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DataTechnologyUncategorized

Great Performance Metrics Aren’t the Holy Grail – Incrementality Is!

May 18, 2016 — by MediaMath

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CMOs are expected to outspend CIOs for the first time ever by 2017, according to a 2015 report by Gartner. With the increased responsibility for choosing technology, including software and providers, will come increased scrutiny over results marketers drive. Incrementality — measurement of true growth caused by a campaign — will become vital for marketers to get and stay ahead.

In our last article, we reviewed how marketers can escape setting goals that don’t directly tie to the strategic intent of their campaigns. While we mainly focused on objectives for branding campaigns, the same applies to direct response e-commerce. Performance measurement for lower funnel campaigns should be squarely focused on the real consumer behavior. But, smart campaign goals and objectives are just the start.

There are two primary reasons for a brand to advertise: 1) defend the status quo (i.e., maintain brand equity, consumer loyalty and competitive defendability) and 2) drive growth. While brand executives care about defending the core, those efforts often don’t show results in short-term financials. The pressure is always on the marketer to drive immediate growth for the brand.

We need to look beyond the metrics commonly reported for digital media to gain insight into the effectiveness of a campaign in driving growth. Let’s first look at a retail brand to understand why. The brand’s programmatic campaign is optimizing to online retail revenue, and currently reports a $25 return-on-advertising-spend (ROAS). Marketers rejoice — we’ve found a gold mine. But is each dollar of spend really producing $25 in sales? If this sounds too good to be true, it is.

In reality, some of that revenue would have been realized even if the advertising campaign did not occur. We call this intercepted performance­­ — consumer action that is misattributed to the campaign and would have occurred even if the campaign did not. Think about ads you’ve come across at the top of a search page. You search for a brand, see the advertised link at the top and click through even though the organic search result is right below. Did that ad impact your intent to go to the site? Were you not going to make a purchase if only the organic search results showed? The ad unit gets credit for your conversion even though a purchase would have occurred regardless.

That’s not to say that search ads or other forms of digital advertising, including display and video, can’t impact consumer behavior. They can and do. Incremental performance is consumer action that would not have occurred if the campaign did not occur. Thankfully, methodologies exist that allow marketers to measure the incrementality of digital advertising — something not available for traditional marketing channels in a real-time fashion. Our retailer would be able to determine what percent of that $25 ROAS was truly attributable — reflecting the growth the campaign caused — and optimize its advertising strategies to bolster it. Alternatively, for a marketer simply trying to drive quality traffic to her site, she can measure incrementality on her campaign to understand how much traffic would not have otherwise occurred, and at what cost per consumer.

THE BENEFIT OF BETTER METRICS

Strong incrementality isn’t easy to achieve. It requires unwavering focus, greater sophistication in marketing strategy and holistic execution to drive consumer adoption. Reaching the right customer at the right time and with the right message becomes even more important. This is where clarity between brand, agency and technology partner — the triumvirate as we like to call it — is needed. Customer insight from the brand’s research can directly inform the digital advertising strategy — whether the brand is trying to expand usage, premiumize or gain new customers.

All this effort to align pays off by driving real growth for the brand. The benefits don’t end there. By focusing on real outcomes, incrementality measurement punishes bad behavior in digital advertising. Traditional digital metrics are relatively easy to fool and bolster “performance” artificially — whether it’s clicks, conversions or another goal. Common bad behaviors include low-quality placements, attribution game playing and cookie bombing.

The latter is notorious in the industry. In simple terms, cookie bombing is the digital equivalent to “spray and pray.” Programmatic buys are set up to serve as many possible consumers at low cost, regardless of the value of the individual and quality of the ad placement. The intent is to trick the mechanism that determines the value of each customer touch point into assigning credit to the impression, even though it likely had no impact on consumer behavior. To accomplish this, the person running the marketing campaign keeps the frequency of ad exposure per individual low.

With that in mind, cookie bombing is counterproductive if incrementality is being measured. Low quality and engagement activity that doesn’t drive real outcomes won’t receive credit. In fact, we’ve found that achieving incremental growth often requires relatively high impression frequency levels and more viewable, engaging placements to make sure the advertisement is noticed, internalized and influential. An agency or platform that was cookie bombing to “achieve” the marketer’s goals would need to overhaul their buying strategy to be centered on outcomes that matter.

