TARGETED MARKETING MODELING
CUSTOM UPLIFT MODELING
AUDIENCE SYNERGY MODELING

Our custom set of econometric models using proprietary algorithms which are bedded in advanced statistical techniques and machine learning, so as to identify the customers that will maximize the revenue of a specific marketing effort – such as a catalog, flyer, or postcard.

Our custom set of incremental models using proprietary algorithms with our most advanced techniques to identify customers who are (and those who are not) most influenced by a specific marketing effort.

Our suite of custom models that identify a customer’s value across concepts such as channel, product line, and seasonality, which allows for the creation of hyper-specific audiences for more dynamic marketing channels – such as email or online display.

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Purpose
Our most popular modeling solution that allows marketers to select the best customers to receive a marketing effort to maximize response or revenue attributed to a specific effort or a series of efforts

Customer Segments
House file for retention, reactivation, cross-sell, and prospecting into non-buyers

Marketing Channels
Relatively high-cost channels like print, specifically catalogs, flyers, postcards, and other direct mail pieces

Typical Uses

  • Select the customers that are most likely to purchase from Spring Home Collection Preview catalog or from the Spring Home series
  • Select the lapsed customers that are most likely to reactivate if mailed the Camping catalog
  • Identify the customers that have only bought women’s casual clothing but who would be most likely to purchase from a fall men’s catalog
  • Identify non-buyers, such as ship-to customers, catalog requesters, or customers on an outside list, who would be most likely to convert to a buyer after receiving the Holiday Hardgoods catalog

Cost
$$

Learn More About Customer Targeting

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Purpose
Our most advanced and sophisticated modeling approach that lets marketers choose the best customers to receive a marketing effort in order to produce incremental response or revenue, maximizing your marketing ROI by identifying which customers need a push to respond and which ones don’t

Customer Segments
House file for retention

Marketing Channels
High-cost, high-volume, frequent cadence print, like catalogs

Typical Uses

  • Identify which customers would only purchase if they receive the Spring Women’s Drop 1 catalog and identify which customers would buy anyway
  • An advanced use would be to drive a contact strategy effort to identify which efforts a customer needs in a series of campaigns over time

Cost
$$$

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Purpose
Our most cost effective and versatile product offering that gives marketers the ability to quickly and easily identify hyper-specific audiences based on modeled characteristics for elements such as near-term value, channel preference, seasonality, product propensities, etc., as well as allow for the personalization of a marketing effort or the website experience

Customer Segments
House file for retention, reactivation, cross-sell and new customer acquisition through lookalike models

Marketing Channels
Relatively low-cost/high-volume digital marketing channels, email, online display ads, Google Customer Match (Search, Shopping tab, Gmail, YouTube, and Display), Facebook; relatively low-cost/general messaging print such as postcards, trifolds, and flyers

Typical Uses

  • Make customer selects for three weekly email blasts with an average of five different versions per campaign
  • Facebook lookalike model to feed their algorithm a representation of a specific customer segment for acquisition
  • Make customer selects for a last-minute promotional postcard to your “best” customers

Cost
$

TARGETED MARKETING MODELING

Our custom set of econometric models using proprietary algorithms which are bedded in advanced statistical techniques and machine learning, so as to identify the customers that will maximize the revenue of a specific marketing effort – such as a catalog, flyer, or postcard.

Learn More

Purpose
Our most popular modeling solution that allows marketers to select the best customers to receive a marketing effort to maximize response or revenue attributed to a specific effort or a series of efforts

Customer Segments
House file for retention, reactivation, cross-sell, and prospecting into non-buyers

Marketing Channels
Relatively high-cost channels like print, specifically catalogs, flyers, postcards, and other direct mail pieces

Typical Uses

  • Select the customers that are most likely to purchase from Spring Home Collection Preview catalog or from the Spring Home series
  • Select the lapsed customers that are most likely to reactivate if mailed the Camping catalog
  • Identify the customers that have only bought women’s casual clothing but who would be most likely to purchase from a fall men’s catalog
  • Identify non-buyers, such as ship-to customers, catalog requesters, or customers on an outside list, who would be most likely to convert to a buyer after receiving the Holiday Hardgoods catalog

Cost
$$

 Learn More About Customer Targeting

CUSTOM UPLIFT MODELING

Our custom set of incremental models using proprietary algorithms with our most advanced techniques to identify customers who are (and those who are not) most influenced by a specific marketing effort.

