Our marketing campaign: Essential Analytics

Recently, I just finished updating our first white paper for Bimotics' Essential Analytics campaign. From concept to fruition, this milestone took much more time and effort than I expected- nearly a year. Much time was spent understanding what my potential customers, the small and medium sized business really need to know about analytics.  

After wading through topics about why metrics do not work for small business such as not having the know-how to set up metrics let alone time to look at metrics and having low data quality with the applications. (Problems our software also solves but makes us sound like IT folks.) I was wanted to focus on bringing value to those that were already open to metrics and analytics, but perhaps needed more practical advice on how to apply it. The response from potential customers that stood out and fit with my goal was: There is not enough context on when it is appropriate to use one metric or KPI.

As a practicing business analyst, gaining insight from the data and measurements comes more naturally. But observation has shown that many small and medium sized businesses do not have a seasoned business analyst to "read the tea leaves". Even our early adopters, can struggle with making sense of the numbers. Once an organization has the ability to measure their business operations and performance. Questions immediately arise:

• Does this metric make sense for my business model?
• Does this metric make sense for my industry?
• Which of these metrics are more important?
• What does the analytics even mean to my business?
• Do these metrics even align with my current strategy? 

From this research, I worked on the design for my for Essential Analytics marketing campaign. The white paper series will showcase one key business metric that one can get out of our first data sources: Quickbooks and Freshbooks. Then, we use business cases to describe how other managers and business owners use the metric to get solutions to everyday business problems. Our readers can get both more context around metrics and how they can be used, as well as, come up with ideas on how to use analysis to answer their own questions.

Notes From the Road -- What We Learned at the Miami Small Business Expo

What a great week at Bimotics! The entire team got to update their pitching skills, but more importantly put faces and names to the businesses we work to serve each day. We spent two days traveling to small business exhibitions, talking to dozens of local and regional potential customers and fine-tuning our sense of what small businesses need.

Here are some key takeaways:

• People who understand the benefits of business metrics and analysis but “are not there yet” are great for validating our explanation of the value Bimotics brings, but most likely will not fit into the sales cycle we are targeting because it takes a while to set up and use standard business practices.
• Technology providers that cater to small business are asked quite often where to get analytics and business intelligence systems that fit a tight budget. Possible partnerships and cohort awareness will definitely help us generate leads and grow our business.
• Demand for business intelligence solutions significantly drops off when solutions reach the $10,000 price point.  Those with higher price tolerance tend to be service-type companies who use analysis as part of their main offering. Bimotics is pricing our service in line with other small business applications.  We also know that we can tap greater demand at a much lower price point.
• Although technical startups are interested in our analytical software, they tend to fall into the “innovator” rather than the “early adopter” bucket.  What this means is that if we focus on selling just to technical startups, we may not be able to get the critical mass of small businesses we need.  Our goal is to serve all businesses but word of mouth and trust will come easier from non-technical startups, or businesses that are slightly farther along in their development.

Ultimately we left the events with even greater focus on what we need to do to cater to different customer bases and understand how their needs differ.  Our first and immediate post-conventions actions are to schedule product demos with the businesses that expressed interest and continue building local relationships.

Of the dozens of people that we spoke with, all were inspiring.  They were happy to share their stories of success in surmounting challenges in their businesses. They did not complain about budget or about having assembled the perfect team before they figured out a solution.  We were left with a renewed sense of persistence and optimism towards entrepreneurship and providing analytics services that businesses will find invaluable.

Notes From the Road -- What We Learned at the Miami Small Business Expo

What a great week at Bimotics! The entire team got to update their pitching skills, but more importantly put faces and names to the businesses we work to serve each day. We spent two days traveling to small business exhibitions, talking to dozens of local and regional potential customers and fine-tuning our sense of what small businesses need.

Here are some key takeaways:

• People who understand the benefits of business metrics and analysis but “are not there yet” are great for validating our explanation of the value Bimotics brings, but most likely will not fit into the sales cycle we are targeting because it takes a while to set up and use standard business practices.
• Technology providers that cater to small business are asked quite often where to get analytics and business intelligence systems that fit a tight budget. Possible partnerships and cohort awareness will definitely help us generate leads and grow our business.
• Demand for business intelligence solutions significantly drops off when solutions reach the $10,000 price point.  Those with higher price tolerance tend to be service-type companies who use analysis as part of their main offering. Bimotics is pricing our service in line with other small business applications.  We also know that we can tap greater demand at a much lower price point.
• Although technical startups are interested in our analytical software, they tend to fall into the “innovator” rather than the “early adopter” bucket.  What this means is that if we focus on selling just to technical startups, we may not be able to get the critical mass of small businesses we need.  Our goal is to serve all businesses but word of mouth and trust will come easier from non-technical startups, or businesses that are slightly farther along in their development.

Ultimately we left the events with even greater focus on what we need to do to cater to different customer bases and understand how their needs differ.  Our first and immediate post-conventions actions are to schedule product demos with the businesses that expressed interest and continue building local relationships.