GETTING STARTED WITH INCREMENTALITY

Are you already picking up the phone to call your agency or technology provider to discuss measuring incrementality on your campaign?  Awesome. Properly vetting an incrementality method is just as critical as recognizing the importance of measuring it in the first place. There are a number of different methods for measuring incrementality and, unfortunately, many are flawed in their approach and prone to data contamination and false reads. A simple rule of thumb is that you should be able to understand how they determine incrementality while knowing only basic algebra. Anything black box or otherwise hard to follow without a statistics degree is probably more complicated than accurate.

Once you determine the right method, it’s then about setting realistic incrementality goals for your campaign. If measuring ROAS, your brand’s marketing mix results are a great place to start. Marketing mix automatically measures the incrementality of your advertising activity, and can provide a starting place for what is a good result. In addition, you should take into consideration where your brand is in its lifecycle (e.g., still conquesting or mature with a large habituated customer base). The size of a brand directly impacts how difficult it is to achieve incrementality. Think of it this way — the bigger the brand, the more likely it is that your advertising will hit consumers that are already habituated customers (i.e., unlikely to change short-term buying behavior), and it becomes harder to find high-value net new consumers in general.

For every brand, success means driving growth. When we measure incrementality in real-time and optimize our programmatic marketing efforts towards it, we deliver the best results for our brands in the short- and long-term. Getting there requires a shift in mentality — both in terms of how brands and agencies work with their programmatic partners and how advertising strategy is executed through digital. In the end, it is all worth it. Sound programmatic tactics are rewarded, there is more transparency in campaign performance and a brand’s strategy and goals are placed where they should be — at the core of every decision.

DataTechnologyUncategorized

“Walled Gardens”—Automatic Trading Needs an Independent Player

May 16, 2016 — by Viktor Zawadzki

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This byline originally appeared in German in the publication absatzwirtschaft. The below is a translated version.

The marketing ecosystem currently suffers from two developments that can fall under the heading, “conflict of interest.” Firstly, closed systems like Google’s, also known as “walled gardens,” limit the effective use of a marketer’s own first-part data outside of that platform. Secondly, some companies dabble in representing both the sell side and the buy side and thus increasingly fall in the crossfire between the two. A similar conflict happens when companies that operate media-buying software also sell inventory, as this muddies the waters for advertisers who want to use that platform to buy impressions on other sites.

Walled gardens: competition at the expense of advertisers

The latest trend in online marketing is towards closed systems. Advertisers can bring their critical and proprietary data into the platform and often get great scale which begets good performance. But they cannot export data from current campaigns operated within these systems and use them in campaigns executed across other media-buying platforms. For example, information gathered by advertisers on potential and known customers within campaigns on Google’s platform is useless for Condé Nast or Hearst. This example illustrates the conflict of interest inherent in walled gardens: Each consumer is treated in a disjointed manner across devices, campaigns and offers, preventing the inherent power of programmatic to address consumers across devices and contexts in a holistic and relevant manner.

The basic principle in the optimization of campaigns is that no conflicting objectives must be defined. Surprisingly, however, there are still companies in programmatic who represent both the sell side and the buy side. This cannot work, since the publisher is trying to achieve the highest possible price for their inventory, while the buy side has the aim to purchase relevant advertising in placements as favorable as possible for reaching their desired audience. Which of the two objectives does a service provider who wants to represent both sides prioritize?

Conflict of interest: sell and buy side from one source

The devil is also elsewhere in the detail: The purchase of impressions by an independent third-party is less likely to be undermined by competing interests than shopping on a platform that offers self-owned and operated inventory. Independent marketing operating systems purchase from a wide range of a range of publishers as needed to meet the advertisers’ priorities. By contrast, using Google’s software to buy impressions on Facebook or other sites presents a conflict as Google might show a preference for its own inventory.

In the long-term, the advertiser will vote on walled gardens and the various providers of marketing technology by how they allocate their budgets to each platform. Call on providers that avoid such conflicts to invest in a reliable basis for marketing strategies in the next five years.

