The New and Evolved Data Structures

Steve BurgData, Uncategorized0 Comments

Jaco New and Evolved Data Structures


In our last post, we discussed the building blocks of data, where it comes from, and the basic terminology needed to understand how data will evolve over the coming years. One challenge moving is forward is re-imagining data as a tool across an organization. Let’s start with how many companies currently use their base data tools for a marketing campaign.


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The largest CRM platform in the world is Salesforce. It is one many of us are familiar with and many organizations use but the below applies to any of the popular CRMs on the market. Let’s look at the data flow from a lead prospecting or advertising campaign:


jaco data structures


Seems fairly simple doesn’t it? The basic premise is that we use existing data to build out audiences you can target your advertising towards. As campaigns perform, use the data from both winning and losing campaigns to build better informed, future campaigns. It’s a very effective model and not one that we should move away from. Many companies refer to this approach as look-alike or act-alike targeting.


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It’s an extremely smart approach but a bit narrow from a corporate perspective. In the above structure, your campaign analytics only stay within the marketing department. It is as if one of your legs knows that to get somewhere it has to move forward, while the other leg has not yet received that information. Ultimately, we either end up dragging the other leg along, but we can only go so far.. We need all of our limbs working in concert to get to wherever our destination may be.


So, let’s make the above flow a whole lot less narrow. Let’s use retail as a use case, because a very smart man once said, if it works in retail, it probably works everywhere.


jaco data tools


As you can see, the map has expanded by quite a bit. No longer are we confining our data to one segment of our company but mapping out data across the entirety of our company. Let’s apply the above map to a hybrid (digital/brick and mortar) retailer, HomeGoods. A customer, let’s call her Becca, walks into the store (either online or in person) and buys a set of copper bottom pots. Now Becca is unaware of it, but she is very similar to a whole lot of other customers and has set in motion numerous events that all occur simultaneously.


The inventory team needs to replace the pots Becca purchased. These were very popular pots, so thankfully, our DMP has informed the inventory system to keep more of those pot sets in the warehouse. Phew.


The product or operations team notices that these particular pots are selling like hot-cakes. So they start to sell pot scrubbers because all pots need to be cleaned. Maybe they expand the number of copper bottom pots they carry and bring in some more other brands to some higher and lower end price points.


The marketing team sees that copper bottom pots are a hot selling item and begin pushing those pots to audiences that look and act a lot like Becca. They can test extension lines or the different price points and report their findings back to the product team.


Our retailer is now a whole lot more agile. Obviously, the data applications here are significantly broader. Maybe different products are carried online vs. brick and mortar depending on purchase patterns and advertising performance. An important point to note is that this data structure used systems that are already in place. All we did was create a central point that automatically gives relevant data to the relevant teams to create a significantly more efficient and better performing organization.


Now that we’ve seen the evolution of data for a retailer, we’ll begin to expand into other verticals and add more data points. Check back again this week for the next article in our data series!


The Age of Agile Analytics

Steve BurgData1 Comment

Jaco Agile Analytics


To those of us who work in anything remotely related to technology, the next sentence should not be news. The digital era is changing how businesses function across every piece of their operation. Analytics platforms are giving us more access to data about our customers and potential customers than ever before at extremely affordable prices.


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While the above is quite obvious, let’s take this a step further. How can we re-imagine data as a tool across an organization? Can we use Google Analytics data to inform more than just the marketing team? Could product analytics inform finance? Not only are data based decisions the present and the future, but proper data application will make any business more efficient and thus more profitable.


In order for us to understand the data flow, we must first understand some basic terminology:


  • 1st Party Data: YOUR data. The best stuff. This can include data from behaviors, actions or interests demonstrated across your website(s); data you have in your customer retention management system (CRM); subscription data; social data; or cross-platform data from mobile web or apps.
  • 2nd Party Data: Someone else’s 1st party data. Really good stuff. Many times this is data from a publishing partner you are working very closely with and you ask for their user data to optimize different pieces of your company.
  • 3rd Party Data: Data you purchase from an outside source. Good stuff. Some of the most recognizable names in data leasing are Lotame, BlueKai, Experian, Nielsen, and there are a whole lot more.
  • DMP or UDMP: (Unified) Data Management Platform. Essentially, where you collect, store, and integrate all of the data you are collecting across all of your different analytics and CRM platforms.


You’ll notice that none of the data structures received a low grade. This is an extremely important point. Any 1st, 2nd, or 3rd party data you are going to get is going to be very useful to you in some way or another. Data is going to be the core building block that helps you make important decisions across your business. It will help you identify pain points, opportunities, bottlenecks, and other ways to optimize your company’s performance.


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The ability to use data as an informant across company sectors is something that will be a continuous theme here. This is the age of Agile Analytics. We, as companies, must have the flexibility, communication structure, and open minds to recognize the power that data can have on our organizations. However, leaders must open the minds of their department heads to enact these changes and ensure that the data we are using comes from an accurate, functional, and statistically relevant source.


So, as we progress through this series, we will look at the different ways major companies are already using Agile Analytics, different functions across different verticals, and hopefully map the way for your company to jump onto the Agile Analytics bandwagon. The next article in this series will focus on data structures from the advent of digital analytics and how those structures will evolve over the next ten years.

Jaco is Joining the WalkMe Team!

