Archive for ‘Display’

3 Cross-Channel Advertising Strategies for Search, Social, and Display

By August 11th, 2015

Over 65% of online revenue now comes from purchases made across more than one digital channel. With this in mind, it’s essential that marketers use cross-channel strategies, rather than just looking at each digital channel in a silo. Using the right technology, you can reach the same users across search, social, and display, engaging with audiences on one channel based on their profile and activities on another.

Here are three strategies to survive – and thrive – in a cross-channel world.

1. Cross-Channel Remarketing for High-Cost Search Keywords

Competitive search terms can be expensive. Using cross-channel remarketing for high-cost search keywords can save money while still serving ads to users who’ve shown search intent. Using remarketing lists for search ads (RLSAs), you can make sure the same user doesn’t click a search ad more than once, but still retarget them using social and display – where the CPC is a lot cheaper. For example, an insurance company may not want to have to pay for two expensive, generic insurance search clicks from the same user. Suppose that user visits the company’s website via a generic keyword. The company can use negative remarketing lists for search, but pass the search intent data to social and display channels and spend less on remarketing.

2. Expand Search Targeting Using Social Signals

You may want to use more generic keyword targeting on search for users that you know have visited your website through a social channel. Users visiting your website through social have shown some brand affinity, so there’s less risk with wider keyword targeting to this audience. For instance, the keyword “dresses” may be too generic for a retailer to target without any social signals from the user. But, if the retailer knows the user has some brand affinity, they may want to bid on these keywords for this audience. By creating an RLSA campaign with more generic keywords just for this audience, advertisers can expand targeting while maintaining performance.

3. Search Intent Social Lookalike Modeling

Lookalike audiences let you reach new prospects who are more likely to be interested in your business because they’re similar to audiences who’ve visited your website or performed a desired action. Using search intent data for lookalike modeling allows you to build lookalike audiences based on how users have performed a specific search, or who have shown specific search intent. For example, a travel agent may want to reach potential travellers looking for luxury hotels. The agent could use their search intent data to build a Facebook Custom Audience website campaign for prospecting, based on people who searched for upmarket hotels and landed on the website.

Each digital advertising channel has its own unique benefits, data sets, and targeting options. By utilizing cross-channel advertising strategies, advertisers can take audience information from one channel and use it to optimize campaigns on another.

How to Design Ad Campaigns that Resonate: Combining Intent and Personas

By August 6th, 2015

As we delve deeper into audience marketing and programmatic, we often talk about this ideal scenario of delivering the right message to the right person at the right moment. However, in that scenario, often times the focus on the “right message” gets buried. Acquiring data has become easier and more automated, but the same can’t be said for delivering a compelling experience to the customer. While tools like dynamic product ads improve the efficiency of creating millions of different versions of ads, they still don’t help marketers figure out the most important part: what’s the right hook that will convince your audience to pay attention. Figuring that out is still a very manual, creatively driven process.

In working with our clients, we’ve learned that developing the “right message” requires discipline and communication between the data analysis and creative parts of the organization. Here are three basic steps you should be taking:

Step 1: Know Your Audience; Use Personas

Knowing your audience starts with being able to paint a vivid picture of each customer – knowing their needs, their aspirations, and their goals. The best way to do this is ensuring you have accurate, compelling, and useful personas of your target audiences. The best personas are an amalgam of both qualitative and quantitative insights. The Nielsen Norman Group offers a great primer on developing data-driven personas.

Step 2: Categorize Your Intent Data

Once you start collecting intent data, it won’t be long before you find yourself being deluged by it. The challenge we face constantly is figuring out how to categorize data in the most useful ways.

There are two basic ways we start categorizing intent data – the first is based on signals that indicate how likely a user is to take an action, the second is signals that show how valuable that user might be. By mapping these segments, we can start to build a narrative of where they are in the buying cycle, and what messages might resonate with them.

Step 3: Think “Personal” Not “Programmatic”

In the equation of being in the right place at the right time with the right message. Having the right message is the most important part of that equation. Studies have shown that creative quality, not targeting or optimization, is the primary reason why brand campaigns succeed or fail.

However, developing “good” creative is easier said than done. The key takeaway is that while dynamic advertising will help operationally, simply rotating a never ending stream of images, copy and colors, to try to hit upon a “winning” combination will not deliver an ideal customer experience. It is essential that any design and copy template start by speaking the right language, is considerate of where your customers might be in the funnel, and takes into account the contexts where they’re going to encounter your ads.

