How many do you need to sell to be profitable?

Published on March 27, 2020

Some facts for foodscience entrepreneurs…

I meet a lot of entrepreneurs, often at the first steps of their food business. In the last couple of years, launching food products, aiming for big retail is getting hotter and hotter. But I often see a lot of inconsistencies which I think should be addressed. The biggest is about the business itself. Most of these wannabe entrepreneurs have forgotten, in their flame, to open any spreadsheet.

Let’s take the example of an “innovative pea protein cookie company” which aims to launch a range of vegan, pea-protein-enriched cookies idea is to sell the product in supermarkets by the unit when workers buy their lunches. Ingredients are quite expensive and the final product should be sold around 4€/unit in order to create a 30% margin. As this price is quite high, it can only target some demographics in big cities such as Paris.

My first question, when meeting with the entrepreneurs was “how many do you need to sell to be profitable?”. It seems that this question was quite new to them and that nobody had ever asked it (discouraging the hope and creativity is such a bad thing, isn’t it?).

So I took a napkin to do the math:

  • just to cover the basic cost of the team (two young graduates in Paris), you need to make 60*2 = 120k€/year
  • you will have some company-related costs, let’s say 20k/year
  • cookies are good but they seldom sell by themselves, so you will need some marketing online, PR, etc… let’s say again a very small 20k/year

So how much cookies to be barely even?

  • 4€ cookies => 3,8€ after 5,5% VAT
  • 30% margin => 1,15€ margin / cookie

So… the company should sell 140,000 cookies/year or around 500 per working day.

Was there a plan to go from zero to this?
And then from there to 10,000 in order to generate a profit and grow have I mentioned that this startup was looking for a few thousand euros in investment to develop?)…

I know that entrepreneurs should be ambitious, aim high and don’t plan as big companies do. But does that mean spending one year in a non-sense dream? This question is both for entrepreneurs and for those which work is to “help” them, such as incubators or coaches who should put some reality calls in their method.

You're in a good company

Join the 60+ clients of Digital FoodLab: leading agrifood companies, retailers, banks, investors, startups, and public organisations.

Use case: project for a global F&B company looking to map its AgTech innovation ecosystem and the best startups to partner with

What we did:

  • Mapping of the AgTech ecosystem: startups, research regulators, and other leading companies.
  • Discussion to select areas to focus on.
  • Analysis of the information to reveal the trends and a model to analyse eventual partners.
  • A workshop to validate the opportunities based on our recommendations.
  • Scouting of relevant partners followed by introductions.

Results:

  • Mapping the different categories of innovations in AgTech that should be considered now to create long-term benefits for the business.
  • Identification of key partners (an incubator and a couple of startups).

Use case: project for a CPG company on the healthy ageing ecosystem

What we did:

  • Education of the board through a couple of workshops to define the perimeter
  • Identification of key opportunities and threats created by long-term evolutions (technologies, business models, behavioural changes).
  • Deep dives on each of the priority categories.
  • Co-construction of a vision on how the company should address these challenges.
  • Identification of partners (startups, incubators, funds) to move forward.

Results:

  • Creating a consensus on which categories to prioritise and how to address them.
  • Implementation of an open innovation strategy through the development of partnerships.

Use case: project for a global CPG company to develop a strategy on the healthy ageing ecosystem

What we do (ongoing mission on a subscription model):

  • Kick-off where we present an overview of the AgriFoodTech ecosystem to select with the client the categories to cover and for each, the level of information required.
  • Monthly newsletter: each month we send a newsletter with the articles that we have gathered ranked by relevance, their summaries, and a layer of analysis.
  • Database: we set up a personalised database that will be filled month after month with the information gathered on the companies identified for the watch.
  • Workshops: twice a year with the client’s innovation team and other “innovation curious” team members, we present an overview of the evolutions, key trends and a dashboard of the topics followed by the watch.

Results:

  • A clear, regular and evolutive tool to follow what is happening in terms of innovation on key topics.
  • A forum (through the workshops) to discuss innovation trends and new opportunities.

Use case: opportunity screening for an ingredient company

What we did:

  • Kick-off to define the perimeter of the ecosystem studied.
  • Mapping of the different trends shaping the innovation ecosystem of the client.
  • Analysis of the trends on DigitalFoodLab’s trend curve and other relevant frameworks.
  • Workshop to discuss DigitalFoodLab’s recommendations on key trends to prioritise

Results:

  • Shared view of the innovation ecosystem for the client with a view of the trends to prioritize.
  • Clear document (personalised trend curve) that can be easily shared internaly to explain the company’s innovation choices and which can be then updated each year.

Use case: scouting for an agriculture coop

What we did:

  • Kick-off to define the perimeter of the client, the goals of the scouting (partnerships) and the criteria on which startups should be evaluated.
  • Set-up scouting: we selected the first batch of 20+ key startups following the criteria of the client.
  • On-going scouting: then we set up a quarterly scouting of about ten startups.
  • For each scouted startup, we created an ID card with key information such as the business and technological maturity, funding, and corporate partnerships. We also added an explanation of why we selected this startup.

Results:

  • An ongoing and evolutive scouting are matching the client's criteria and its capabilities in terms of deal flow.

Use case: working on an acquisition process for a CPG company

What we did:

  • Kick-off to define what the client is seeking, notably in terms of maturity.
  • Workshop with the client based on a mapping of the different innovation ecosystems adjacent to its activities to select some priorities and discuss inspiring examples of startup acquisition stories.
  • Identification of 20+ targets.
  • Workshop to select the most relevant to engage with.
  • DigitalFoodLab worked as a sparing partner during the acquisition process, notably to help design how the acquired startup could be integrated into the overall company’s strategy.

Results:

  • Different results from traditional M&A processes with a focus on the client’s innovation strategy.
  • Identification of a good match for an acquisition.

Use case: market due diligence on sugar alternatives

What we did:

  • Kick-off with the client to discuss its interest on this category, its expectations and existing level of information (notably on the target company).
  • Mapping of the ecosystem to analyse the different existing alternatives and technologies to compare them.
  • Interview (calls) with relevant startups made by our internal biotechnology expert.
  • Recommendation on whether to invest or not.

Results:

  • Clear view of the ecosystem and of the reasons to believe (or not) in each sub-category.
  • Enforceable recommendations based on facts and expertise.