Experiment To Growth

When it comes to our optimization process so number one thing is that obviously we need to run all tests to make effective changes to our website to our landing pages or whatever where traffic landing on.

It starts with the stuff if you have not qualified team you will run the tests and you will not getting any results so we are wasting time in regard business eventually so we need to target the team first to make a successful plan for experiments so it would have a positive impact.

The second part you need to focus is the reduction or the duration and the cost of the experiments so we cannot be slow or we will brainstorming for 5 months about the test hypothesis we need to be faster and generate good ideas in a short time.

The test speed is the third thing you need to be focus, but we don’t answer the question which “how to optimize our website?” you cannot run all the experiments in the same time so you will not be apply to know which one that makes the difference whether positive or negative it will be very stupid to do that, the average A/B test run for a one metric beside your amount of traffic and the and transaction you have but on an average website it will takes 4 weeks so if you have 100 idea so your time will be more than 7 and half years!!.

So you need to prioritize your ideas in the beginning so which one you start first then the second one so on……

Here it is a checklist for e-commerce optimization from a reputable website Moz a trusted source in digital marketing field specialist in SEO: https://moz.com/blog/holygrail-of-ecommerce-conversion-optimization-91-points-checklist

In this link you can find the way to better conversion rates in eCommerce website hope to share with me your feed back.

What’s your idea and why do you think it’ll work? Do you have data backing it up, or are you just guessing? Not that there’s anything wrong with guessing, per se.

You test the ideas and discuss your goals. After analyzing the data in terms of growth metrics, issues, and opportunities, you might want to score ideas to make them legible in quantitative terms. One way to do that is the ‘ICE’ method, scoring for impact, confidence, and ease.

Growth hacking effectively means building a big backlog of growth ideas and testing them all out. Having a sizeable backlog of ideas is beneficial because you’ll always have new angles to work.

If the test didn’t work out the way you’d expected, you’ll have enough data to see why. Follow-up tests can then be informed by the data you’ve piled up.

On that point, you’ll have to run tests for enough time that you’ll gain data to make an informed decision. It’ll take weeks to get a sufficient sample size, so you can meaningfully analyze the results.

For example, when it comes to acquisitions, you can build a model for determining ROI and check on your results a month or six weeks-ish later. You’ll have an informed idea of whether or not the model is working, and whether users are converting through a channel in a way that’s cost-effective for your business.

Process or number oriented marketing can result in a drift from the purpose of what you’re doing. Product initiatives can kill growth hacking because marketing and growth are proactive rather than reactive. It takes discipline to keep investing in and driving the growth process.

Growth hacking ain’t easy.

You have to make sure your efforts to reach out to customers doesn’t seem like spammy email marketing stuff. And if you’re not careful, your testing can drift you away from the purpose of your business.

But if you get it right, growth hacking delivers the value needed to drive sustainable growth. It helps the right users get value from your product, and provides a coherent idea of ‘value delivery’ that your team can rally itself around. That strengthens your organization’s self-understanding, which will bear many a fruit over time.

The information required for development hacking is assembled when you run loads of various examinations on various showcasing channels. There are various information examination stages out there – or you could build up your own in-house programming. Directing investigations will assist you with figuring out what is driving the best outcomes for your item and what is keeping it down.

A/B testing, otherwise called multivariate testing, is one technique to try out item, site, or promotion changes by demonstrating them to just a portion of your clients.

Thusly, you can check whether what you see as an improvement will be taken a similar path by your crowd – before you turn it out.

Out of the apparent multitude of measurements you measure, there will be one that is most firmly connected to the worth clients get from your item. This is your North Star Metric (NSM). For instance, Airbnb's NSM is "evenings booked" through their foundation – which offers some benefit to hosts and visitors.

Recognizing your NSM is a fundamental piece of getting your entire group energetic about the development cycle. One key measurement mirroring the item's fundamental belief will assist with joining each aspect of your business around a shared objective.

This is the second you need every one of your clients to reach – the moment that the estimation of your item or administration turns out to be clear. The client thinks "Ah ha! I love this item and I need it in my life." The second will be diverse relying upon your specific item, yet you'll normally realize it has happened dependent on transformation or client maintenance.

Broadly, Facebook's Ah Ha! Second is the point at which a client includes seven companions inside ten days. That is the point at which they're probably going to stay. Experimentation can assist you with recognizing your item's Ah Ha! Second and how to channel possibilities towards that point.