Reach Analytics Adds The Fastest, Easiest Way To Maintain Your Marketing Database To Its Self-Service Predictive Marketing Cloud
REDWOOD CITY, CA, July 11, 2018 /PRNewswire/ — Reach Analytics, the leading predictive marketing company for brands and agencies, today announced the launch of an innovative new data cleansing product called “Reach Integrity” as well as significant updates to its market-leading predictive cloud for brands, agencies and not-for-profits.
The introduction of Reach Integrity in the Reach Predictive Cloud opens many doors for brands and agencies alike. Now, brand and agency marketers can use Integrity to easily ensure that they are targeting consumers with highly accurate data and not wasting marketing efforts on bad names.
The Reach Integrity check was designed to combat marketers’ fight against ghost records, records with inaccurate, outdated or false data. Marketing lists can contain upwards of 30% ghost records which can seriously degrade your campaigns ROI. When a person doesn’t live at the address you have in your marketing file, then marketing spend is wasted. Reach Integrity was designed to prevents this wastage, without involving large data science teams, instead giving marketers an easy, one-click way to run a data checks.
About Reach Integrity
- Reach Integrity is a database integrity check that runs over and above the standard National Change of Address (NCOA) processing, letting marketers identify and suppress ghost records and fill-in data from mailing lists, quickly and more completely.
- It’s a proprietary solution integrated into the Reach Predictive Cloud that quickly and identifies people in acquisition or prospect mail files, lapsed buyer file or prior subscriber files, or older contact lists that are likely to not be at the associated address.
- Once identified, these records can be eliminated from your campaign to significantly boost ROI.
- Ensures clean data and the best results out of every marketing campaign.
“After years of testing record integrity and analyzing the performance of hundreds of campaigns, we know that ghost records perform poorly,” said Bruno Delahaye, CEO at Reach Analytics. “Bad data drags down overall response rates and throw hard-won marketing dollars out the window.”
Alongside Integrity Reach has launched other exciting new features to greatly enhance the Reach Predictive Cloud experience for users, including: ordering prospects directly from response models – a feature previously only available for look-alike models -; printing and saving reports as PDFs; and creating your own white label instances.
The Reach Predictive Marketing Cloud: New Product Enhancements
- Reach Integrity. Allows marketers to get the most out of every direct mail campaign by going above and beyond standard NCOA processing, letting marketers identify and suppress ghost records and fill-in data from mailing lists, quickly and more completely.
- Advanced Selection. Apply additional filters (income range, age, marital status, presence of children in household, homeowner status, geography) or suppression lists to your list order.
- White Label. A custom cloud instance using house data unique to your organization. This custom instance will sit on and use your organization’s house data in place of Reach data for wrangling and modeling in the predictive cloud.
- Match by Household ID. Use custom matching algorithms to match by Household IDs instead of names and addresses. This leads to an exact match of the household for both look-alike and response models.
- Order Prospects From Database for Response Modeling. Similar to look-alike models, you can now “Order Prospects” from the database in addition to scoring your list.
Custom Reporting. Select favorite charts and graphs to be viewed in a Custom Report that can be saved, printed and shared.
- Multiple Input File Upload. The Reach platform now supports multiple input files to build a model.
- Download Charts on Predictive Profile Dialog Box’s Chart View. Download graphs and charts from the predictive profile for easy sharing.
“As a company, Reach is really focused on providing a user experience specifically for marketers that provides them powerful solutions and is easy to use,” said Chandra Pisupati, VP of Engineering at Reach Analytics. “We’re excited to deliver this new best-in-class database integrity check process along with a group of great enhancements that our users have been asking for, and are going to love, as it improves their workflow day-to-day.”
The Reach predictive cloud offers brands and agencies something they’ve never had access to before, specifically the ability to create predictive profiles of customers and prospects, in real-time—and automates the entire predictive marketing process end-to-end – from data wrangling, to algorithmic modeling, to profile reports and scoring, without needing to involve large teams of data scientists.
Users can simply upload a list of names and physical addresses, or emails, and the platform cleans, households, de-dupes, and appends data in minutes. This allows marketers to input past campaign results, build models, get customer and responder profiles, and access top prospects or responders in a couple minutes from scratch.
The addition of Integrity alongside other updates significantly expands the platform’s capabilities and can be used by marketers to increase engagement rates with prospects and customers. The new features strengthen the platform’s existing look-alike and response modeling capabilities, giving marketers peace-of-mind that their customer data is up-to-date and they’re getting the very best results for campaigns using optimal campaign targeting.
Designed specifically for marketers in customer acquisition and retention, the Reach Analytics predictive marketing platform lets consumer marketers uncover insights about their customers and find prospects faster, easier and more accurately than ever before.
