By accounting for both known and unknowable factors, managers can identify salespeople with traits that work best in different types of sales. Getty Images

When you're a manager, decisions barrage you each day. What product works? Which store layout entices? How will you balance the budget? Many of these decisions ultimately hinge on one factor: the skills of your sales force.

Often, when managers evaluate their salespeople they contend with invisible factors that may not show up in commissions or name-tagged sales rosters — intangibles such as product placement, season or simply a store's surrounding population. This makes it hard to fully evaluate a salesperson, or to spot which workers can teach valuable skills to their peers and improve the whole team.

But what if you could plug a few variables into a statistical model to spot your best sellers? You could then ask the star salespeople to teach coworkers some of their secrets. New research by Rice Business professor Wagner A. Kamakura and colleague Danny P. Claro of Brazil's Insper Education and Research Institute offers a technique for doing this. Blending statistical methods that incorporate both known and unknown factors, Kamakura and Claro developed a practical tool that, for the first time, allows managers to identify staffers with key hidden skills.

To test their model, the researchers analyzed store data from 35 cosmetic and healthcare retail franchises in four South American markets. These particular stores were ideal to test the model because their salespeople were individually responsible for each transaction from the moment a customer entered a store to the time of purchase. The salespeople were also required to have detailed knowledge of products throughout each store.

Breaking down the product lines into 11 specific categories, and accounting for predictors such as commission, product display, time of year and market potential, Kamakura and Claro documented and compared each salesperson's performance across products and over time.

They then organized members of the salesforce by strengths and weaknesses, spotlighting those workers who used best practices in a certain area and those who might benefit from that savvy. The resulting insight allowed managers to name team members as either growth advisors or learners. Thanks to the model's detail, Kamakura and Claro note, managers can spot a salesperson who excels in one category but has room to learn, rather than seeing that worker averaged into a single, middle-of-the-pack ranking.

If a salesperson is, for example, a sales savant but lags in customer service, managers can use that insight to help the worker improve individually, while at the same time strategizing for the store's overall success. Put into practice, the model also allows managers to identify team members who excel at selling one specific product category — and encourage them to share their secrets and methods with coworkers.

It might seem that teaching one employee to sell one more set of earbuds or one more lawn chair makes little difference. But applied consistently over time, such personalized product-specific improvement can change the face of a salesforce — and in the end, a whole business. A good manager uses all the tools available. Kamakura and Claro's model makes it possible for every employee on a sales team to be a potential coach for the rest.

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This story originally ran on Rice Business Wisdom.

Based on research from Wagner A. Kamakura, the Jesse H. Jones Professor of Marketing at Jones Graduate School of Business at Rice University.

Keeping on track with trends is crucial to growing and developing a relationship with your customers, these Rice University researchers found. Getty Images

Rice researcher delves into the importance of trendspotting in consumer behavior

Houston voices

Every business wants to read consumers' minds: what they love, what they hate. Even more, businesses crave to know about mass trends before they're visible to the naked eye.

In the past, analysts searching for trends needed to pore over a vast range of sources for marketplace indicators. The internet and social media have changed that: marketers now have access to an avalanche of real-time indicators, laden with details about the wishes hidden within customers' hearts and minds. With services such as Trendistic (which tracks individual Twitter terms), Google Insights for Search and BlogPulse, modern marketers are even privy to the real-time conversations surrounding consumers' desires.

Now, imagine being able to analyze all this data across large panels of time – then distilling it so well that you could identify marketing trends quickly, accurately and quantitatively.

Rice Business professor Wagner A. Kamakura and Rex Y. Du of the University of Houston set out to create a model that makes this possible. Because both quantitative and qualitative trendspotting are exploratory endeavors, Kamakura notes, both types of research can yield results that are broad but also inaccurate. To remedy this, Kamakura and Du devised a new model for quickly and accurately refining market data into trend patterns.

Kamakura and Du's model entails taking five simple steps to analyze gathered data using a quantitative method. By following this process of refining the data tens or hundreds of times, then isolating the information into specific seasonal and non-seasonal trends or dynamic trends, researchers can generate steady trend patterns across time panels.

Here's the process:

  • First, gather individual indicators by assembling data from different sources, with the understanding that the information is interconnected. It's crucial to select the data methodically, rather than making random choices, in order to avoid subjectively preselecting irrelevant indicators and blocking out relevant ones. Done sloppily, this first step can generate misleading information.
  • Distill the data into a few common factors. The raw data might include inaccuracies, which must be filtered out to lower the risk of overreacting or noting erroneous indicators.
  • Interpret and identify common trends by understanding the causes of spikes or dips in consumer behavior. It's key to separate non-cyclical and cyclical changes, because exterior events such as holidays or weather can alter behavior.
  • Compare your analysis with previously identified trends and other variables to establish their validity and generate insights. Looking at past performance through the filter of new insights can offer managers important guidance.
  • Project the trend lines you've identified using historical tracking data and their modeling framework. These trend lines can then be extrapolated into near-future projections, allowing managers to better position themselves and be proactive trying to reverse unfavorable trends and leverage positive ones.

It's important to bear in mind that the indicators used for quantitative trendspotting are prone to random and systematic errors, Kamakura writes. The model he devised, however, can filter these errors because it keeps them from appearing across different series of time panels. The result: better ability to identify genuine movements and general trends, free from the influence of seasonal events and from random error.