Learn More

Purpose
Our most advanced and sophisticated modeling approach that lets marketers choose the best customers to receive a marketing effort in order to produce incremental response or revenue, maximizing your marketing ROI by identifying which customers need a push to respond and which ones don’t

Customer Segments
House file for retention

Marketing Channels
High-cost, high-volume, frequent cadence print, like catalogs

Typical Uses

  • Identify which customers would only purchase if they receive the Spring Women’s Drop 1 catalog and identify which customers would buy anyway
  • An advanced use would be to drive a contact strategy effort to identify which efforts a customer needs in a series of campaigns over time

Cost
$$$

AUDIENCE SYNERGY MODELING

Our suite of custom models that identify a customer’s value across concepts such as channel, product line, and seasonality, which allows for the creation of hyper-specific audiences for more dynamic marketing channels – such as email or online display.

Learn More

Purpose
Our most cost effective and versatile product offering that gives marketers the ability to quickly and easily identify hyper-specific audiences based on modeled characteristics for elements such as near-term value, channel preference, seasonality, product propensities, etc., as well as allow for the personalization of a marketing effort or the website experience

Customer Segments
House file for retention, reactivation, cross-sell and new customer acquisition through lookalike models

Marketing Channels
Relatively low-cost/high-volume digital marketing channels, email, online display ads, Google Customer Match (Search, Shopping tab, Gmail, YouTube, and Display), Facebook; relatively low-cost/general messaging print such as postcards, trifolds, and flyers

Typical Uses

  • Make customer selects for three weekly email blasts with an average of five different versions per campaign
  • Facebook lookalike model to feed their algorithm a representation of a specific customer segment for acquisition
  • Make customer selects for a last-minute promotional postcard to your “best” customers

Cost
$

WHY TRICISION

Tricision is the leading marketing analytics firm specializing in customer targeting services that empower marketers to maximize their objectives. We create custom models that identify the ideal customers to receive a given marketing effort, whether it be from traditional print channels such as catalogs, flyers, or postcards, or a wide variety of digital channels, like email, online display ads, or social media.

BIG DATA

We know data – whether it’s your own first-party data or third-party data, we’re experts at extracting the most value from it. Our strong focus on the quality and integrity of the data we process comes from knowing that better data drives better decisions. We have created systems that load and analyze your data for quality and integrity, which allows us to spend our time focused on what decisions to make with the data rather than on what decisions to make about the data.

ADVANCED ANALYTICS

We have honed our proprietary algorithms over the course of more than 20 years using concepts from mathematics, statistics, economics, and machine learning. Our efficiency with data also extends to our custom models – the algorithms and techniques we’ve developed allow for extremely effective custom models for every significant campaign. Our extensive knowledge in test design and analysis enables us to continuously improve and inform our modeling process to deliver the highest quality results.

BUSINESS ACUMEN

Our extensive business experience allows us to incorporate and inject business intelligence, business objectives, and more, directly into the model – whether gained through testing, insights, or driven by strategic initiatives. We understand the consumer and their behaviors, knowing how they interact with your unique brand, unique demographic, or unique products. We’ve seen it all, from small brands to large global brands, women’s casual clothing to chainsaws, low-ticket items to luxury items .

Leadership Team

Scott Carl

Principal and CEO

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Scott is a recognized leader in the application of analytics to marketing, with over 30 years of vast experience across direct marketing, e-commerce, retail, CPG, non-profit organizations, and the government sector. He has a broad range of analytical proficiency including forecasting, econometric modeling, predictive analytics, experimental design, and optimization technologies, while specializing in customer targeting, advertising effectiveness, and marketing strategy. Prior to founding Tricision Inc. in 2000, Scott was VP of Marketing for Outpost.com, and Director of Applied Statistics for Marketing Analytics (now Nielsen). He holds a Bachelor of Science degree in Mathematics and a Master of Science degree in Management Science and Statistics. Scott possesses a deep passion for utilizing analytical techniques to convert data into profitable outcomes for his clients.

Josh Cox

Head of Analytics

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Josh has almost 20 years of experience working in the direct marketing space, most recently coming from a large, multi-billion dollar omni-channel retailer focused on the outdoors where he led the advanced analytics and data sciences teams. Specializing in customer and marketing analytics, he also has had a wide array of experience across a variety of disciplines, including merchandising analytics such as demand forecasting, price optimization, and assortment planning, and digital analytics like A/B split testing, website personalization, and product recommendations. With an educational background in mathematics, economics, and statistics, Josh has a knack for applying practical, effective solutions to complex business problems, which drive him to help businesses accomplish their objectives.

Denis Bashtovoi

Head of Data and Operations

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Denis has more than 20 years of experience across IT, data science, and marketing at a Fortune 500 omni-channel retailer, starting out as a developer and ultimately working his way up to an executive leadership role. He has a broad range of skills and experience, including proficiency in many programming languages. Denis successfully led the technical integration of two websites – with a combined $1 billion in annual revenue – into a single platform after a merger/acquisition. He excels in data management, data engineering, and operational efficiencies ranging from traditional databases to the most advanced big data environments. With his educational background in computer science and MBA, Denis is passionate about integrating systems, big data, and using data and analytics to solve novel business problems.

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