Of the dozens of people that we spoke with, all were inspiring.  They were happy to share their stories of success in surmounting challenges in their businesses. They did not complain about budget or about having assembled the perfect team before they figured out a solution.  We were left with a renewed sense of persistence and optimism towards entrepreneurship and providing analytics services that businesses will find invaluable.

SMB behaviors toward Analytics

This week, the Bimotics team is headed to the annual Small Business Expo in Miami, one of the largest of its kind in South Florida, where hundreds will be in attendance. While we are using this opportunity to network and learn more about a wide range of small businesses and their reporting and analytical needs, we will be listening specifically for feedback as to why small businesses feel challenged when using data and analytical information. We will also be listening for reasons that prevent them from investing in metrics/analytics in the first place.

As our products continue to gain traction in the marketplace, it is critical to us to understand what makes businesses continue to use metrics and what causes businesses to stop using them once they have been established and measured. We are advocates on the subject and firm believers in the need for ongoing diligence in monitoring the health of a business through metrics.  

Bimotics has always assumed that the SMB would not adopt and continue to use analytical dashboards as long as they remained complex and expensive.  This is why Bimotics has been so meticulous in our efforts to make sure our designs are easy to use, intuitive and plug and play, and affordable. Our solution hits the sweet spot where specialized (and previously unaffordable) IT is made economical and easy, thereby solving the total cost of ownership challenges most small businesses run into.

We want to ensure that businesses continue to use, enjoy, and profit from business analytics, and we look forward to further validation and feedback at the expo.  In an effort to gain a holistic look at SMBs attitudes toward analytics we will be taking notes on the following:

• Relevancy of analytics day-to-day operations and long term objectives
• Sophistication of the organization and the desire for convergence of data across people and teams
• Financial acumen and overall knowledge of metrics and their uses
• Preferences for the graphical representation of data
• Technical skill and quality of in-house data
• Time and staff devoted to financial and business analysis

We are looking forward to it and we will keep you posted.

5 Gross Margin metrics and how they matter

Profit and loss is reported in every business through the income statement.  It is here that profit metrics can be created which can help a company assess its health over time.  Bimotics makes this analysis easy.  Especially in the case small and medium sized businesses, gross profit and operating profit analysis can help determine whether a company is executing on their core activities and what their next steps should be.

For example, gross profit is used to understand gross margin. Over time, if gross margin decreases, that implies that production costs are rising faster than sales. This trend signals that the company will need to increase cost controls and/or look for options to improve sales. When working with companies, we  have seen it time and again -- investors get concerned when profit margins are too low, indicating key weakness in the business model.

There are different ways to learn from the gross margin metric and leverage the power of Bimotics.  Following are a few examples:

 

1. Gross margin by product/service line: This lets you see which products or services bring you the greatest profit per unit. This analysis helps you identify the level of impact your products have on the bottom line.  You can use this information to help you decide, for example, if a product line is worth developing or phasing out or what campaigns are needed to improve a product line’s performance.  

2. Overall gross margin over time: This lets you see how sales and costs impact a product over a period of time. Trends can be measured and predicted taking into account external factors such as inventory headwinds and internal factors such as cost of inventory storage. Controlling or counteracting these factors can keep margins at a healthy level.

3. Gross margin by team: This lets you see how different working teams within your organization manage sales and costs. Depending on the objective of each team, you can compare and learn how they managed resources to meet particular goals.  This metric is used for learning events.

4. Gross margin by customer type: This lets you see which kinds of customers are impacting your profit and suggest price points that each type of customer will be willing to pay. Use the metric to decide if and how a particular product should be introduced and marketed to a certain customer segment.

5. Gross margin planned vs. actual: This is a good benchmarking tool that helps you analyze how well actual business measured up to what was forecasted.  The difference between the two gives you a starting point on where to delve deeper into the factors that are really impacting your business.  What did you not take into consideration that you were supposed to?  Are you meeting your goals?

In summary, gross margin is a key profit metric that every business needs to understand and track because it illustrates the relationship of sales and costs and is impacted by many facets of your business ranging from team and operations, to customer and product.

Bimotics allows you to easily and meaningfully analyze gross margin, and help you to fine tune and grow your business

Our marketing campaign: Essential Analytics

Recently, I just finished updating our first white paper for Bimotics’ Essential Analytics campaign. From concept to fruition, this milestone took much more time and effort than I expected- nearly a year. Much time was spent understanding what my potential customers, the small and medium sized business really need to know about analytics.  

After wading through topics about why metrics do not work for small business such as not having the know-how to set up metrics let alone time to look at metrics and having low data quality with the applications. (Problems our software also solves but makes us sound like IT folks.) I was wanted to focus on bringing value to those that were already open to metrics and analytics, but perhaps needed more practical advice on how to apply it. The response from potential customers that stood out and fit with my goal was: There is not enough context on when it is appropriate to use one metric or KPI.

As a practicing business analyst, gaining insight from the data and measurements comes more naturally. But observation has shown that many small and medium sized businesses do not have a seasoned business analyst to “read the tea leaves”. Even our early adopters, can struggle with making sense of the numbers. Once an organization has the ability to measure their business operations and performance. Questions immediately arise:

• Does this metric make sense for my business model?
• Does this metric make sense for my industry?
• Which of these metrics are more important?
• What does the analytics even mean to my business?
• Do these metrics even align with my current strategy?