DataUncategorized

5 Questions with Bombora

April 29, 2016 — by MediaMath

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I recently had a chance to have lunch with Marc Johnson, CMO of Bombora, which offers a cooperative approach to intent data. With the recent demand for B2B and B2C data, we’ve tightened our partnership with them. We currently have some of the lowest rates for Bombora’s Predictive and Intent data segments, as well as excellent scale with our direct integration. Hence I took the opportunity to learn more about tips to make the most out of B2B data and their approach to business.

  1. When it comes to data, what is the biggest opportunity B2B marketers are currently missing?

B2B marketers are missing out on the chance to use data to align internal teams, specifically sales and marketing. Rather than marketing handing over ‘qualified’ leads and sales attempting to close ‘opportunities,’ shared data about specific customer segments and accounts can help sales and marketing teams, leading to revenue growth.  For example, at one of our customers, field marketing works with regional sales to program in-person events based on data about products for which specific target accounts in that region are currently in market.  This eliminates organizational finger pointing and drives improved revenue performance.

  1. You built the “first-of-its-kind” data cooperative of premium B2B media companies. What was your strategy for building its membership?

Everybody wins.  That is our strategy.  Bombora gives media companies insights into their audiences and the ability to better serve their advertisers.   And we don’t compete with them by selling media.  Quite the opposite, we are helping them effectively punch above their weight against the handful of heavyweights that have seemingly unlimited scale and resources.  This has been critical in building membership to over 2,500 B2B websites encompassing more than 9 billion monthly interactions.

This approach extends as well to activation and distribution partners that Bombora enables by putting “intent inside” their applications—from programmatic media to content personalization to predictive lead scoring to good old-fashioned email—making their offerings perform better.

  1. You say in a B2BCommunity article from earlier this year that “record-off-the-needle moments” are plaguing today’s marketing efforts. Is there a worse-case scenario than just not reaching your customers as a consequence here?

When you blast irrelevant content into the marketplace willy-nilly, you will, at best, be ignored by your customers.  At worst, you will do irreparable brand damage and lose the opportunity to interact with them, especially if you are using a targeted approach to irrelevant content. A prime example of this is an overzealous lead nurturing program, in which a prospect need only download an educational (a.k.a. upper-funnel) white paper and instantaneously receives a hardcore cold call (lower-funnel) from a rep at the vendor promoting the whitepaper.  This instantly destroys the value created by the content and sets the relationship back to square one.

  1. You talk about how the B2B buyer journey now includes many different roles, not just senior decision makers. It’s likely also fragmented amongst channels. This presents a lot of multi-channel targeting challenges and opportunities. How do marketers get started?

Research studies have shown that up to 17 individuals can be involved in a B2B buying decision. Indeed, according to a recent Deloitte study, only 38 percent of companies are functionally organized. This means that all types of folks, from interns to executives, are influencing buying decisions well outside of what their stated functional area and formal title would indicate.

The key element to remember about B2B buying is that, as Jonathan Becher of SAP said, “Big glass buildings don’t buy software, people do.”  So start at the individual buyer and influencer level and build out and operationalize personas for what your existing customers and engaged prospects are looking for and the channels they use.

  1. You are referenced in a recent whitepaper by Lattice Engines talking about Account-Based Marketing. What are some tenets of the content strategy that should power such an approach?

Embrace the adage “Content that aims to educate, sells.  Content that that aims to sell, doesn’t.”  The first step is listening.  For Bombora, that means mining intent data to understand what topics are surging (or trending) at specific companies and locations, and using that data to fulfill the informational need of prospects.  This idea of buyer need, rather than vendor pitch, is core to Account Based Marketing.

DataEventsTrendsUncategorized

Tips for Mastering Mother’s Day 2016

April 19, 2016 — by MediaMath

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Mother’s Day is the third biggest retail holiday of the year in the US according to eMarketer. Last year, the average US consumer spent $173 (up from $163 in 2014) on presents for mom, for a combined total of $21.2 billion on Mother’s Day gifting according to the National Retail Federation. The time to start planning your Mother’s Day campaign launches is now, and we’ve got some tips to help. Here is a tease of some of them—you can download our full analysis of Mother’s Day campaign trends, plus campaign optimization tips, here:

