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How CPG Brands Can Harness Personalization To Engage Consumers

Xignite

Article by Diaz Nesamoney

AdotasI have recently spoken to many CMOs and Chief Digital Officers of CPG companies (our friends in the UK and elsewhere call them FMCG). They are fascinated by the concept of data-driven dynamic creative and personalization.

After decades of blasting consumers with one size fits all messaging—not just on TV and print (where you had little choice but to do so)—but also on digital channels. The mantra was “maximum reach for the lowest cost” or, in other words, blast ads to every man, woman and child whether or not they will ever be consumers of the product.

A lot of this kind of thinking was perhaps a holdover from the days when there was really only one Claritin, one Colgate toothpaste and one Coke. Brand managers later figured out that some level of product customization was necessary and important, as different sub groups of the target audience were likely to have different requirements. Then, different products were born: Claritin for Kids, Chewable Claritin, Liquid Claritin, Claritin Grape Flavor (both liquid and chewables), Claritin for 12 hours, 24 hours, and so on. This was a brilliant move because this kind of personalization really got consumers to purchase the products tailored for them.

When Ads Subtract

Advertising, however, stayed the same. So we saw one ad for Coke – the same message to everyone in the world. It was the same advertising approach for almost every big brand out there. As consumer engagement started to fade due to advertising fatigue, the response to boosting more engagement was always “hit them with more ads” – in the name of “reach.”

Along came re-targeting, which many retailers (with strong online sales) realized was a way to offer some degree of relevance by retargeting site visitors with products they had browsed but not purchased. Soon, this evolved into the dynamic creative optimization technology (DCO) that would optimally select products and messaging for the individual.

Now, DCO has evolved into true personalization. Combining first-party data from the brand sites, CRM systems, along with other contextual and third-party demographic data, brands leverage the rich data to build a holistic view of the individual and market to them with precise and relevant messaging and products.

Many CPG brands have only been watching enviously as retailers continue to exert more and more influence on the purchase decision, thanks to treasure troves of data they hold about the consumers and the use of personalized marketing platforms to engage them.

Personalization Strategies

As I work with several large CPG companies on personalization strategies, it has become clear that a critical kind of data that has tremendous capacity to engage consumers is often being ignored—contextual data. Many marketers who have access to first-party or third-party behavioral data flock to it, while often ignoring data about the user’s context: i.e. where they are, what they are doing, what’s happening around them. One of the nice things about contextual data is that it does not require identifying the user personally, which these days is a good thing with the increase in scrutiny around the collection and use of user data. Contextual data is mostly determined without having to identify the user.

Contextual data like weather and location are the most common and easy-to-get, but increasingly there is a lot more out there assembled by specialist vendors. For example, Grapeshot is a tech company that scours websites across the globe and gleans contextual meaning about each site, such as determining whether a website that describes footwear is a fashion site or a site on mountain climbing gear. Such context gathered in real-time enables DCO platforms to change the ad messaging in real-time, and change products and creative designs of an ad based on the context of the site.

This sort of technology is a great boon to CPG marketers, since it does not rely on visits by consumers to their own websites, which are minimal, or to their stores, which are also minimal or non-existent. Having the ability to determine the context of the web page or mobile site the user is on while viewing the brand’s advertisement can enable DCO platforms to precisely fine tune messaging for the optimal outcome.

Several other valuable sources of contextual data include pollen (for allergy medications), UV data such as WeatherAlpha (for skin care products), sports data like SportRadar (many consumer brands like beverages correlate well to sports data), events and holidays (for consumer gift items), or financial data from the likes of Xignite (product messaging based on financial market trends). Even time of day, which doesn’t seem like it would make a big difference, is proving to be a valuable source of user context and can be used to drive messaging—a breakfast food item in the morning, beer just before happy hour, you get the idea.

Personalization, once a tool considered to be only for retailers and brands with rich consumer data, is now showing tremendous benefits in user engagement to CPG brands that have harnessed the power of contextual data. Consumers will appreciate brands delivering advertisements that are tailored to their needs intelligently, rewarding them with consideration, purchase and loyalty. Isn’t that what marketers are supposed to do?

RECENT NEWS

Each year, Bobsguide asks the market to vote for fintech companies they believe stand out from the competition – those who have gone the extra mile in terms of development and servicing their clients. Xignite is proud to be listed as the "Best API Management" vendor on the Bobsguide 2020 Rankings.


Read article on Bobsguide

01/26/2021

Web services data provider Xignite captured the AFTAs judges’ attention on the infrastructure front with its release of Xignite Enterprise Microservices in July 2020, a suite of cloud-based microservices for data management, storage and distribution in the cloud, designed to help financial firms migrate from monolithic legacy data architectures to more agile and less expensive cloud services and data sources.

Requires subscription to read the article on WatersTechnology

01/25/2021

Xignite, Inc., a provider of market data distribution and management solutions for financial services and technology companies, today revealed the results of its collaboration with StockCharts, a leading technical analysis and financial charting platform for online retail investors. The collaboration involved a move from an on-premise market data provider to Xignite’s cloud-native technology hosted in Amazon Web Services (AWS). Download the case study containing the full results.

