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The Intelligence Era
We are bringing the intelligence layer to analytics, from data collection & insights to prediction. The intelligence layer, leverages machine learning & AI to learn from our data, and find inferences & patterns, that are too challenging to isolate without their help.
It all started with our attention model and quickly became custom models and the introduction of MMM’s. Read on for more
Attention model
If you’ve spoken to us recently, you’ve probably seen a WHOLE new generation of Nudge tools ✨, anchored around our attention model.
Imagine if you could predict or simulate success before spending money? Now you can. With Nudge’s models, you can build, enrich & deploy your own predictive models.
It started with a client going, can you give me data on this press mention? Without the use of tracking code. Which is what we would normally do. So without that, we thought what could we do? And that’s where machine learning can help. We built a model, that analyzes a url, records the meta data around it, that is impactful to the attention on that page. And it enables us to predict how much attention that pages gets.
The attention model, enables attention measurement & insights on any given page without the use of tracking code.
Attention is a predictor of downstream objectives like impact, brand lift & conversion. Bring it into your workflow, to improve content upfront, predict success & impact. Audit content, competitive analysis.
For example:
It all started with our attention model and quickly became custom models and the introduction of MMM’s. Read on for more
Attention model
If you’ve spoken to us recently, you’ve probably seen a WHOLE new generation of Nudge tools ✨, anchored around our attention model.
Imagine if you could predict or simulate success before spending money? Now you can. With Nudge’s models, you can build, enrich & deploy your own predictive models.
It started with a client going, can you give me data on this press mention? Without the use of tracking code. Which is what we would normally do. So without that, we thought what could we do? And that’s where machine learning can help. We built a model, that analyzes a url, records the meta data around it, that is impactful to the attention on that page. And it enables us to predict how much attention that pages gets.
The attention model, enables attention measurement & insights on any given page without the use of tracking code.
Attention is a predictor of downstream objectives like impact, brand lift & conversion. Bring it into your workflow, to improve content upfront, predict success & impact. Audit content, competitive analysis.
For example:
This is being used by advertisers for attention optimization, PR companies for insight & measurement, email companies as extra metrics and agencies for attention measurement & insights and platforms for measurement & insights embedded into the platform.
Whether it’s on branded content, content marketing, earned media, emails or contextual placements, as long as it’s a page with content, we can model it.
Most are starting with our general model, then working towards have their own custom models over time to predict their own metrics! Custom models bring in and link to historical performance data, leveraging our content model, to understand and synthesize, for future prediction. Think about our data, but enhanced with an intelligence layer, that’s the future of analytics. First party data + predictive models.
For example, a platform with a lot of content or content data, could bring in that historical data, and use the models, to build their own predictive model to predict their metrics. Predict the conversion rate, click rate, brand outcomes, the pickups or ranking. Whatever the objective is. These sorts of things are now possible, using these building blocks.
Here is an example API output for a given url:
[
{
“url”: “https://brandwebsiteorpublisher.com/hello-great-article-on-brand“,
“pAttention”: “48.0”,
“attentionCategory”: “Good”,
“insights”: [
“Revisit the tone of the piece, is it engaging?”,
“Make it easier to read.”,
“Consider reducing industry lingo or repetitiveness of terms.”
]
}
]
Whether it’s on branded content, content marketing, earned media, emails or contextual placements, as long as it’s a page with content, we can model it.
Most are starting with our general model, then working towards have their own custom models over time to predict their own metrics! Custom models bring in and link to historical performance data, leveraging our content model, to understand and synthesize, for future prediction. Think about our data, but enhanced with an intelligence layer, that’s the future of analytics. First party data + predictive models.
For example, a platform with a lot of content or content data, could bring in that historical data, and use the models, to build their own predictive model to predict their metrics. Predict the conversion rate, click rate, brand outcomes, the pickups or ranking. Whatever the objective is. These sorts of things are now possible, using these building blocks.
Here is an example API output for a given url:
[
{
“url”: “https://brandwebsiteorpublisher.com/hello-great-article-on-brand“,
“pAttention”: “48.0”,
“attentionCategory”: “Good”,
“insights”: [
“Revisit the tone of the piece, is it engaging?”,
“Make it easier to read.”,
“Consider reducing industry lingo or repetitiveness of terms.”
]
}
]
Given the pace of development the website continues to lag the actual progress. This page is aimed to keep up to date, whilst we continue to update product and other areas of the website.
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Custom models
Building upon the attention model, we can help you build your own custom models to make your own predictions on your proprietary metrics.
The attention model encompasses so much intelligence in just one or two metrics, it fast tracks the ability to get a predictive model in production.
Building upon the attention model, we can help you build your own custom models to make your own predictions on your proprietary metrics.
The attention model encompasses so much intelligence in just one or two metrics, it fast tracks the ability to get a predictive model in production.
MMM’s
Imagine being able to attribute the impact of zero click marketing and/or other unattributable advertising & marketing activities. With new machine learning tools marketing mix models aren’t just the exclusive realm of the biggest advertisers. They also enable brands focused on zero click marketing, to unpack the effectiveness of their activities. A huge sigh of relief for marketers who have believed but been unable to prove their efforts.
What is a MMM? Mixed media modeling is a concept that existed pre-digital. To help understand how media activity drove results. These principles have been digitized, and enhanced with better data & inputs, as well as machine learning models to be relevant today.
We work with you to bring in a proof of concept, onboarding your data, finding gaps, and helping establish those links between activities and business results. Using our tools & libraries mean you get a more effective model in market faster.
We’d love to talk to you about how you can deliver on your business opportunities leveraging the intelligence era tools.
Imagine being able to attribute the impact of zero click marketing and/or other unattributable advertising & marketing activities. With new machine learning tools marketing mix models aren’t just the exclusive realm of the biggest advertisers. They also enable brands focused on zero click marketing, to unpack the effectiveness of their activities. A huge sigh of relief for marketers who have believed but been unable to prove their efforts.
What is a MMM? Mixed media modeling is a concept that existed pre-digital. To help understand how media activity drove results. These principles have been digitized, and enhanced with better data & inputs, as well as machine learning models to be relevant today.
We work with you to bring in a proof of concept, onboarding your data, finding gaps, and helping establish those links between activities and business results. Using our tools & libraries mean you get a more effective model in market faster.
We’d love to talk to you about how you can deliver on your business opportunities leveraging the intelligence era tools.