From this research, I worked on the design for my for Essential Analytics marketing campaign. The white paper series will showcase one key business metric that one can get out of our first data sources: Quickbooks and Freshbooks. Then, we use business cases to describe how other managers and business owners use the metric to get solutions to everyday business problems. Our readers can get both more context around metrics and how they can be used, as well as, come up with ideas on how to use analysis to answer their own questions.

Design Thinking: Observing Extreme Users 2

Continuing the learnings from the Design Thinking training, figuring out who will be the extreme users of Bimotics is similar to the hypothesis of our early adopter customers. It is not a stretch to assume that those that are currently measuring and analyzing business would be the the most likely early adopter and positive extreme user.  On the other side of the spectrum, the extreme users that are least likely to use our products are those with either low data quality as poor quality adversely impacts the effectiveness of analytics or hidden agendas that is not supported by the data.

The things I would like to observe from our extreme users that love our product and find value in our features include the categories of analytics that mean most to them.  Are they leveraging topics related to sales and marketing over supply chain and finance?  How are they using the customer flows we designed? To navigate to and from analytics and dashboards, are they taking necessary steps to get around? I have learned from other software entrepreneurs that small business “use copy” and paste more often than using “new” in order to avoid typing in the same information over and over. Finally, I would like to know on what devices they access our application. Our product is mobile enabled; and we have taken care to so that our infrastructure supports mobile.  I would like to know if it was worth it.

Something to observe related to the extreme users who don’t use or even dislike our product, it whether or not they go to their teams and applications and work to improve data quality.  Are there initiatives or trainings that makes their resources input better information?  For those whose agendas don’t have data to support their decisions, I would be very interested in seeing and understanding how communication is done to other team members and whether they get push back from the others with access to the same analytics.  

I’m sure there are other groups of extreme users.  And the identification of extreme users can extend past product users.  For example, those that read this blog would be not segmented by product customer buy rather by prospect or investor.

Building our first Concierge MVP

Now that there is a healthy list of early adopter hypotheses, it is time to setup the Concierge MVP experiments.  If I understand it correctly for each hypothesized early adopter, I need to ask 3 main questions:

1. What is your initial value proposition for your customers?
2. How do you plan to convey the value proposition to them?
3. What are you looking to measure?

(from “Will it Launch” by  Poormima Vijayashanker)

Trying this for the the hypothesis, “SMBs that use Quickbooks but would like more analytical and reporting capability.”

1. What are your value propositions?
1. Provide additional visualized insight on-line with data pulled directly from the cloud (no need to load files)
2. Use a drag and drop metrics builder, to analyze your Quickbooks data-  don’t need to know how to run a query
3. Push button web technology that doesn’t require IT resources

(I wonder if there is a way to figure out which value proposition is most important.)  

2. How to convey the message?
1. Do a mini adwords campaign to see if people click on add-on reporting for Quickbooks 
2. Create a video that demonstrates how we pull data on the cloud so you don’t have to sit there and load flat files
3. Create a video that shows how you create a simple query through the drag and drop metrics builder
4. Go to the next small business expo and ask people to fill out a small survey
   
   
3. What will you measure?
1. Use interaction in terms of adwords results.  Additionally count e-mail addresses collected from the landing pages
2. Count video views in youtube.  I would also count e-mail addresses collected from landing pages with the videos on them
3. Process the survey results from the small business expo

One down six more experiments to think through. The survey is probably the easiest one to tackle in considering resources and complexity. But it is time to learn landing pages too. Hopefully I will be able to reuse some of the content or landing pages for the others.  What are the easiest landing page vendors out there?

Hypotheses for early adopters

Late in June, I attended an event hosted by the new business incubator at Broward College.  Poormima Vijayashanker lectured on many lean startup concepts in her presentation “Will it launch?”. At Bimotics, we often pitched our startup as the “mint.com for small and medium sized-business”.  So I have to admit; I was a bit star struck to meet the founding engineer of the business we’ve strived to be like.  Turns out she is pretty cool and down to earth.  I’m going to ask join her Femigineer mentor group.

So the main takeaway I got  from the workshop was related to coming up with the right hypothesis for customer adoption- particularly for early adopters.  Bimotics is a cloud analytics company targeting small and medium-sized business, so here are the segments I hypothesize will be our early adopters. They are:

1. SMBs that were established in the last 5 years that already use other cloud based applications, like SalesForce and Quickbooks to run their business
2. SMBs that use Quickbooks but would like more analytical and reporting capability
3. Consulting companies with analysts and data scientists that need a software platform to deliver their results to their clients
4. SMBs with more than 3 resources running their operations (non-technical)
5. SMBs comfortable using online marketplaces and app stores to source applications for run their business
6. SMBs whose employees have begun to use mobile technology day-to-day, whether its a smartphone or a tablet
7. SMBs that use social media as a source for business news.

With these hunches, the next step is to confirm or deny that these are my customers in the most cost efficient way.  Since we are only in alfa, I cannot just prove usage of by these groups, I will need to try out the concept of “concierage MVP” also taught at the workshop.