REDWOOD CITY, Calif., March 22, 2018 /PRNewswire/ — Reach Analytics, the leading provider of self-service predictive marketing for brands, agencies and nonprofits today announced a partnership with V12 Data, providing them Reach’s real-time predictive modeling platform.
V12 Data is an omnichannel data powerhouse, and the industry leader in automotive data, who powers the right connections through the right channels at the right time with their market-leading data solutions, real time technologies and powerful analytics.
Due to growing market demand, V12 Data sought to enhance their predictive modeling system to improve the cycle time, from days to minutes, to provide custom audiences particularly in the digital ecosystem. With Reach’s predictive marketing platform, V12 Data will be better able to find net-new customers and identify top responders to optimize and refine omnichannel campaigns over time and drastically improve key metrics like: total customers acquired, campaign response rates, cost of customer acquisition, and overall campaign ROI.
In particular, the predictive platform will allow V12 to greatly improve their offline audience modeling process and convert it from highly manual to a real-time, automated, end-to-end predictive system.
Reach was chosen from a selection of multiple competitive vendors after a thorough search. V12 conducted reviews of platform architecture and ran tests with live data. After a rigorous analysis, Reach was ultimately chosen because of its real-time modeling, end-to-end automation, use of AI decisioning, best-in-class wrangling and intuitive visual reporting.
“Reach impressed us with their platform as an easy-to-use, automated solution in the cloud, that could tackle all our requirements,” said Todd Dziedzic, VP of Analytics at V12 Data. “To cut cycle time, we needed more than just powerful modeling. We needed a true end-to-end predictive marketing option that also wasn’t heavy and cumbersome to use. Reach fit the bill entirely.”
Reach’s predictive platform produces ideal consumer and prospect profiles, making prospect information instantly available for download based off of the results. V12 Data customers can now leverage Reach’s predictive marketing platform to rapidly build profiles using their current V12 data and segmentation strategy of choice – per product line, per geography (zip, state or region), per channel, per store, per purchase type (online vs. offline; high average purchase), etc.
“With self-service predictive marketing, V12 is greatly boosting their ability to provide fast, accurate predictive modeling and improve campaign results for clients,” said Bruno Delahaye, CEO at Reach Analytics. “The combination and power of great data and a true end-to-end predictive solution means great results for consumer marketers.”
Reach Analytics’ cloud-based predictive marketing software is available for white label licensing for brands, agencies and nonprofits, and offers eligible partners the ability to plug in any data set and run real-time predictive marketing, using their own first-party data. In minutes, a Reach white label cloud creates profiles with sophisticated data wrangling and state-of-the-art machine learning technology without the need for large teams of data scientists.
Designed for brands, and new customer acquisition, the Reach Analytics predictive intelligence platform lets consumer marketers uncover insights about their customers and find prospects faster, easier and more accurately than ever before.
The Reach predictive cloud offers brands and agencies something they’ve never had access to before—the ability to input data, create predictive profiles and get visual customer and prospect reports and transparent, direct access to consumer data and contact info for your best prospects—all in real-time, without needing to wrangle data or involve data scientists.
REDWOOD CITY, Calif., Feb. 12, 2018 /PRNewswire/ — Reach Analytics, the leading provider of automated predictive marketing for brands, today announced being chosen by GrowFit as their predictive marketing platform – helping them advance their capabilities in customer acquisition through direct and digital channels.
GrowFit, a children’s health, wellness and fitness company, offers programs and physical education to children ages two to thirteen. Their game-based approach allows children to learn about teamwork and sportsmanship, build age-appropriate skills and gain confidence while having fun.
For this campaign, the goal was to bring in new signups for GrowFit’s sports programs. To achieve this goal and outperform their current benchmarks, GrowFit needed a clearer picture of who their members were so that they could effectively identify and target their best prospects.
GrowFit was eager to add a direct mail approach for their new campaign, since they had never used direct mail before, while continuing to use social media and email outreach which they had used for their previous campaigns.
They hoped that building predictive profiles of their top prospects would help them gain access to a large pool of more targeted prospects and enable rapid new customer acquisition across omni-channel campaigns. In order to measure the effectiveness of the predictive targeting, GrowFit measured net-new customer acquisition and ROI.
GrowFit chose Reach’s predictive technology to gain the power to analyze hundreds of variables and characteristics for a dynamic view of their current customers and their best prospects.
Reach’s automated cloud predictive platform enabled the brand to identify top prospects who look most like their current clients in order to target them with omni-channel campaigns. With Reach, GrowFit was able to build a look-alike model and pull a list which they have been using for quarterly campaigns. The self-service platform creates profiles in minutes, without needing to wrangle data or involve large teams of data scientists. To produce each profile, the Reach platform builds hundreds of predictive models behind the scenes and algorithmically scores the prospect universe with the model to identify top prospects.
