About Total AI Score

The Total Score is an indexed number, 0-100, that helps consumer brands find and prioritize based on predicted demand. The closer to 100, the higher the predicted demand relative to the other attributes. This index helps brand leaders identify which trend are the best ones to focus on.

The Total AI Score is calculated by using machine learning to cross-analyze data from customer reviews, searches, social media, and products. The patterns across our data sources, and their historical demand changes, are used to filter out noise and accurately predict future consumer demand. For each attribute, the following KPIs are calculated, then indexed across the category:

Customer Reviews - the number of times a review in the category mentions an attribute;
New Arrivals - the number of products launched in the past 6 months that feature an attribute;
Instagram Mentions - the number mentions of an attribute in posts in your category from the past 6 months;
New Arrivals - the number of new products from the past 6 months that feature an attribute;
Passion - the amount of emotion when consumers mention an attribute, scaled on an index of 0-100, 100 being the most passion (both positive and negative comments) and 0 being the least passion (neutral tone comments);
Google Searches - how popular a search term is compared to its most-searched time on an index of 0-100: a score of 100 is the most-searched time, 50 means it's searched half as much, and 0 mean

Question 2

Learn More About KPIs

Accepted Answer

About Simporter KPIs

For each attribute, the following KPIs are calculated, then indexed across the category:

Customer Reviews - the number of times a review in the category mentions an attribute;
New Arrivals - the number of products launched in the past 6 months that feature an attribute;
Instagram Mentions - the number mentions of an attribute in posts in your category from the past 6 months;
New Arrivals - the number of new products from the past 6 months that feature an attribute;
Passion - the amount of emotion when consumers mention an attribute, scaled on an index of 0-100, 100 being the most passion (both positive and negative comments) and 0 being the least passion (neutral tone comments);
Google Searches - how popular a search term is compared to its most-searched time on an index of 0-100: a score of 100 is the most-searched time, 50 means it's searched half as much, and 0 means there's too little data to measure.

Question 3

Learn More About Lifecycle Stages

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About Lifecycle Stages

Depending on the category size, lifecycles are determined by the number and the marketshare of brands that sell products that feature an attribute. The more large brands that sell products with an attribute, the closer the lifecycle stage gets to the Mass status. The less large brands that sell products with an attribute, the closer the lifecycle stage gets to the Emerging status.

Emerging: this stage is where a product attribute is emerging and a few brands have products with this feature. It has a small market share because it's just starting to be noticed;
First Mover: in this phase, the product attribute is picked up by a few brands which become the first to market it nationally. These brands gain an early market share advantage by being pioneers;
Fast Follower: here, more brands quickly adopt the attribute after seeing the initial success of the first movers. An attribute's market share grows as national brands try to capitalize on the trend;
Mass: at this stage, the attribute is widely adopted across many brands, becoming standard in the market. The market share is distributed among a large number of major national brands.

Understanding an attribute's lifecycle stage is helpful for CPG new product innovators for several reasons:

Resource Allocation: Knowing the stage helps innovators decide where to allocate resources like time and money. Early stages may require more investment in marketing and education, while later stages mi

Question 4

How to Create a Custom Attribute

Accepted Answer

Creating a custom attribute

You can create a custom attribute when you cannot find one that you are looking for. Machine Learning processes millions of data points and, with attributes often very diverse, does require humans in the loop to improve its results. So your added custom attributes will make Simporter's data more useful for you. To create a custom attribute, follow these steps:

Getting started

To add a new attribute to your list, click the "+ Add Attribute" button in your dashboard.

Creating your attribute

In the Attribute Manager form that pops up, press the "Add Attribute" button to proceed.

Select subcategories for your attribute

Choose the categories and subcategories where you want the new attribute by activating the buttons. The subcategory you were in when you clicked "+ Add Attribute" is selected by default. Hit "Submit" when you’re done.

Sharing your attribute

Decide if you want to share this attribute with other users by turning on the button next to their names. Confirm your choices with the "Submit" button.

Setting up the attribute

Enter the attribute's name, type (

Question 5

How to Create a Custom Table

Accepted Answer

Create a Custom Table

Get Started

Custom tables let you organize groups of attributes on individual tables so that you can benchmark attributes against each other grouped more specifically than ingredients, needs, or sensory. For example, you can make a custom table about sustainability trends and select only attributes related to sustainability.

To start, select the "Research a Category" option from your dashboard.

Choose a Category

Select the category that you want to save your custom table inside. You can use attributes from different categories after creating a table.

Add a Table

Click the "Add Custom Table" option to create your new table.

Name & Save Your Table

Type in the name for your custom table and confirm by clicking the "Submit" button.

Question 6

Welcome to Simporter

Accepted Answer

Welcome to Simporter! The AI tool for improving new product success. Simporter helps Consumer Product brands with:

Predicting new trends
Identifying unmet consumer needs
Building new product ideas
Validating product ideas with consumers
Forecasting sales of new products

Welcome to our Knowledge Base!

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