Mar
12, 2014
CQuotient
mines data for clues on improving targeted ads
Taryn
Plumb, Special to the Journal
CQuotient
sees itself as a sort of Sherlock
Holmes for retailers.
When
customers visit a particular retail website, they leave “interesting,
subtle and valuable clues,” said founder and CEORama
Ramakrishnan.
“We're data detectives.”
The
Cambridge-based company helps online and brick-and-mortar stores with
“personalized retailing” by collecting and analyzing various bits
of data on customers (whether regulars or prospects), then using that
information to create tailored content, ads, offers and promotions.
CQuotient
assembles a bevy of information – including transactions made
online and offline, web-browse data, email interactions, mobile
usage, product details and promotions – to create profiles
indicating how, when and where customers shop, what merchandise they
like and don't like, their price sensitivity, what kinds of offers
entice them, among other details.
“Fundamentally
what we do is go deep into the data and extract clues, nuggets, about
what customers like and don't like,” said Ramakrishnan. “It helps
us understand what's really going on in the customer's mind.”
Ramakrishnan
has deep experience in data analytics – in addition to running
analytics consulting firms, he taught analytics at the MIT Sloan
School of Management, and previously served as head of R&D for
the Cambridge-based ProfitLogic, which helped retailers optimize
profits and pricing and offered inventory planning software. The
company was acquired by Oracle
in 2005 for a reported $160 million.
While
at ProfitLogic and Oracle, Ramakrishnan said he found that, while
retailers were looking at store and product-level data, they weren't
often analyzing data down to the customer level. This prompted him to
found CQuotient – the “C” in the name signifies “customer”
– in 2010, starting exclusively with email personalization.
Because
emails can drive significant revenue for retailers, the goal was to
“figure out how to make those emails more individualized, more
relevant, more useful,” he explained.
The
company – now with 12 employees and actively hiring – has since
broadened its data mining to encompass interactions between customers
and retailers on the web, mobile apps, through direct mail, and even
in physical stores.
Ramakrishnan
credited the ability to delve so deeply to advancements in technology
and machine-learning. The processes undertaken now simply wouldn't
have been possible even five years ago, he said.
“Now
we can receive, store and process an amazing quantity of data,” he
said.
Going
forward, CQuotient has plans to ramp up its engineering, sales and
marketing teams, and use data to personalize display advertising
across the web. The company is backed by $3 million from Bain Capital
from a December 2010 funding round. It may pursue a second round,
Ramakrishnan said, as early as the second quarter of 2014.
Although
he declined to release revenue figures, Ramakrishnan did say the
company is “experiencing rapid growth.” Revenues are derived from
a subscription model, and the company currently has more than 15
retailers “of all stripes,” he said, including Karmaloop, The
Children's Place, and Men's
Wearhouse.
The
latter, which has 1,100 stores nationwide, partnered with CQuotient
in 2013, focusing on transaction, web and loyalty program data.
“Just
as our in-store tailors alter garments to perfectly fit each
customer, we (can) deliver personalized emails individually tailored
to each recipient,” Susan
Neal,
executive vice president of e-business, marketing and digital
technology at Men's Wearhouse, said in a statement.
Original story link.
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