  • CPMs spike 11 to 15 days before Mother’s Day, and half of all conversions occur between 10 and five days before the holiday. In order to ensure delivery during this peak time, increase bids at least two to three weeks prior to the holiday.
  • It’s interesting to note that the majority of campaigns we saw were in the consumer goods category but the highest conversions were in clothing and accessories. To make sure you are reaching the right audience in your vertical, include Mother’s Day-specific CTAs, which tend to help ads convert better, and DCO for targeting your holiday browsers.
  • According to eMarketer, the most common way in which smartphone owners in the US planned to use their mobile for Mother’s Day shopping in 2015 was researching products and comparing prices (25%). This highlights mobile as a crucial touchpoint along the path to purchase this holiday. It’s more important than ever to develop mobile-specific initiatives as well as run desktop display. Utilize mobile-specific targeting (including creatives) where possible.

Get the full copy of Mastering Mother’s Day: An Analysis of Campaigns from 2012 to 2015 & Tips for 2016.

DataEventsTechnologyTrendsUncategorized

Webinar Alert: Powering Cross-Channel Customer Experiences with Real-Time Data

April 15, 2016 — by MediaMath

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Marketers want to connect with consumers—but they struggle to understand them and connect the dots across the increasing variety of channels and touch points. All the data points from interactions and behaviors across both paid and earned media initially appear disparate. With smart use of data and technology, linkages across these channels and devices become possible to get a more unified customer view and drive the customer journey toward your desired outcome.

On April 20th, MediaMath, Tealium, Stratigent and Selligent will host an interactive discussion on the role of customer data in fostering richer customer experiences. Marketers who want to generate better insights, gain more understanding of customers and optimize in real-time action in the channels performing should attend the session to learn more about:

  • Building a technology strategy with customer data at the center
  • Gleaning the benefits of clean, real-time, actionable customer data
  • Better connecting and leveraging your marketing technologies

Register your spot for the event here—we look forward to seeing you on the 20th.

DataUncategorized

5 Questions with Ninth Decimal

April 7, 2016 — by MediaMath

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While at SXSW, I met up with Amy Caplan, VP of Strategic Partnerships at Ninth Decimal. Ninth Decimal and MediaMath work closely together—they were our first location-based audience partner. We continue to look for new and innovative ways to work together to break new ground in the programmatic space. In the short time we’ve known each other, I’ve come to respect Amy as an industry veteran and have also been involved with planning some of her “Women In Technology and Marketing” events. While sipping coffee in Austin, I got a chance to ask her a few questions on her career progression and learn a little bit more about her as well as Ninth Decimal.

  1. Your career trajectory seems to have put you ahead of the curve of digital evolutions, such as your move to HomePortfolio.com, an early player in the online aggregation of the home design industry. What was your process for making these strategic career decisions?

In 1998, when I was asked to join the start-up of HomePortfolio as VP of Sales, I had been at CBS Broadcasting for over 18 years. My career at CBS had been wonderful.  I was given countless opportunities to learn, challenge myself and develop as a professional. It was early days for women in broadcast management. There were few if any women in managerial positions but somehow I did not see the barriers.  I kept going and felt quite supported by my colleagues as my career developed.

By the late ’90s, the Internet was booming. For the first time, I was restless to leave the comforts of the broadcasting world I knew well and take on the challenge of helping to develop a company in the uncharted waters of the “web.” Although I’d love to call the decision “strategic,” it was all gut. I could feel that the world as I knew it was in the grip of a once-in-a-lifetime change and if I did not jump in, I would find myself on the wrong side of history. There are moments when gut trumps strategy and, looking back, I am grateful to have jumped and not over-thought my way out of the extraordinary opportunity that I had been offered. Had I fully understood what I was getting myself in to, I believe I never would have taken the plunge.

  1. What was the learning curve like to make that transition? Was it tough?

The learning curve involved in the transition from the “layup” of selling CBS news and sports to selling an Internet product no one understood, from a company that no one had ever heard of, was extreme. We had the weight of investors on us as a daily “full court press.” Producing and making the most of the moment and the marketplace was not an option. Necessity being the mother of invention, I did what had to be done to learn, get up to speed and get a product in the market that customers would buy. I have never learned so much, so quickly under teeth-grinding pressure, and I am so grateful to have opened that crazy door to HomePortfolio in 1998. I have never looked back.