“We didn’t know enough about our customers, all we knew was that they all had children in the household,” said Ashley Schildwatcher, Director of Sports Program at GrowFit. “Reach’s look-alike modeling has helped us launch our first of many direct mail campaigns.”
The new predictive-based campaign was a considerable success. GrowFit experienced a 100% increase in new customer sign ups following their initial campaign.
The targeted omni-channel campaign acquired 50% more net-new clients in the first week than GrowFit’s previous, non-targeted methods, and 40% more year-over-year in customer acquisition with a majority attributed to Reach’s predictive platform. The brand ultimately saw 130% ROI after the first month of the campaign.
Initial response rates were so high that campaign costs were covered and positive ROI was established within a month of the first campaign to this predictive-targeted audience.
“Data can make or break your marketing campaigns,” said Ben Barenholtz, VP of Marketing at Reach Analytics. “A lot of marketers still aren’t accurate enough with their targeting to make their campaigns successful and that’s a costly mistake. The best, most successful campaigns get attention because they are laser-targeted, engaging and they build brand awareness.”
The Reach predictive cloud offers brands and agencies something they’ve never had access to before—the ability to create predictive profiles in real-time, without needing to wrangle data or involve data scientists.
Designed for brands and new customer acquisition, the Reach Analytics predictive intelligence platform lets consumer marketers uncover insights about their customers and find prospects faster, easier and more accurately than ever before.
REDWOOD CITY, Calif., Jan. 9, 2018 /PRNewswire/ — Reach Analytics, the leading provider of predictive marketing for brands, agencies and non-profit organizations, today announced a bevy of new fall customers including brands and agencies such as: Salem One, Fry Communications, The Smithsonian Institution, RPM Direct Marketing, Trumaker, and more.
Fry Direct, the direct mail division of Fry Communications, Inc., is helping customers improve their target prospect pool through sophisticated look-alike and response modeling. Fry Direct values the ability to quickly evaluate prospect and customer names, so that their clients are sure to target the best responders in their direct marketing campaigns.
Salem One, Inc., is one of the largest print, packaging, direct marketing, and logistics agencies in the Southeast. Salem One helps their brand clients create on-target direct communication strategies. With the Reach Analytics predictive marketing platform in their technology stack, Salem One is looking forward to providing clients with market-leading data wrangling and algorithmic predictive modeling, in real-time, to significantly improve consumer targeting and increase campaign ROI.
RPM Direct Marketing, a direct mail & direct marketing agency based in Seattle, is combining Reach’s look-alike and response modeling tools to identify the best targets nationwide on behalf of clients. With the Reach platform, they are able to quickly analyze past campaign results to identify characteristics of top responders and then expand their audience with look-alike modeling based on those responders.
“Even in the age of digital advertising, targeting the right people is a major challenge for brands and agencies. Wasting marketing on even a portion of wrong recipients undermines marketing ROI and can kill results,” said, Bruno Delahaye, CEO of Reach Analytics. “The explosive growth of our predictive cloud business in 2017 is a testament to the value of easy, cloud-based predictive targeting for new customer acquisition and response optimization.”
With Reach’s AI-assisted consumer targeting capabilities at their fingertips, companies can now quickly and easily identify their total addressable market, reach top prospects, and better reactivate lapsed customers. The Reach platform empowers marketers and reduces reliance on manual data science by providing teams with automated, cloud-based algorithmic predictive modeling and best-in-class data wrangling—a proprietary process of cleansing, deduplication, householding and enriching first and third-party data—and clear, visualized data reports.
Reach Analytics Adds Automated Response Modeling Capabilities to Its Self-Service Predictive Marketing Platform, and Updates UI
Redwood City, CA – March 21, 2017 /PRNewswire/ – Reach Analytics, the leading predictive platform for marketing teams, today announced the launch of new-to-market automated response modeling capabilities. The new features are now live and available for use by marketers to increase campaign response rates. The company also announced a redesigned user experience that makes getting insights and taking action even faster and more intuitive than before.
The introduction of response modeling means the Reach platform can now identify the people most likely to respond positively to a campaign by analyzing past campaign results in conjunction with the platform’s 600+ household variables.
The mid-market predictive platform is the first of its kind, giving consumer-facing marketers a transparent, self-service solution that automates the entire predictive marketing process end-to-end: from data wrangling, to algorithmic modeling, to profile reports and scoring. The platform doesn’t rely on a user maintaining a clean database. Users can simply upload a list names and address—or a list of emails—and the platform then cleans, households, de-dupes, and appends data. The platform lets marketers input past campaign results, build models, get responder profiles and access top responders in a couple of minutes from scratch.
Response modeling with the Reach Analytics platform gives marketers:
- Professional-grade response models in real-time, based on past campaign results and 3rd-party data.
- Robust responder profiles that identify distinct characteristics between campaign responders and non-responders.
- Database scoring for creating predictively-targeted campaigns for any stage of the customer journey.