StockCharts requires vast quantities of financial data to power its visualization, charting and tracking tools, which investors use to analyze the markets to help with investment decisions. The company was frustrated by the limits of its on-premise market data center, which was forcing the team to make architectural decisions based on what its data center could handle in terms of speed and storage, not on their technology. Its previous market data provider was just starting to build out some cloud offerings, but they were far away from what the business required. StockCharts decided to migrate its infrastructure to the AWS cloud and partner with Xignite to gain access to endlessly scalable market and financial data delivered through innovative cloud APIs.

The collaboration made an immediate impact as StockCharts was able to expand its offerings and customer base by pursuing growth strategies enabled by Xignite’s cloud-based approach, which provides easy access to data and eliminates architectural limits on storage and speed.

The pandemic provided further validation. Seattle-based StockCharts was in one of the first areas hit by COVID-19 and was forced to quickly shut down its office. Pandemic-driven market volatility followed and StockCharts customers wanted to visualize what was happening. The company’s ability to scale quickly and accommodate a high volume of new requests would not have been possible without Xignite.

“The move to the AWS cloud and Xignite has unlocked tremendous new potential for us in a lot of architectural ways, and has given us a lot of data options that we could not even consider before,” said Grayson Roze, Vice President of Operations at StockCharts. “It relieved us of the burden of figuring out how to source things. Instead, we know exactly where we need to go to get the data and can access it instantly. That is a huge, huge benefit for our business.”

“We are proud to have played a role in transforming how StockCharts approaches data,” said Stephane Dubois, CEO and Founder of Xignite. “The events of this year unleashed a massive spike in retail trading and a host of other unexpected forces that reinforced the need for financial services firms to leverage the cloud. Despite the disruption of this year, StockCharts was positioned for success, and we look forward to continuing to deliver our financial and market data solutions to the industry at large.”

Xignite

Xignite has been disrupting the financial and market data industry from its Silicon Valley headquarters since 2006 when it introduced the first commercial REST API. Since then, Xignite has been continually refining its technology to help fintech and financial institutions get the most value from their data. Today, more than 700 clients access over 500 cloud-native APIs and leverage a suite of specialized microservices-delivered modules to build efficient and cost-effective enterprise data management solutions. Visit http://www.xignite.com or follow on Twitter @xignite

01/12/2021

Xignite, Inc., a provider of cloud-based market data distribution and management solutions for financial services and technology companies, today announced that its Market Data Management-as-a-Service solution has been named “Best New Technology Introduced over the last 12 months – Infrastructure” at the 2020 WatersTechnology American Financial Technology Awards (AFTAs). Selected by the editors of WatersTechnology, the AFTAs recognize excellence in the deployment and management of financial technology within the asset management and investment banking communities.

Xignite’s Market Data Management-as-a-Service (MDMaaS) solution enables buy- and sell-side firms to centralize the management of vendor data feeds into their own cloud environment. The solution is built around the cloud microservice-based architecture and technology stack Xignite has been refining and scaling for more than 10 years. Xignite’s technology platform has been the backbone of the company’s Data-as-a-Service business, daily supporting 12 billion API requests of financial data for their 700 fintech and financial services clients. Now Xignite is leveraging this battle-tested cloud-native data management architecture to offer buy- and sell-side firms a market data vendor agnostic offering, with connectors available for firms to load data they license from Bloomberg, Refinitiv, ICE and numerous other providers.

The MDMaaS solution includes a suite of loosely-coupled modules that enable market data user firms to control their data usage, automate entitlements, optimize their data spend and minimize liabilities by simplifying data governance and ensuring regulatory compliance.

The functionality is delivered via microservices, an architectural approach in which core functionality is handled by loosely coupled, independently deployable modules that can work together or separately. Microservices architecture stands in stark contrast with monolithic platforms that require expensive on-premise technology – that is especially hard to maintain in the context of a pandemic.

The MDMaaS microservice-delivered modules introduced in 2020 include:

Xignite Entitlements and Usage - Manage the entitlement of vendor data to users and applications to ensure compliance and eliminate excess spend.

Xignite Optimization - Streamline data consumption to avoid duplicated vendor requests, leverage cached bulk data and get recommendations to reduce data costs.

Xignite Data Lake - Centralize, catalog and connect data shapes to enable frictionless integration by consumers via unified cloud APIs.

Xignite Reference - Aggregate, normalize, store and index vendor reference data to centralize enterprise-wide access.

Xignite Historical - Provide centralized access to normalized, stitched and adjusted historical data via cloud APIs.

Xignite Real-Time - Distribute real-time vendor data via cloud APIs, eliminating on-premise infrastructure.

Xignite Fundamentals - Make simple and complex time-series data structures available via cloud APIs.

“Xignite has pioneered market data in the cloud for more than 10 years now, so we are very excited to announce – and be recognized for – our Market Data Management-as-a-Service solution,” said Stephane Dubois, CEO, and founder of Xignite. “The pandemic has reinforced the need for financial services firms to migrate to the cloud as a means of navigating disruption and enabling scalability, among other benefits. We are proud to spearhead that effort and help the industry modernize its approach to financial and market data.”

About Xignite

Xignite has been disrupting the financial and market data industry from its Silicon Valley headquarters since 2006 when it introduced the first commercial REST API. Since then, Xignite has been continually refining its technology to help fintech and financial institutions get the most value from their data via its Data-as-a-Service and Market Data Management-as-a-Service solutions. Today, more than 700 clients access over 500 cloud-native APIs and leverage a suite of specialized microservices to build efficient and cost-effective enterprise data management solutions. Visit http://www.xignite.com or follow on Twitter @xignite

01/06/2021