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Nuts & Bolts of Intellectual Property for New Startups

Gust

It’s possible to have a company with literally millions of customers (users) that employs only a handful of people, working in a small rented office, with hardware and software costing in the tens of thousands rather than millions of dollars. Most of our early-stage startup clients fit this description.

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Entrepreneurs Need Market Data to Back Their Vision

Startup Professionals Musings

Is it possible to get this information with minimal cost? Search on any product name for census data, online research reports, trade association publications, and online newspapers with relevant statistics. Let me offer a few suggestions which should allow you to do the work yourself: Use Internet search engines.

Marketing 243
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Get Credible Market Research Without a Consultant

Startup Professionals Musings

Is it possible to get this information with minimal cost? Search on any product name for census data, online research reports, trade association publications, and online newspapers with relevant statistics. Let me offer a few suggestions which should allow you to do the work yourself: Use Internet search engines.

Marketing 221
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The Advanced Guide to Holiday Testing

ConversionXL

Product names / descriptions. Promo / Sale / Discount names / descriptions. Maybe they were stocking up before the end of the year? Shipping cost? How much are consumers willing to pay for your products? Do your visitors view your products as higher quality? Or the other way around? We don’t know.

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The Ultimate Inventor’s Guide to Inventing Things

Up and Running

If you do have competition, pay special attention to your product name, price range, materials used, what the product claims to do, packaging, and who the manufacturer is. Drop into a store that you think would be a great candidate for stocking your product in the future. Your price positions you in the market.

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Data Blending: What You Can (and Can’t) Do in Google Data Studio

ConversionXL

Your join key could be a page URL, product name, user ID, or many other things. Jones’ example blends data from two sources: A table that includes products’ wholesale cost by SKU (“COGS”); Google Analytics sales data. To blend data, the data sources need to share a common dimension. This is known as a “join key.”

Analytics 123