“Marketers are on the hook for every dollar they spend. Our technology lets them acquire more new customers and get better response rates, with less time and money. That’s a huge win,” said Bruno Delahaye, CEO at Reach Analytics. “Our predictive platform is a true self-service option for consumer-facing marketers that comes with both power and transparency.”
The addition of response modeling significantly expands the platform’s capabilities and can be used by marketers to increase engagement rates with prospects and customers. The new response modeling features serve as a complement to the platform’s existing look-alike modeling capability, which is used for net-new customer acquisition.
When a marketer uploads past campaign results, the platform analyzes campaign engagement factors including channel, creative, special offer and more, then assigns value to those responses. The platform then builds hundreds of predictive response models behind the scenes and algorithmically regresses to the best fitting model. Based on the best model identified, the platform provides the user with a detailed “responder profile” which includes the unique characteristics that set responders apart from non-responders. Marketers can then easily score a wider selection of their database to identify the people most likely to respond to aspects of future campaigns like a certain channel or offer.
Additionally, the platform has been designed to be collaborative and works on a laptop or tablet. Response model details, responder profiles and lists of top responders are easily shareable and equipped with live commenting.
“Automated response modeling gives Anchor’s clients improved campaign performance. They enjoy the modern, more efficient process that Reach’s cloud-hosted, machine learning platform delivers over traditional offline predictive modeling. The ease of use and speed-to-insight is fantastic,” said Thomas E. Smith, Vice President Enterprise Solutions at Anchor Computer.
Key Platform Benefits:
- Control Timelines. Marketers can now create robust profiles of top responders in real-time without waiting on data wrangling or analysts.
- End-To-End Automation. The platform offers the first end-to-end automation of the predictive marketing process for consumer-facing marketers. The platform streamlines cleansing, de-duping, appending, real-time modeling (look-alike and response modeling), reporting, donor identification, scoring and more.
- Create Better Messaging. Marketers can improve creative development, using the platform’s detailed profiles of ideal donors and top responders.
- Easy Reporting. Brands can access fast profiles of their customers and top prospects, while agencies can provide their clients with grey-labeled end-customer reports and access to their best prospects.
Along with powerful new predictive features, the latest platform release includes a revamped user interface. The design of the interface simplifies the predictive marketing process, so users can get profiles of their customers and prospects immediately and take fast action on those insights. The product is designed to give marketers a ‘fail-safe’ way to create accurate predictive models and export top prospects, without needing data science expertise. Overall, the platform reduces the marketing team’s reliance on external data providers and analysts—and increases their ability to drive the predictive marketing process and maintain control over campaign timelines.
Reach Analytics recognizes growing list of brands identifying and targeting prospective customers with automated, cloud-based predictive marketing
Redwood City, CA – December 2, 2016 – Reach Analytics, the leading provider of automated predictive marketing for brands, today announced a growing number of companies are turning to Reach for predictive marketing, consumer profiling, and customer acquisition.
With Reach’s automated, cloud-based predictive marketing tool, brands can access the predictive intelligence they need to go after net-new customers. The platform is designed for brands and new customer acquisition. It lets consumer marketers, for the first time, uncover insights about their customers and find prospects — faster, easier and more accurately than previously possible. This gives brands something they’ve never had access to before: the ability to create predictive profiles in real-time, without needing to wrangle data and/or involve data managers or data scientists.
To produce each profile, the Reach platform builds hundreds of predictive models behind the scenes and algorithmically regresses to the best fitting model, in minutes. Real-time profiling means, marketers can use the platform to rapidly build consumer profiles based on their segmentation strategy of choice — per product line, per geography (zip, state or region), per channel, per store, or per purchase type (online versus offline; high avg. purchase), etc. The platform produces the consumer and ideal prospect profile and instantly makes prospect information available for download, based on the results.
For example, Middlesex Federal Savings, F.A., a full-service community bank with more than 125 years in business and its headquarters in eastern Massachusetts, is the latest to join other brands engaging Reach’s predictive marketing platform. In the wake of a scandal involving a major big bank, whose new account openings are plunging, Middlesex Federal is using Reach Analytics to help them improve their ability to target prospects that may be considering switching from a big bank environment.
Middlesex Federal was able to use Reach to build predictive profiles of customers and gain access to 20,000 targeted checking and mortgage prospects.
Using the predictive platform, Middlesex Federal easily identifies bank prospects by age who are most likely to become checking account customers and target those customers by relevant geographies. They can also more easily identify mortgage prospects based upon existing or potential home ownership and location.
“Reach is pioneering a new kind of predictive marketing that vastly improves how brands can tap into instant data analytics and list acquistion,” said Linda Dinkel, Vice President of Marketing at Middlesex Federal. “We started working with Reach during the early development phase of the cloud product, providing feedback on early data layouts and are very excited to improve our ability and efficiency in acquiring new customers.”
