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Associate Director, Paid Search
Salary

US$120000 - US$135000 per year

Location

Los Angeles, California

Description

Do you want to work for one of the largest and most recognized independently owned advertising agencies in the US?

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Digital Consulting Manager
Salary

US$110000 - US$130000 per year + bonus

Location

New York

Description

A data and technology company is seeking a Digital Consulting Manager to contribute to the success of the New York office!

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Digital Analytics Director
Salary

US$130000 - US$160000 per year

Location

New York

Description

Ever wanted to be a change-maker in an agency's data-culture and build out a brand new team from scratch? As Digital Analytics you can do just that!

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Manager, Media Analytics
Salary

US$100000 - US$110000 per year

Location

San Francisco, California

Description

Drive media analytics for a major entertainment client with a growing branch of an international agency.

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Associate Director, Digital Analytics
Salary

US$120000 - US$135000 per year

Location

New York

Description

An opportunity to apply advanced analytical methodologies to media performance in one of the most data-driven, tech-forward agencies as an Associate Director!

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Harnham blog & news

With over 10 years experience working solely in the Data & Analytics sector our consultants are able to offer detailed insights into the industry.

Visit our Blogs & News portal or check out our recent posts below.

Web Analytics Trends

Web Analytics Experts On The Year’s Biggest Trends

Size. Scale. Strategy. Metrics. The measurement of the customer experience is inherent throughout our marketing and advertising efforts in today’s world. So, we thought we’d take a step back and ask Data professionals about their thoughts on current and upcoming trends in the realm of Web Analytics.Their answers were as wide and varied as the people who gave them. But to a one, these are all in executive leadership and are exclusively focused on Web Analytics and its effects on consumer behavior. Personalization Gets More Personal  "With IoT, today service providers have a huge amount of data about their consumers. In Web Analytics, this has led to analysis of individual customer behavior, which is enabling companies to offer personalized services to their customers.  Therefore, on-page analysis has become popular because the aim here is to convert the visitor to a purchaser when the opportunity presents itself. With voice search on the rise, this has led to a push towards analyzing voices- so as to understand emotions and identify points of frustration which lead to abandoned carts."  - Avinash Chandra, Founder and CEO at BrandLoom  Privacy Focus  “Many people are concerned about how the likes of Google and Facebook handle the analytics data they collect. Google Analytics has been the default choice for most tech teams for years now, but it's being installed on fewer and fewer sites nowadays. Instead of handing your website's visitors' data to Google, many young companies want to be in control of their visitors' data.”  - Uku Tehrat, CEO at Plausible Insights Reading the Tea Leaves of Web Analytics “Access to deep information has a drawback; it’s made us reliant on the instantaneous raw data from each analytics channel to inform strategy. However, that data isn’t always accurate. To solve the problem, marketers and analysts will need to take a more holistic view of the data.  Instead of, for example, tracking revenue by channel solely in analytics, the analytics professional will be looking at the real revenue of the business and evaluating the changes in the marketing that have led to that result. By looking at the real business KPIs and creating narratives that reflect the whole of the data, an analyst will be able to avoid the short-term thinking that comes from the constant analysis of daily analytics reports.” - Doug R Thomas, Marketing Consultant at Magniventris  The Third Wave of Business Intelligence  Sean Byrnes, the CEO of Outlier, an analytics solution provider, is seeing an interesting shift in Data Analytics. This shift has us entering the third wave of Business Intelligence (BI).  The first wave, data centralization, aggregated business data in a single place, making it easy to know where to look for answers. Next, data visualization tools made extracting answers easy and accessible, allowing anyone in the organization to make use of them.  The third wave is Automated Analysis. This wave will have a big impact on data scientists and how they do their jobs. In this third wave of BI innovation, automated analysis systems will constantly examine all of a business' data and provide "curated" insights related to specific and actionable changes in the business. This is vastly different than today's dashboards, giving data scientists specific, daily direction on which parts of the business to focus on. This also helps data scientists elevate their own brand to one of a data counselor. Helping define how to use data insights to fine-tune the business.  - Sean Byrnes, CEO at Outlier. Video Marketing is Here to Stay “From a marketing perspective, the biggest trend I see moving forward is the continual rise of video consumption.  Consumers are shifting from reading blogposts to watching YouTube videos, and from reading books to watching Netflix. We know that the currency of the online world is engagement. This means that whichever large company, small business, or individual can engage their audience most effectively, wins.  When it comes to web analytics, it is important to identify the metrics that signal strong user engagement and to work to improve upon the mover time. Some of these metrics include watch time, average view duration, re-watches, returning viewers, etc. The better you can get these metrics, the more engaged your audience will be.” - Jeremy Lawlor, Co-Founder & Chief Strategist at Active Business Growth AI-Enabled Data Interpretation  “AI is constantly being mentioned as an enhanced way to interpret and help visualize data, and we are seeing various tools that promise to do that. I also see a lot of potential in using Web Analytics to predict consumer behavior and have better forecasts of performance. In general, we will have better ways to decipher them in order to better serve our needs in understanding the historical data and identifying trends and risks.”  - Gabriel Shaoolian, Founder and Executive Director at DesignRush A Three-Pronged Shift of Integration and Visualization Data connection web + mobile + offline (data integration)  DataViz development (data visualization) Development of the data-driven business model  "This shift towards a more integrated and data-driven approach should be important to business. After all, it’s the business model not just of the future, but now." - Krzysztof Surowiecki, Managing Partner at Hexe Data, a Data Analytics company A Growth Spurt   “Web Analytics should expect a growth spurt in the next decade. Technology has gotten so complicated, we need people – senior level people – with experience to understand and distill data to the business. Even something as simple as Salesforce, needs experts. Jobs aren’t going anywhere.  Businesses are desperate for educated individuals to help them make sense of all the data and filter out that which “fake” (read: bot traffic) in order to really understand the numbers and what that means for their business.”  - Daniel Levine, trends expert and keynote speaker at DanielLevine.  Web Analytics has been backstage long enough. As businesses aim to strike a balance between the data measurement of the customer journey, ensuring customers’ data privacy, and tailoring each experience, there’s plenty of work here to go around. And with the estimated growth spurt in the next decade, now’s the time to jump in. If you’re interested in Web Analytics, we may have a role for you. Check out our current vacancies or get in touch with one of our expert consultants to learn more. For our West Coast Team, call (415) 614 - 4999 or send an email to sanfraninfo@harnham.com.  For our Mid-West and East Coast Teams, call (212) 796 - 6070 or send an email to newyorkinfo@harnham.com. 

