No-code AI analytics platforms enable small marketing teams to extract actionable insights from data without coding skills.

For small bussiness

Brass
How is the score calculated?

To determine whether an idea is "Muck" or "Brass," we consider three key factors:

1). Is the search volume increasing? It’s advantageous to be in a growing market.
2). Is there significant competition? While competition can validate an idea, too much of it can make it difficult to stand out.
3). Are enough people searching for the relevant keywords? If search volume is too low, building a business around the idea may be challenging.

Of course, startups aren’t an exact science—very little people were searching for "couch surfing" when Airbnb first launched.

Trending searches

actionable data insightsai marketing toolsbusiness performance analyticsdata analytics softwaremarketing analytics platformno-code analyticssmall business insightssmall business intelligence
Search Volume4K / month
Competition (SEO)17 / 100
Competition (paid)23 / 100
Cost per click$19.46

Search Volume

Last 5 years

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Prompt

Copy-paste the following prompt onto Marblism to build this app

Small businesses often struggle with the complexities of data analysis, leaving them overwhelmed and unable to leverage their data effectively. Many small marketing teams lack the coding skills needed to extract valuable insights, resulting in missed opportunities for growth and performance optimization. Our no-code AI analytics platform addresses these pain points by empowering users to easily convert raw data into actionable insights without needing technical expertise. The platform features intuitive drag-and-drop tools and customizable dashboards, allowing marketing teams to visualize data and uncover trends effortlessly. Automated reporting and real-time analytics ensure that decision-makers have access to the most up-to-date information, enabling rapid response to market changes. By simplifying the analytics process, small businesses can focus on strategic initiatives and campaigns, maximizing their impact while significantly reducing the time spent on data analysis.

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