Middlesex Federal and other businesses have chosen Reach’s predictive technology to gain the power to analyze hundreds of variables and characteristics that enable them to gain a true, dynamic view of consumers — and uncover their best prospects.
“Banks above all need to really know their customers and their prospects. It’s a commitment to excellence and to the communities they serve,” said Ben Barenholtz, VP Marketing at Reach Analytics. “Our focus is on helping them better understand and serve the needs of their current customers and find more like-minded customers who will love their bank.”
Loyalty marketing agency Inte Q adopts Reach Analytics as their predictive marketing platform for customer acquisition
Redwood City, CA – November 10, 2016 – Reach Analytics, the leading provider of automated predictive marketing for brands, today announced being chosen by Inte Q, a leading marketing and analytics agency, as their predictive marketing platform — greatly advancing the agency’s capabilities in consumer profiling and customer acquisition for clients.
Inte Q is a marketing agency, specializing in loyalty programs, CRM and paid-tier marketing programs for many great client brands including Adidas, Reebok, Eileen Fisher, Complete Nutrition, Pep Boys and more. Reach’s automated predictive platform will help the agency better understand their clients’ customers and allow them to maximize relationships over time.
The Reach Analytics predictive cloud offers marketers the unparalleled ability to create predictive profiles in real time, without needing to wrangle data and/or involve data managers or data scientists. To produce each profile, the Reach platform builds hundreds of predictive models behind the scenes and algorithmically regresses to the best fitting model, in minutes.
Real-time profiling means marketers can use the platform to rapidly build consumer profiles based on their segmentation strategy of choice – per product line, per geography (zip, state or region), per channel, per store, or per purchase type (online versus offline; high avg. purchase), etc. The platform produces the consumer and ideal prospect profile and instantly makes prospect information available for download based on the results.
“What’s impressive is how Reach has automated the entire process – from model building to customer profiling to prospect generation. Honestly, what they do is amazing and incredibly innovative,” said Steve Kietz, President at Inte Q. “Their ability to analyze customer data and profile consumers is way beyond what anyone is doing in the market. Other companies say they’re doing the things that Reach is actually doing.”
After a careful evaluation process across multiple levels in the organization, Inte Q selected Reach’s automated predictive platform in order to quickly generate full and accurate profiles of their clients’ customers, create more effective acquisition campaigns, and develop more relevant customer strategies for clients.
“Brands want agencies to reduce complexity across the board. Agencies are on the hook to connect all the pieces and just make things work — no excuses — especially when it comes to the sea of advertising and marketing technology,” said Bruno Delahaye, CEO at Reach Analytics. “Predictive technology has become a mandatory part of the marketing stack and Inte Q’s commitment to making it a seamless part of their offering is going to put them ahead of the hype.”
In the past, marketers were accustomed to making assumptions about ideal customers and potential buyers, often attributing traits to segments like “Eco-Conscious Moms” based on anecdotal evidence or severely fragmented data, which — when put to the test — failed to correlate to, or predict, future purchase behavior.
Inte Q chose Reach’s predictive technology to gain the power to analyze hundreds of variables and characteristics and get a true, dynamic view of consumers that will help uncover their clients’ best prospects.
Reach Analytics launches omni-channel predictive prospecting, adding email addresses and other new features to its predictive cloud
Redwood City, CA – November 1, 2016 – Reach Analytics, the leading provider of predictive technology for brands, today announced major product updates to its predictive cloud, including email addresses for predictive-based prospects, advanced geo-filtering and customer intelligence benchmarking.
With this recent set of powerful new upgrades to the Reach Analytics predictive cloud, brands can now order email addresses for prospects who are most likely to become great customers. Brands can also input large customer data segments for modeling, as well as ensure they target only the right people at the right moment, with large-file suppression capabilities.
“Email is a key tactic for customer acquisition and will help you grow — only if you’re reaching actual net-new prospects,” said Ben Barenholtz, VP of Marketing at Reach Analytics. “Brands and their agencies get lost fighting the down-funnel battle for repeat customers or their neighbor’s customers. With the right technology, brands can go after true, net-new customers that will spend now and stay long term.”
Prior to the Reach Analytics predictive cloud, very little had changed in how brands and agencies identified net-new consumer prospects. Even for the most advanced organizations and agencies, consumer-facing predictive analytics is still a tedious, spotty and expensive process of manual data science, requiring large teams and long timelines. Reach Analytics is solving this problem, allowing marketers to do best-in-class targeting in a matter of minutes.
The Reach platform provides easy predictive intelligence on customers and prospects to improve campaigns – as well as allows marketers to order predictive prospects on-demand as they need them. No more waiting a day, a week or even a month for your team or agency to turnaround a manual predictive model and prospect list. Marketers, data scientists and analysts can all work faster and more efficiently with the Reach platform.
