What if we told you we could help you Think Ahead to predict the future of your business?

At Linx, we utilize our experience and expertise combined with artificial intelligence to deliver an accurate vision of your company’s future so you can operate your business with certainty. As technology continues to excel at an exponential rate, we are able to discover insights from information never before accessible. That data, combined with our strategic creativity and insight, allow us to create more personalized experiences for your customers, maximize your marketing ROI, and increase your sales.

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Try One of Our Predictive Models Now!

Test our Market Expansion Model or Our Budget Adjustment Model

These predictive models were designed to show what predictive marketing can do on a very small scale, so you can see Predictive Marketing in action! Connect with us for complex predictions and modeling that can improve your marketing and sales performance, save you thousands in media dollars, transform your business and give you the answers to the questions you’ve been searching for.

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Step 1

Choose your Predictive Model
or try both!

Step 2

Download template and
fill your data information

Step 3

Upload template and watch
the magic happen

You’ve been running some digital marketing campaigns, and you’ve been tracking their performances. You notice that some campaigns are performing better than others. Do you wonder by how much your revenue would change if you shift your budget while keeping your total spending constant?

Here's what your data can tell you...

  • If you keep your budget the same but shift a percentage of dollars away from your worst campaigns to your top 25% performing campaigns, by how much will your total revenue increase?

You’ve marketed your product in different states or market areas. Do you wonder what your return will be if you marketed in new areas? Is there a specific area with demographics that are “just right” to optimize your return?

Here’s what your data can tell you…

  • Which markets will provide our company the highest growth opportunity, based on the various demographical information characterizing each market?
  • If I sell through representatives (one type of demographical information), which markets should I add my new reps to maximize their sales potential, and how much sales would they do in those markets?

How do you do it?

First, our data analysts pull data from multiple sources like your sales and campaign performance metrics, along with third-party sources. We then use human and artificial intelligence to understand patterns and predict trends that exist in your industry, business, and customer behaviors.

Then, we use the modeling insights with our marketing knowledge to run experiments to test our predictions through marketing tactics and implement the proven results to improve marketing performance and success, and guide better decision making.

Here are some of our predictive modeling techniques…

  • Prediction

    We can use Regression Models, which is intended to predict quantitative variables, such as sales. For example, predicting the amount of revenue or sales in new markets or predicting the amount of unit sold for different demographics. Or, Classification Models, which is intended to predict, flag, and classify potential lead opportunities. For example, we can flag customers which would become leads or identity dead-end opportunities that would never convert to cut costs and efforts.

  • Statistical Insights

    With these insights we can calculate descriptive statistics on the data set at various levels of granularity. For example, we can provide campaign performance metrics (such as conversion rates by campaign, the probability of a sale by product, the proportion of a certain demographic that will convert, etc.) for a very targeted demographic. By calculating the confidence in those estimates, we can decide which metric to capitalize on and make decisions off of.
  • Clustering

    With clustering, we use automated models and methods to identify distinct groups within your data. For example, we can analyze behavioral data from the responses of leads to an email campaign to categorize them into unique groups based on the way they interact with those emails. This allows you to better understand the different types of leads you're interacting with and tailor your marketing efforts specifically to them.