35%
For a trading platform in Forex industry we have increased lifetime customer value by 42%
For a mobile dev company in a app utility industry we have increased conversion rates by 15%
For a cosmetics company in e-commerce industry we have increased revenue by 150%
For a comparison website in air travel industry we have increased conversion rates by 43%
Is this for you?
It may sound like a fake scarcity technique, but it's not. We don't work with everyone.
If we don't think we can deliver outstanding results for you, or grow your revenue significantly, we will tell you so up front, so that we don't waste your time and resources.
We have learned over time that we work best with companies who:
a) have a great product,
b) already have a decent amount of traffic and sales,
c) have a bias toward action,
d) are willing to test and measure everything,
e) don't take shortcuts and understand the value of the whole process.
Is that you?Apply for Nextommerce Partnership
Answer a few questions about your business to start the conversation. If we think we're a good fit, within 24 hours we will get back to you with all the answers you might have, and a quote.
You've got questions? We've got answers.
Q: How long does it take to see results?
Usually, after 2-3 months you see the needle move. Continuous conversion optimization, based on a proven and thorough process, is not a growth hack trick or hack. It takes time to get high-quality data during the research phase, then implementation of the first tests and waiting for the results while they run. This is why we have a minimum 3 months partnership, with a month-to-month afterward. Anything less and we would be promising something we wouldn't be able to deliver.
Q: Who will be implementing the tests?
We can help you set up simpler tests in a A/B testing tool. That could even be 50%+ of the tests. But with more complicated tests your development team will need to be involved.
When the test wins, your dev team will also need to implement it permanently on the site. This should be easy though, as we would have the code from the A/B testing tool which should make your life easier.
Q: Can I trust the test results?
Yes. We have strict rules about the amount of traffic needed for each test, the duration for each, and the level of statistical significance needed for us to call a winner. As long as you stick to the rules, you should be (scientifically) confident in the results.
Q: Who do you typically work with?
We work with companies with a proven product and a decent amount of traffic. What's decent? At least 30,000 visitors per month. Ideally a lot more. If you have fewer monthly visitors, it could still make sense to work with us, but you should be prepared for the longer testing cycles.
Do you still have any questions? Fair enough. Let us know what we can help you with, and we'll get back to you as soon as we can.