  1. You host “Women in Technology and Marketing” dinner events. What are some of the topics you think should be on the radar for women in tech in 2016?

We started hosting these events to give women who sit in leadership positions in our business a place for community. We know well the strength of communities of women to accomplish what they have determined to be of importance.

Our focus has mainly been trying to understand why there are so few women in the “C” suite and on company boards. We challenge ourselves to not only understand the diagnostics of “why” but further to identify why the industry is compromised by not having women at the “table.” I do believe that as a result we have created strength in the community, a shared purpose to up our game in identifying more opportunities and a determination to help other women along.

  1. Having met you at CES earlier this year and now at SXSW, how do these environments help facilitate connecting with the audience you’re trying to reach?

All industry gatherings represent ideal opportunities to gather women together to continue these conversations. As a matter of fact, being at conferences such as CES, SXSW, Cannes, MWC, the optics alone tell the story.  It is abundantly clear when the industry gathers that there is a lack of women present. We attend the sessions, we learn and we feel inspired by the innovation. We then sit at the table of women and challenge ourselves to identify how our skills and accomplishments can add unique and important value to the development of the industry. 

  1. Your CEO Michael Fordyce recently wrote that, “Data is at the front and center of our industry conversations, and this is the year where brands truly realize and embrace the significant power of real-world data.” Why will 2016 be the year?

Companies are awash in data. The eco-system offers companies endless choices of how they can ingest that data to better understand their customers and their opportunities. What Mike is referring to and what we know well at NinthDecimal is that no matter how much data they have, there is no substitute for that simple, but powerful, real-world behavioral data. 

I work with multiple Fortune 50 companies with the most sophisticated systems for managing their customer data, and yet they have no information about what their customers are doing in the real world. As an example, think of a luxury car company that is targeting “in-market” auto intenders. Through existing data, they can see what their prospect searches for, which sites they go to, their relevant input on social media and what they “like.” All of these are important inputs that help the brand understand their prospect. Real-world data and only that data can tell that car company that their prospect was at dealerships. Our data fills in that “blind spot” to allow brands to see that essential signal of where their prospect goes in the real world.

DataUncategorized

Take Comprehensive Control of Your Marketing Ecosystem: MediaMath and IBM UBX

April 1, 2016 — by MediaMath

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This post originally appears on IBM’s Commerce blog.

The marketing industry is rapidly shifting from broad to narrow audiences, from siloed channels to crossing display, social, mobile and video, and from counting clicks to declaring success based on customer delight. MediaMath has long been addressing this changing pace, supplying marketers with a global infrastructure to reach their targeted audiences at the scale needed to achieve business outcomes.  Through partnering with IBM UBX, MediaMath is empowering marketers to:

  • Target and anti-target in-store audiences based on in-store behaviors in MediaMath’s TerminalOne.
  • Use behavioral data from IBM Marketing Cloud to determine which ads users should see next.
  • Leverage behavioral data from IBM Marketing Cloud to understand where impression dollars are most likely to drive conversions.

goal based marketingWith this collaboration, a continual conversation across email and paid media channels is being built. Now you can tailor ad creative to your customers based on the email or push content most interesting to them. Through IBM’s Universal Behavior Exchange, all customer interactions are portable between IBM Marketing Cloud and MediaMath, making behavioral data more actionable in MediaMath’s TerminalOne and IBM Marketing Cloud than ever before.

 

“Marketers can really get an understanding of where all of their dollars are being spent.” – Chris Victory, VP Global Partnerships, MediaMath

Download or view the MediaMath use case:

 

This feature is part of the UBX Business Partner series. Stay tuned as we showcase our flagship UBX Business Partners through blog posts, use cases and videos over the next few months.

DataUncategorized

‘It’s a Problem, but we can Fix It’: Marketers Vow to Defeat Ad Fraud

March 17, 2016 — by MediaMath2

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In a Campaign Asia-Pacific article written by Will Clem, the piece covers a panel discussion on programmatic buying at the Media 360 summit in Hong Kong last month. Marketing executives from across the globe shared their insights on the programmatic ecosystem, including the topic of ad fraud and how to tackle the issue. Below is an excerpt from the article:

The massive scale of ad fraud has been in the headlines recently, but while it needs to be treated seriously there is no reason to startle the horses too much, the panel concluded.