Lauren Harris

Lauren Harris

29. August 2019

Death of the DMP, Rise of the CDP

Death of the DMP, Rise of the CDP

The days of generically using Data in Marketing are on the decline as information gathering becomes more laser focused. Once the domain of third-party sites looking to build partnerships and boost campaign efforts, Data Management Platforms (DMPs) are making way for Customer Data Platforms (CDPs). Under the weight of data breaches, GDPR, and other security issues, technologies that center around consent are helping build consumers into campaign strategies. This is a reversal from older strategies to build data from historic data profiles at channel level.  Data is Data, So What’s the Difference? In a nutshell, DMPs act as “equalizers” – all companies have access to predefined parameters of data. CDPs are “differentiators” – each customer is unique with information driven from first-party historical and contextual data, determined along the customer’s purchase journey. Tailored customer data has now gone beyond the scope of Data Management Platforms and offers marketing insights nearly unheard of just a few years ago. Now, we can understand our customers not only from their historical, factual, and contextual data within parameters we’ve created, but we can gain an outside perspective as well.  Five Reasons CDPs are on the Rise Single, Unified StorageThey store ALL data (1st, 2nd, and 3rd) such as names, addresses, emails, etc. as well as cookie IDs and tags. This storage capacity makes it easy to aggregate everything into one place and integrate with advertising systems.They capture data at a granular level. This includes considering long-term storage and multiple storage formats without predefined parameters focused only on advertising – what we want to sell you, not what do you want to buy?They aren’t restricted to stages of the customer journey, but can pick up data anywhere along the customer lifecycle. This information can be used for look-alike modeling or can be retargeted for more effective advertising and marketing efforts.They create a holistic overview of customer behaviors opening up new opportunities for personalization. Customer First Brand Targeting Today’s advertising and marketing strategies are being re-evaluated to prioritize the customer experience. Once customer data had to fit into predefined boxes of information, now our data collection efforts are as unique as every person who visits your website, clicks a call-to-action, or visits a brick-and-mortar store. In a Nutshell… This is a crucial time in the industry and any door which will help us resolve issues and keep the customer front and center will strengthen our efforts. However, as we go deeper into what the customer likes and why we must keep our customer’s privacy safe whilst retaining an advantage over our competitors.  DMPs, once the singular domain of marketers, was used to package and repackage data to better understand customers and improve ad targeting. CDPs, on the other hand, focus on every aspect, every angle of marketing to make advertising more customer-centric and laser-focused. Ultimately, as CDPs are all inclusive, they have absorbed Data Management Platforms into their systems, helping move the industry another step forward. If you’re interested in Data & Analytics, consumer behavior, and are actively seeking an opportunity to dig in your heels and get set up for a strong career path, we may have a role for you. Check out our current vacancies or contact one of our expert consultants to learn more.  For our West Coast Team, call (415) 614 - 4999 or send an email to sanfraninfo@harnham.com.   For our Mid-West and East Coast Teams, call (212) 796 - 6070 or send an email to newyorkinfo@harnham.com. 

Joshua Poore

Joshua Poore

11. April 2019

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