“Our predictive intelligence and modeling performance is certainly best-in-class, and the speed cuts down on the time and expense for brands,” said Chandra Pisupati, VP of Engineering at Reach Analytics. “The platform is rapidly growing and improving. It’s already fast and in the cloud, and now we’re building really interesting capabilities. Users are excited to have access to email data for their best prospects and to share models and target predictive geos. There’s a lot of new-to-market things we’re enthusiastic about releasing – now and on the near horizon.”
The Reach Analytics Predictive Marketing Cloud: Product Update Highlights—
- Email Append. Order validated emails for predictive-based prospects, in order to drive much smarter email campaigns with higher returns.
- Email Reverse Append. Build models on customer segments using email addresses, rather than a name or address. This greatly increases marketers’ ability to segment customers and build powerful models in real time, without having to wrangle their data or involve analysts.
- Big File Upload. Input large customer data files for building predictive models.
- File Suppression. Easily input suppression lists for refined targeting.
- Advanced Geo Filters. Refine prospect targeting at the state and ZIP code level, as well as set a specific radius.
- Customer Intelligence Benchmarks. Get accurate US and market benchmarks for customer insights. This tells marketers how their best customers are unique, compared to their general market. For example, it’s useful to know that 81% of your best customers are married, it’s more useful to also know that the U.S. average is 48%, and that the market average in your geo is 56%.
- Model Sharing. Easily select and share models with other members of your team to increase workflow and knowledge transfer without data managers or other middle men. By getting more done faster, marketers can focus on acquiring more valuable customers.
“Reach provides a better picture of customers and prospects — insights which often clarify or correct previous assumptions. This is hugely valuable for developing creative, optimizing messaging or improving targeting,” said, Jim Kingsbury, managing partner at RevelOne and former head of marketing at One Kings Lane. “Reach gives you the power to grow with straightforward and super-fast access to your best prospects.”
The Reach Analytics predictive cloud is a predictive intelligence platform designed for brands and new customer acquisition. It lets consumer marketers, for the first time, uncover insights about their customers and find prospects – faster, easier and more accurately than previously possible.
Redwood City, CA – August 26, 2016 – Reach Analytics, the leading provider of predictive technology for brands, today announced the appointment of Ben Barenholtz as VP of Marketing and Communications. As head of marketing, Ben is responsible for the promotion of the brand and the predictive cloud platform, which is changing how companies understand their customers and discover their best prospects.
Ben joins the company at a key moment of growth as Reach Analytics’ automated predictive cloud software now, for the first time, lets B2C marketers uncover insights about their customers and find prospects — faster, easier, and more accurately than previously possible. Leading the marketing function, Ben will apply his leadership, strategy, and narrative expertise to launch and grow offerings in the market for customers.
“Not to predict the future or anything — but Reach’s cloud technology is going to excite more and more consumer-side marketers, who need innovative ways to win new customers,” said Ben Barenholtz, Vice President of Marketing at Reach Analytics. “Every marketer wants to truly know their audience. We tend to obsess over it. Who are they really? How are they changing? Who’s going to love our product? Reach has encapsulated this art and science into a cloud platform that runs circles around the old manual way of doing things.”
Prior to the Reach Analytics Predictive Cloud, gaining customer insights and new customer acquisition was a tedious, spotty, and expensive process of manual data science, requiring large data science teams and long timelines.
“We’re thrilled to have Ben’s leadership on the team and to bring automated, self-service predictive science to marketers,” said Bruno Delahaye, CEO at Reach Analytics. “With Ben, we’re growing awareness with brands and making fist, powerful predictive marketing a reality for consumer brands.”
Prior to Reach Analytics, Ben lead global marketing and communications at the technology marketing company, DWA, building and executing strategic initiatives across brand, content, events, partner marketing and more. Ben also previously served at a boutique management consulting firm, helping Fortune 50 brands like Coca-Cola and Dell solve problems from brand activation to innovation strategy, as well as worked in ad and marketing tech communications and global PR.
Redwood City, CA – July 18, 2016 – Reach Analytics, a cloud software company which helps B2C companies leverage their customer profile to identify targeted prospects for customer acquisition campaigns appoints Heidi Flaherty as VP Finance and Operations.
Heidi brings to Reach Analytics over 25 years of financial and operational experience with technology ventures of all sizes and has a successful track record supporting innovation and rapid growth, specifically at SaaS software companies.
Bruno Delahaye, CEO of Reach Analytics, says “We are very happy to be able to attract talent at Heidi’s level with such an accomplished track record. She will be a strong asset as our team grows.”
Most recently Heidi served as CFO at ConnectSolutions, a secure cloud collaboration start-up; VP Finance and Investor Relations at Advent software, a SaaS software company focused on the financial services vertical (Nasdaq: ADVS, later acquired by SSNC); an e-CRM start-up; and a predictive analytics software start-up for telecom service providers.
