How we created a financial plan for a potential AGP partner’s Amazon product

We recently officially launched . It is a non-agency model where we do not look for clients but rather partners. In this context, we have a due diligence process that we started 4 weeks ago with the first company and that we will start next week with the second.

In this process we want to carefully evaluate three things:

  1. Sales potential of partner products.
  2. Market potential for the products.
  3. Business profitability.

Once a deal is closed, we start working. We don’t work on a fee basis, but rather on a variable basis. Our time is not guaranteed to be rewarded as in an agency model. That’s why we have to be very sure whether or not to get involved in a new partner.

It is something we do for ourselves vietnam whatsapp number data but which obviously also provides a lot of value to the partner regardless of whether or not they continue with us.

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Market study to estimate total sales volume

In order to create the financial plan that is part of the Was ist CTR? Was ist eine gute CTR? business plan, we need market data. To do this, we calculate the total sales volume, typically starting with the largest market in Europe (Amazon.de).

We use different tools such as Helium10, Junglescout or Keepa for this. We combine data from several tools to improve the quality of the data we obtain. The tools are made to analyze individual products or niches but not at a market level.

We have developed a method, so to speak, that resource data allows us to generate data for total and annual volume for market segments.

Spreadsheet with data

Now comes the second part. Most Amazon entrepreneurs would start here. The problem you have is this: you are typically too generous in crunching the numbers.

I’m not saying that we are robots and that we can exclude all emotions in this exercise. If you are an entrepreneur, it is almost impossible. The good thing is that we have a reference.

At the end, when you make your spreadsheet, you get a turnover total. You can put this data in relation to the total size that you found out in the market study. In no case can it exceed 100% because that would mean that you predict having more sales than the existing market can absorb.

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