“Even though it is a problem, it is flexible,” said James Sampson, vice-president and general manager, APAC, of DataXu. “Bots are getting more sophisticated. People can build things that actually look like people. They browse, they click things, and they pause. That makes them harder to spot, but it can be done.”

Sampson was moderating a panel on ‘Fraud and trust in programmatic buying’, addressing a packed room in one of the summit’s afternoon discussion tracks.

“More and more is being transacted this way, so more and more is being measured,” he said. “We can look at things that we never used to be able to see. Everybody is looking at this and taking it very seriously.”

Sam Ahmed, SVP and head of marketing for APAC, Middle East and Africa at MasterCard, said that while programmatic was in its infancy, credibility was crucial and the problem of ad fraud could damage “the whole ecosystem”.

We can’t lose credibility in this area for the business,” he said. Although fraud is not “very prevalent”, “It is bad for your business — all of us in the industry need to look out for fraud,” he said.

The panel of four agreed that while genuine, the risk of ad fraud was far outweighed by the savings and efficiencies that programmatic buying made possible.

Read the rest of the article at Campaign Asia-Pacific.

DataMediaUncategorizedVerticals

Download Our “Optimizing for Easter” eBook

March 15, 2016 — by MediaMath

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Easter marks the start of the spring gift-giving season and also grabs attention from consumers looking to switch out their wardrobes, spring clean and get a start on their backyard gardens. But unlike the Q4 gift-giving holidays, there’s not as much of a lead-up to Easter (who knows, maybe there will be a Black Friday for Easter in years to come).

Given that Easter marks a more condensed gift-buying period, we decided to look back on data from our 2015 Easter campaigns to analyze fluctuations in CPM, CPA and conversions for this spring holiday and offer some tips for optimizing campaigns this year. Download the “Optimizing for Easter: A Quick Analysis of our 2015 Campaigns” eBook here to learn more.

DataTechnologyUncategorized

5 Questions with our Partners at RampUp

March 14, 2016 — by MediaMath

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RampUp is LiveRamp’s annual summit that brings together 1,000+ decision-makers from brands, agencies and marketing technology companies to discuss data-driven marketing. Key themes at the forefront of the event include best practices in data strategy and quality, connectivity, ad tech consolidation, emerging technology expansion and the customer journey.

MediaMath had the pleasure of being a gold sponsor, for the second year in a row at this esteemed industry event. As part of the Data and Technology Partnerships team, I had the opportunity to chat with many of our partners over the course of the two days. Here are some snippets of the conversations I had:

David DeRobbio

Vice President, Global Partnership Development at Acxiom

Question: How has RampUp evolved from your perspective?

Answer: The attendance from an overall numbers perspective was very impressive—the first Ramp Up was a few hundred people in a small event space in the Silicon Valley. This year there were over 1,800 attendees at the Fairmont in San Francisco, with tremendous industry buzz and anticipation.  Acxiom LiveRamp was also extremely excited by the diversity of the attendees – Advertising Agencies, Marketers, CRM Management, Cloud Services, DSPs, DMPs, Publishers, Manufacturers.  The many different parts of the advertising business came together in force around “connectivity.” We saw much more interactivity from the attendees around the content – more creative panels, more engagement around the subject matter, attendees truly leaning in.  We’ve since received some amazing feedback regarding the event space and the overall flow of the event (cocktail hours, lunches, etc). The connection time that Acxiom and LiveRamp were able to have with current and potential partners moved business forward by leaps and bounds.

Jennifer Monteverde

VP, Channel Partnerships at AddThis

Question: We hear that AddThis look-alike modeling is a great way to improve audience scale with online or offline data. Do you have any tips for clients that want to build look-alikes with their onboarded first-party data?

Answer: Sure! As you mentioned, look-alike audiences are ideal for targeting highly qualified users at scale. Here are a few tips to ensure a strong foundation for building successful look-alike models:

  1. The quality of your seed audience is essential to the success of your campaign. This may seem basic, but it’s crucial to thoroughly QA your offline data file before you onboard. It would be a shame to model and activate against an inaccurate or incomplete data set.
  2. Do your due diligence in evaluating your onboarding partner. The success of bringing offline data online, hinges on your onboarder’s deep partner network and their match rate to online UIDs. The better your match rate, the better your seed audience, the more successful your look-alike!
  3. And finally, evaluate your data provider before modeling. Once your first-party data is online, it’s important to make sure you are modeling against a high-quality third party data set. An ideal provider has a data footprint big enough to yield a high match rate to your onboarded data and a rich signal for scale.