Earlier in Heidi’s career, she built and led Global Product Planning and Pricing Management for Cisco Systems (Nasdaq: CSCO).
Heidi holds an MBA from Santa Clara University, and a BA in Economics from the University of California at Santa Barbara.
Reach Analytics and former Target VP will examine solutions for customer acquisition at DMA’s Marketing Analytics Conference June 23
Redwood City, CA – June 16, 2016 – Reach Analytics, a cloud software company that provides targeted marketing leads for customer acquisition campaigns will participate in a conference session about customer acquisition at the DMA’s conference in Austin, TX with Ujjwal Sinha, former VP Business Intelligence at Target.
Small and medium businesses are hungry for self-service tools that allow them to learn about their customers and how to implement targeting for customer acquisition campaigns.
At this conference session Bruno Delahaye, Reach Analytics’ CEO, and Ujjwal Sinha, both with deep experience across analytical strategies, will talk about the new predictive marketing landscape available to support small teams of B2C marketers.
The future of companies which could only identify marketing prospects by making very generic selections of prospect lists based on filters or going through lengthy predictive modeling processes is about to change in a dramatic way for the B2C market.
Combining advanced machine learning and data wrangling techniques as well as cloud computing enables marketers to generate detailed customer profiles within seconds and lists of highly targeted marketing prospects through predictive analyses within minutes.
Previously available in the B2B market, new solutions for the B2C market are bringing traditional customer acquisition approaches to a new level by enabling business leaders such as CMOs, Marketing Directors, and Circulation Managers to gain access to their best prospect lists within minutes of loading the names and addresses of their current customers.
The conference session goal is to bring a meaningful understanding of various customer acquisition solutions and help companies determine the best approach for their needs.
Reach Analytics joins the Direct Marketing Association to present a webinar on breakthroughs in the search for targeted B2C prospects
Redwood City, CA – May 27, 2016 – Reach Analytics, a cloud software company that provides targeted marketing leads for sales and marketing drove a large audience of Direct Marketing Association members to its webinar on the state of targeting B2C prospects.
Small and medium businesses identify new consumer leads by making very generic selections of prospect lists based on filters or going through lengthy predictive modeling processes, where they need to rely on experts in data cleansing and data science.
These processes are about to change in a dramatic way in the B2C market. Combining advanced data science and data wrangling techniques as well as cloud computing, enables marketers to generate detailed customer profiles within seconds and lists of highly targeted marketing prospects through predictive marketing within minutes.
New solutions are bringing traditional customer acquisition approaches to a new level by enabling business people such as CMOs, Marketing Directors, and Circulation Managers to gain access to their best prospects within minutes of loading the names and addresses of their current customers.
Reach Analytics is so confident in the capacity of its new solution that they have decided to launch as a freemium model where predictive models are built for marketers at no charge. For a limited period of time they will also provide the consumer profiling for free.
The webinar presented by Bruno Delahaye, Reach Analytics’ Chief Executive Officer can be found here at Youtube.
Reach Analytics launches first in the market predictive cloud solution for B2C marketers to identify new prospects
Redwood City, CA – April 27, 2016 – Reach Analytics, a cloud software company that provides targeted prospects for sales and marketing today announced the release of a new cloud-based Predictive Marketing solution.
Reach Analytics’ new offering is poised to revolutionize the way companies acquire new consumers. During the past decade, very little has changed in how companies identify new consumer leads: either they make very generic selections of prospects lists based on filters or they go through a lengthy predictive modeling process, where they need to rely on experts in data cleansing and data science.
With the new solution from Reach Analytics, this is about to change in a dramatic way. Reach Analytics is combining advanced data science and data wrangling techniques as well as cloud computing to enable marketers to generate detailed consumers profiles within seconds and lists of highly targeted marketing prospects through predictive models within minutes. This new solution brings traditional consumer acquisition approaches to a new level by enabling business people such as CMOs, Marketing Directors, Circulation Managers to gain access to their best prospects within minutes of loading the name and address of their current customers.
“The B2C market has been asking for a quick way to get valuable new marketing leads at an affordable rate. With Reach Analytics’ Predictive Cloud, marketing executives can now instantly gain new insights on their customers and find relevant prospects to expand their market share. The huge computing power provided by the cloud and sophisticated machine learning applied to large data enables us to offer the power of predictive analytics to smaller marketing teams.” says Bruno Delahaye, Chief Executive Officer.
“As a Direct Marketing industry veteran for over 30 years, and as the founder of Reach Analytics and board member, I have held the vision that our NEW WAY will now enable the vast majority of marketing operations to deliver significantly higher and faster ROI on their omni-channel campaigns by applying our analytic solutions to obtain direct access to highly targeted, newly uncovered prospects in just seconds.” says Mike Green, Chairman Emeritus of Reach Analytics.