It goes without saying that the information and persuasiveness offered by the internet are inevitably attended by noise. For marketers, this means that without filtering, some trends show spikes for temporary items – mere viral jolts that can skew market research.

Kamakura and Du's model helps sidestep this problem by blending available historical data analysis, large time panels and movements while avoiding errors common to more traditional methods. For managers longing to glimpse the next big thing, this analytical model can reveal emerging consumer movements with clarity – just as they're becoming the future.

(For the mathematically inclined, and those comfortable with Excel macros and Add-Ins, who want to try trendspotting on their own tracking data, Kamakura's Analytical Tools for Excel (KATE) can be downloaded for free at http://wak2.web.rice.edu/bio/Kamakura_Analytic_Tools.html.)

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This article originally appeared on Rice Business Wisdom.

Wagner A. Kamakura is Jesse H. Jones Professor of Marketing at Jones Graduate School of Business at Rice University.

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Oxy's $1.3B Texas carbon capture facility on track to​ launch this year

gearing up

Houston-based Occidental Petroleum is gearing up to start removing CO2 from the atmosphere at its $1.3 billion direct air capture (DAC) project in the Midland-Odessa area.

Vicki Hollub, president and CEO of Occidental, said during the company’s recent second-quarter earnings call that the Stratos project — being developed by carbon capture and sequestration subsidiary 1PointFive — is on track to begin capturing CO2 later this year.

“We are immensely proud of the achievements to date and the exceptional record of safety performance as we advance towards commercial startup,” Hollub said of Stratos.

Carbon dioxide captured by Stratos will be stored underground or be used for enhanced oil recovery.

Oxy says Stratos is the world’s largest DAC facility. It’s designed to pull 500,000 metric tons of carbon dioxide from the air and either store it underground or use it for enhanced oil recovery. Enhanced oil recovery extracts oil from unproductive reservoirs.

Most of the carbon credits that’ll be generated by Stratos through 2030 have already been sold to organizations such as Airbus, AT&T, All Nippon Airways, Amazon, the Houston Astros, the Houston Texans, JPMorgan, Microsoft, Palo Alto Networks and TD Bank.

The infrastructure business of investment manager BlackRock has pumped $550 million into Stratos through a joint venture with 1PointFive.

As it gears up to kick off operations at Stratos, Occidental is also in talks with XRG, the energy investment arm of the United Arab Emirates-owned Abu Dhabi National Oil Co., to form a joint venture for the development of a DAC facility in South Texas. Occidental has been awarded up to $650 million from the U.S. Department of Energy to build the South Texas DAC hub.

The South Texas project, to be located on the storied King Ranch, will be close to industrial facilities and energy infrastructure along the Gulf Coast. Initially, the roughly 165-square-mile site is expected to capture 500,000 metric tons of carbon dioxide per year, with the potential to store up to 3 billion metric tons of CO2 per year.

“We believe that carbon capture and DAC, in particular, will be instrumental in shaping the future energy landscape,” Hollub said.

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This article originally appeared on our sister site, EnergyCapitalHTX.com.

New app by Sports Illustrated grants access to 700 sports courts in Houston

Goal!

A new sports center booking app CatchCorner, powered by Sports Illustrated, enables sports enthusiasts in Houston to seamlessly secure a spot for a quick game without membership fees.

It soft-launched in Houston this spring and, according to co-founder and chief operating officer Maya Azouri, has been a huge success.

"The Houston expansion has been jaw-dropping," she said. "Up until now, CatchCorner’s launch in New York City had been our most successful market, but Houston has launched on par with it."

Within a 30-day period this summer, over 30,000 users join the app, Azouri noted, adding that the app would include 700 unique recreational spaces users can choose from in the city.

"There’s a real sports culture here, with athletes of all levels from casual weekend players to competitive amateurs and even pros. The diversity of the sports community, combined with the number of high-quality facilities across the city, makes it a perfect fit for CatchCorner," she said.

CatchCorner in Houston offers bookings for basketball, volleyball, soccer, pickleball, padel, baseball, badminton, and tennis, with plans to include golf simulators and ice rink sports soon. The Zone Sports, Toros HTX, PAC Gym, and Houston Pickleball Center are among the most popular venues.

Using the app is a snap. Once you pick your sport, venues with available slots are listed including distance from you with the booking schedules in the results so there are no surprises. The slots can go fast, so occasional error messages pop up when trying to book, but it's otherwise a three-click process. CatchCorner also helpfully includes a picture of the facilities while booking.

CatchCorner announced Google integration in June that lets users book through the app directly from searches when they look up specific venues. This is slightly less intuitive to use than the app, but it does ultimately work in both mobile and desktops versions. Either way, it greatly streamlines the booking process for people who just want to schedule a quick pickup game somewhere.

"It’s especially useful for casual players or people who want to organize something on short notice," said Azouri. "Whether it’s a weekend basketball run, a weekday futsal match, or a spontaneous pickleball game with friends, CatchCorner makes it easy to coordinate without the usual logistical headaches.

"Some feedback here has been that we’re like 'Expedia for sports.' It’s because booking a flight online is that easy, booking your next game or workout should be just as simple."

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This article originally appeared on CultureMap.com.