Joy Stroud

VP, Business Development & Sales Strategy at Spongecell

Question: Spongecell’s programmatic creative offering leverages various signals which a client can use to achieve their campaign outcomes. What are a few of Spongecell’s best practices if a client wants to onboard their offline CRM for dynamic creation decisioning?

Answer: Campaigns often have to reduce audience granularity in order to scale on the media side. On the creative side however, you’re able to re-apply that granularity to personalize your campaign messaging. You’ll want to ensure each creative variation is running enough impressions to generate statistically relevant data of course, but your impressions will work harder for you if you can tailor your messaging based on audience attributes, past purchase behavior, etc. We also always recommend leveraging our Creative Auto-Optimization, which helps predict user behavior to serve the most relevant creative content to each audience segment and continually optimizes towards your primary campaign KPI (typically engagements, clicks or conversions).

Luke McGuinness

Head of Data Partnerships at Liveramp

Question: What are some things LiveRamp is doing to help brands work better with their data and technology partners?

Answer: We have a few initiatives that speak to this.  One in particular is that we’re working more closely than ever with our data partners to help them gain access to additional distribution outlets for their data, leveraging LiveRamp’s integrations and relationships.   Something we’re hearing consistently is that they struggle with making their data broadly available for use.   Given that LiveRamp is the starting place for a lot of this data to make its way online, we are helping these partners deliver maximum reach for their data on MediaMath and other technology partners.   For brands, this translates to greater scale of audiences available for use in marketing execution.

Christopher P. Curtis (“CPC”)

VP, Business Development, Data Products at Connexity

Question: From attending the talks and session, what do you think are the top opportunities and challenges for marketers in 2016, especially when utilizing shopper data like yours?

Answer: Connexity is a data and analytics company with deep roots in online shopping and data driven marketing, so RampUp was the perfect place for us to be.  I’ll frame my answer here around two of the major themes we saw unfold in the sessions and hallways, as I see the opportunities and challenges for using shopper data like ours aligning nicely with these.

  • Theme #1: Do more with your 1st party data, it’s your best data asset
  • Theme #2: Interoperability and data flow is key

OPPORTUNITY

For Theme #1, the message was loud and clear in nearly every session…your 1st party data is your best data asset, so put it to use!  But in addition to the tried and true ways of straight onboarding and retargeting, there was a push to also find unique ways to get more miles and more business out of it.  In terms of working with Connexity shopper data, we have been working with marketers for multiple years to ingest their 1st party data to build look-a-like or shop-a-like models.  We find that for retailers and brands in particular, our rich proprietary data feature space of categories, brands, products, and declared demographic data is very effective at helping to discover prospecting opportunities for new to file customers or the right audience for a specific branding initiative.  We do this for dozens of retailers and brands across retail, tech, and CPG today.

CHALLENGE

For Theme #2, the data flow topic was best covered by Joe Zawadzki, CEO of MediaMath, when he said, “Interoperability is the watchword. How do you get the data to flow?”  At the end of the day, marketers need to choose the right platforms to make sure data points can get connected properly.  LiveRamp and MediaMath are platforms that lead in these areas.  Through both of them marketers can tap into Connexity data in a number of ways.  But if you choose a platform that isn’t well plugged in, it may be difficult or impossible to work with Connexity data or other shopping data sources.  Overall, a lack of data flow and high match rates across platforms remains a huge issue for marketers who must deal with multiple identities for the same consumer.  The experts at RampUp agreed that this interoperability is unlikely to be solved by the likes of Google or Facebook, which profit from keeping their consumer insights walled off. If the rest of the industry could take the lead in connecting the dots for marketers, it could create a strong competitive advantage.

We can’t wait to see how the RampUp 2016 themes impact the industry this year.  To be honest, we are already seeing the ripples, and I am sure the waves aren’t far behind.

Click here to read the other “5 Questions” posts.