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How Nudge compares

Nudge has been built for the modern web; for a multi-device, multi-tab, multi-tasking web. You see that; in the metrics we gather, the insights we bring and the easy to use experience. We believe data can only add value, if you use it, which is our aim.

The metrics span advertising analytics, content, heat map & site metrics. Whilst bringing in easy insights, which take you from insight to action faster.

Traditional analytics were built in a different space in time. Many complement their existing solutions with Nudge to get a more accurate idea of performance.

Traditional systems also often collect data, to power advertising that your competitors can use. A byproduct of this means they are blocked by adblockers & browsers and sometimes whole countries. Meaning you could be undercounting your performance. Many trying alternative solutions see an increase of 10-15% of traffic, they simply have been missing traffic before.

Rather than being clunky, and hard to get set up, with costly implementations. Nudge requires just a simple piece of code to get up and running. Dashboards & insights require no config and are set up automatically. Reducing your time to deploy and saving implementation costs.

Traditional systems have been getting slower, not faster. Speed of code execution is important, if the code loads slowly, it means users may not be counted. Which then means all your other metrics are being over reported.

We don’t believe analytics should be something installed once and then forgotten. That’s a disservice to your customers, who express feedback through their actions. Analytics works best, when it keeps you informed of what’s happening. And that means we have to deliver a simple, informative experience, to make it easy for you to do your job.

Here’s how we compare to traditional analytics.

Compared to Traditional Analytics
Why is this important?
User friendly and easy to understand.
Anyone on your team needs to be able to pick and run with Nudge. We believe the best tool is the one you use. No need for lengthy training or certification.
Accurate measurement of attention.
Customers are won and lost in seconds, most analytics miss this and in turn means you do. High fidelity data creates more opportunities to improve.
Generates insights that makes you smarter.
Business operates at lightspeed these days, coming to the table with insights puts you in the driver’s seat.
Simple metrics that focus on customer engagement.
The only truth is what customers engage in. No customers, no business.
Faster and light weight tracking code execution. Our payload is 60%-90% smaller than traditional systems.
Lighter and faster code means you collect more data on more customers. Right now you are probably undercounting.
Fast to install and low config.
Getting up and running out of the box faster is crucial. Simple installation means the barrier to entry is low and anyone on the team can get started.
Continual improvements to the product.
The only constant is change, an analytics system which keeps pace with industry standards and the modern web means you’ll never be left behind.
Respects customers’ privacy, leverages first party cookies.
Customers come first and they just want to see what you’ve got, why it’s important, not sign their life away. This also means less browsers block the code so measurement is more accurate.
Does not sell your data for others to advertise against.
You don’t want to feed your data so competitors can leverage it in their campaigns.

Most folks use multiple tools and there’s no reason not to try another. You can start for free, in fact you might learn something new.

39% faster

In tests, the Nudge payload is much smaller than traditional analytics. Slower code can mean less accurate data and cherry picking. Speed helps get the most accurate view.

Nudge logo
39% less time to start measuring

Traditional Analytics

Methodology compared the payload of traditional analytics using Lighthouse in March, 2023.
Payload is the file size of the script, required to be downloaded, to begin tracking.

Read more on why speed is important to analytics.