“In my career as marketer and predictive specialists I have never seen a new offering that could change the customer acquisition market in such a way before. I believe the B2C Predictive Cloud of Reach Analytics will transform our industry.” says Richard Helmer, PhD.
Reach Analytics is so confident in the capacity of its new solution that they have decided to launch as a freemium model where predictive models are built for marketers at no charge. For a limited period of time they will also provide the consumer profiling for free.
Reach Analytics’ Predictive Cloud leverages powerful machine learning to create a demographic profile from a simple customer list that companies upload. It cleans, de-dupes, and analyzes the customer data along with millions of appended data values that Reach Analytics hosts.
The output results, produced within minutes after uploading data, include the display of a customer concentration map and details across several key demographic and socio-economic factors.
The look-alike model is used to target households with the highest propensity-to-buy similar to the company’s uploaded customers. The marketing executive can immediately purchase and download his next best new customer leads.
Pricing and Availability
Reach Analytics’ Predictive Cloud is available now at www.reachanalytics.com and for a limited period, creation of predictive customer profiles are free for trial.
More than 30 years of experience in predictive marketing technology with proven results is behind Reach Analytics’ solutions to help B2C companies increase their marketing ROI.
Redwood City, CA – April 12, 2016 – Reach Analytics LLC, a cloud software company that provides targeted leads for sales and marketing has announced a headquarter relocation and expansion. The California-based company has moved its offices from Mountain View to Redwood City. The new address is 2055 Woodside Road, Suite #270, Redwood City, CA 94061.
The move stems from Reach Analytics’ needs for additional space to accommodate anticipated growth associated with its forthcoming launch of a Cloud-based predictive solution for B2C marketers. The new location brings 30% more square footage and the lease was brokered by Cushman Wakefield for owner, Woodside Road Holdings, LLC, and Newmark Cornish & Carey and Kidder Mathews for Reach Analytics.
“With our plan to hire at least 10 new positions over the next 12 months, our new facilities will provide ample space for that staff and, in turn, most effectively deliver on our growth plans,” says Lynn Newhouse, Vice President of Operations.
More than 30 years of experience in predictive marketing technology are behind Reach Analytics’ solutions that help companies increase their marketing ROI through the application of sophisticated analytics and data mining.
Mountain View, CA – March 29, 2016 – Reach Analytics, in the B2C predictive space, announced today that Yahoo! veteran Chandra Pisupati is joining the company as Vice President of Engineering to lead its Cloud application development.
“Bringing to this position more than 20 years of software development experience and nearly 15 years in development management, Chandra will play a key role in our growth. We are delighted to have him as part of our team.” says Bruno Delahaye, CEO of Reach Analytics.
Chandra most recently worked as Director of Cloud Engineering with Motorola Mobility, and prior to that spent 10 years at Yahoo! in various roles of increasing responsibility starting as Sr. Engineering Manager of Yahoo!’s small business e-commerce group where he led a cross-functional team to architect and build the next generation, multi-tenant, e-commerce platform. He was promoted to Director of Engineering for the Apt Display Advertising Platform and then again to the Content Personalization Platform where he assembled a small team of engineers and applied scientists that implemented a content acquisition and processing system along with an offline modeling and evaluation system that remains the foundation of Yahoo!’s front-page, stream-based, personalized content delivery today.
Chandra holds an M.S./M.E. as well as a B.S./M.Sc. Tech in Computer Science from Birla Institute of Technology & Science, India.
Mountain View, CA – January 12, 2016 – Reach Analytics, predictive marketing cloud company that provides qualified B2C leads and prospects, announced today that it raised an A1 Round of investment lead by existing investors. The new funding will be used to finalize development of its cloud offering that will enable sales and marketing professionals to identify and acquire leads and prospects with the right profile for their product portfolio—directly and in mere minutes. Bruno Delahaye, CEO, says, “While the predictive marketing space for B2B companies evolved tremendously over the last five years, the B2C marketing space has not seen the same transformation. Reach Analytics is rapidly advancing on bringing those transformations to market within a few short months.”
This new investment solidly positions Reach Analytics to deliver on its vision for the predictive cloud service and, in turn, strengthen its go-to-market strategy. Tim Dibble, managing partner of Alta Equity Partners, says, “With a strong existing base of blue-chip customers in Insurance, Banking, Retail and Healthcare, Reach Analytics is in a pole position to take an early lead in the B2C cloud predictive space.” Greg Mulligan further states that “I have worked in financial industries for more than 20 years and it is clear to me that Reach Analytics’ new predictive offering will provide a perfect solution for this sector—especially for mid-size companies. The potential for similar-sized companies within other industries such as Retail, Automotive, Insurance, and Non-Profits seems to be at least as strong.”