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Any new costumer acquisition strategies for Data Science startups in 2017?

As they say, "The future is not like it used to be..."

How to get clients for Data Science services in 2017?

The term Data Science is still not so well defined. This often presents a marketing challenge when new startups trying to find B2B clients.

So, how do you approach potential clients?

Many small businesses have little or no idea how to get any value out of their data. But, these potential clients usually don't have a clue what data scientists actually do.

It's generally difficult and time consuming to target these businesses. In other words, the marketing efforts could turn out to be a waste of time and resources.

Does anyone have any success in B2B direct marketing Data Science services to small businesses? If so, can you share with us your secret sauce?

 

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show them they have a need for your services, rather they realize it or not, then be able to show them how you are going to fill that need as simply as possible

Thanks for your reply Marty,

Yes, you're absolutely right.

I have to admit, I am not very good with the "Problem - Solution" marketing approach. But, I know it works. In some cases, that's the only marketing method that will work.

Some marketers can convince people that they desperately need something, when they don't actually need it at all. I have a hard time convincing anyone, even when they really need the service I am offering.

I guess, I have to team up with some good marketers.

Do you have any experience teaming up with marketing gurus to sell your data products or services?

If so, how did that work out?

Marty said:

show them they have a need for your services, rather they realize it or not, then be able to show them how you are going to fill that need as simply as possible

Yes, I have some experience it worked out pretty well, led to a pretty significant acquisition.....but I think the success came because the product was actually needed, some companies like Apple for example can convince you that you need something you don't and most consumers will jump all over it, but small business owners are a completely different breed. In most cases every penny counts, and their business is their livelihood, so if you can show them how your product will save time, money, and generate an ROI, then you are golden. It has to make sense for the business, so you have to research the biggest pain points for small businesses now, social media seems to be one of the bigger ones at the moment

I am making some progress showing potential clients that they do need some of our services. For example, Customer Relationship Management (CRM) is an important part of improving business relationships with customers. Many companies get this part and they understand they need to take control of their CRM!

According to Gartner: "“65% of a company’s business comes from existing customers, and it costs five times as much to attract a new customer than to keep an existing one satisfied.” - source quoted as Gartner.

When the client reads this, they're definitely interested. Most businesses should be concerned about reducing churn rate. Up to this point, it's a no-brainer, as far as marketing. But, when it comes to explaining the deep learning solutions to their CRM problems, I lose them very quickly. They can't wrap their head around the subject.

I just wrote an article about CRM solutions using Deep Learning here. I am keeping it as simple as possible, but I am not sure I am getting through.

Marty said:

show them they have a need for your services, rather they realize it or not, then be able to show them how you are going to fill that need as simply as possible

Thats it! its all about hard numbers and ROI, when you keep clients happy they are much more likely to help you out with word of mouth referrals as well, and word of mouth referrals are golden, I think the article is good, BUT you have to consider the attention span of the average adult...its not very long...and the average business owner is even less (look at page bounce rates and etc)....so make sure you have everything that you need to grab their attention right at the top of the page

For starts, engage potential clients and understand if you fit better as a "data product" or "decision sciences" space; if data product you should discuss how clients will leverage data science & engineering in improving upon a given (existing) product and it's performance [as an example, improved SEO, recommendations]. If leaning on decision sciences, you are engaging on modelling [with improved accuracy, of course] business metrics [as an example, churn,ROI, growth] & forecasting key business KPIs for your client. hope this helps.

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