Danni FriedlandAbout Jaco, Company news0 Comments


We are thrilled to announce that Jaco will be joining the WalkMe team!


Two years ago we founded Jaco with the vision of helping companies better understand how users engage with their product. Since then, we’ve had the pleasure of working with some of the most innovative companies out there in various roles. We’ve worked with the product teams to help them optimize their UX flow. We’ve worked with support teams at various companies to reduce support ticket time.


There have been countless other implementations of the Jaco technology and I am so proud of the team here at Jaco for working diligently to ensure that our clients have always had the support they needed and for developing innovative solutions when our clients needed something more.


On that note, to our clients. Thank you, thank you, thank you. None of this is possible without you. You’ve helped to push us forward and allowed us to see how you use our product. This has helped us develop our product roadmap and create a clearer vision of where Jaco is heading.


So now the big question… Why join WalkMe? In my first meetings with Rafi Sweary (President of WalkMe) and Dan Adika (CEO of WalkMe), they showed me what the future of Jaco could be and what it should be. The collaboration between Jaco, which shows you how users use your product, and WalkMe, which ensures users are adopting your product, is seamless. We had countless discussions on how our data can be actualized into something real that our clients can use and realized that this was a perfect match.


And now to the future. Jaco will become a subsidiary of WalkMe as we integrate our two technologies.You’ll notice on our website we are now: Jaco, a WalkMe company. We will enter a phase of rapid growth; bringing more development, product, support, and marketing assets to Jaco. This will ensure that we can scale, evolve, and provide a better product than we ever could have on our own.


Culturally, our commitment to providing best in class support and products will not change. Excellence has long been a part of our culture and is a core tenet of the WalkMe team as well.


For those who are not familiar with WalkMe, they are the world’s first digital adoption platform. Using an innovative platform that combines adoption, insights, and engagement, WalkMe ensures that your customers and employees are using your digital platforms correctly, regardless of the device. They have grown at an astounding pace and we have a lot to learn from their success.


Our Israel team is already sitting at the WalkMe office in Tel Aviv, while I have moved into the San Francisco offices. WalkMe’s company atmosphere is electrifying and exciting, with innovation occurring in every single department.


This is an exciting milestone for myself personally and the entire team at Jaco. The next few months will be busy to say the least, but as before, my door is always open to our clients. Feel free to reach out with any questions you may have and I will gladly answer them.


And so, a toast: To the future, and the exciting innovations it will hold!

Customer Success Talk With Catherine Wells (Thinkific)

Danni FriedlandCustomer Success0 Comments

Catherine Wells feature

In our 5th “quick ones” article, we’re honored to interview Catherine Wells, the customer success manager at

Thinkific is a platform that helps people build, market and sell their online courses – without any pre-course building experience needed.

With customers ranging from individuals creating an online business as an extra gig, to full-time instructor and organizations – Thinkific needs to provide a positive and frictionless experience to all different levels of technical experience and different needs.

As a product that guarantees effortless course building that suits all, customer success is an essential necessity and core promise.

How does Catherine handle this challenge daily? Read her interview below to get the nitty gritty of being a customer success manager. Read More

Customer Success Talk With Helen Shaw (Unbounce)

Danni FriedlandCustomer Success, Interviews0 Comments

Helen Shaw Unbounce

In our 4th “quick round” article, we’re honored to interview Helen Shaw, a customer success manager at Unbounce.

Unbounce is the leading platform for building landing pages. Thanks to its easy to use interface and pre-made templates, even non-technical marketers can create high converting landing pages in no time.

If you’ve ever used Unbounce, you’ve experienced how well-thought out and how much they care about their relationship with their users.

Want to learn how Unbounce utilize customer success techniques through their entire user’s life cycle? Read Helen’s answers below to see how deep the process goes.

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Refactoring JSON to FlatBuffers

Alex PuschinskyProduct Manager, technical1 Comment

Refactoring JSON to FlatBuffers

Data serialization is a very common process in web applications. So common that no one gives it a second thought. You just pull data from the DB, and your server and client frameworks just handle this thing for you. The server serializes the data into JSON, and the client parses it to JS object. This flow is simple and natural but, as everything, when taken to the extreme start to show scaling issues.

What is an ‘extreme’ for data serialization? A lot of data. Serializing and deseriazling tens of thousands of objects takes it toll from the server, and more importantly, from the single-threaded browser page.

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Uncover User Insights with This Step by Step Guide to Installing Jaco

Danni FriedlandAbout Jaco, Company news, Onboarding, User Experience0 Comments

Adding a new tool to your toolkit is always fun, but it’s also a cluttered process that gets pushed back because other, more urgent tasks pop up.

We’ve put a lot of effort into simplifying Jaco’s installation process and making it as quick and intuitive as possible.

To make our installation process as smooth as possible, I created a new video showing how to install Jaco in under 2 minutes!

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Does Your Onboarding Suck? Here’s How To Make It Amazing

Danni FriedlandCustomer Success, Onboarding, Product Manager, User Experience, User testing1 Comment

A customer just signed up for your product and is giving you the chance to give him a good first impression. In that moment, you have to make sure you set their expectations high and communicate with them how your product can meet their goals.

Not only does the first impression need to be a smooth experience, it should also be engaging. If they signed up, tried out your product, and never came back, you lost them forever.

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