By leveraging intent data with your existing understanding of your customers, you can start making your data work harder and smarter for you. Optimized targeting and compelling, customer-first creative is a powerful combination that will help you drive incremental results.

How to Determine Optimal Frequency Caps for Retargeting

By July 22nd, 2015

If you manage retargeting, frequency caps are something you should be familiar with. They’re often neglected and never tested because they’re not straightforward, but not knowing what optimal frequency cap to use can result in poor results. Like any of the other levers within retargeting, frequency caps should be measured and tested to understand the ideal number of times a unique visitor should see your ad – otherwise, you’re wasting a lot of impressions.

The last thing you want to do is cause banner blindness by overexposure, or even worst – irritate or creep people out to the point where it tarnishes your brand. Having a frequency cap in place limits the number of times a visitor sees your ad over a period of time. It’s important to find that sweet spot; otherwise, you risk running a campaign that doesn’t generate enough impressions to keep your brand top of mind.

You’ll find unproven answers and “best practices”, but the reality is there isn’t one number that works for every single advertiser or industry. If it were really that simple, it would be pre-defined for you. The challenge is to figure out how much is too much and what frequency cap you should use. The best frequency cap is the one that works best to drive results for your business.

Let’s walk through how to test and analyze the initial frequency cap for your retargeting campaigns, then how to optimize to determine the best frequency cap.

The Test Method

If split-testing frequency caps were easy to do, there’d be numerous articles explaining how to do it. It’s difficult to truly test it simultaneously, but here’s one way to approach it:

  1. 1. Begin by setting up two retargeting lists that are similar to one
        another, but not overlapping.
  2. 2. Set your desired cookie duration, which should be identical for
        both lists.
  3. 3. Create two campaigns promoting the same assets, one for
        each retargeting list, and set the campaign to rotate the ads to
        serve evenly.
  4. 4. Input your desired frequency caps in the individual campaigns
        to test against, analyze, and continue playing around with the
        different frequency caps.

You could also try testing only one retargeting list, changing the frequency cap week over week over a period of time, and then evaluating the results. However, there are many factors that may affect the results, and it won’t be as clean as the method above.

Performance Results Analysis

Let’s analyze the results of the tests. For this part, you’ll need to know your way around pivot tables and creating simple formulas.

  1. 1. Run and export an ad frequency report for the desired
        timeframe from your retargeting platform.
  2. 2. The data you should have in the report is: Impressions,
        Frequency, Clicks, Spend, and Conversions or Revenue, as
        well as any other important metrics to measure success.
  3. 3. The next step is to create a pivot table that sets Frequency as
        the row label. Sum up the rest of the data points mentioned in
        #2 under the values section of the pivot table.

Pivot_table

  1. 4. If not present in the report, create the following calculated
        fields in the pivot table to calculate: CTR, Conversion Rate,
        and Cost Per Conversion or ROAS (whichever is relevant for
        you). You should have a table that looks like this dummy
        example:

Calculated_fields

There are two things important to monitor: click-through rate and conversion rate. If you click each frequency number and group them one by one, you’ll be able to see where the majority of your conversions fall. It’s clear from this table that the CTR starts to drop after the second cap, but the conversions are highest and most efficient in costs at one to two caps. Based on this example, I would set my frequency cap at two.

Happy retargeting!

Audiences: the Heart of New Acquisition Strategies

By July 21st, 2015

The online customer purchase path has become way more complex. If marketers want to develop a relevant and efficient online acquisition strategy, they have to fully understand this new online purchasing landscape.

The online advertising world is traditionally “ad centric” – campaign performance is measured for a given format and on a specific channel. Now, it’s evolving into a “customer-centric” model, where performance is measured and analyzed at the user level (i.e., its overall acquisition cost, regardless of the channel or formats being used). The move from a silo to a cross-channel vision allows advertisers to allocate ad investments more wisely, avoiding excessive spend on a single user. If you’re a marketer who’s willing to create a unified strategy for your ad campaigns – across Search, Social, and Display channels – then audience targeting and use of first-party data are vital necessities.

The Audience Is the Glue and Cement Between Channels

Did you know that 98% of website visitors don’t convert on their first visit? To send them back to your website and directly to the bottom of the celebrated conversion funnel, you have to retarget them one way or another. This is especially important for marketers who:

  • Invest heavily to acquire high levels of web traffic
  • Want to ensure the right use of their website across diverse channels
  • Are trying to take strategic advantage of these channels – whether it’s Search (Google AdWords, Bing, Yahoo Gemini), Social (Facebook, Twitter, LinkedIn), or Display (network and banner publishers, video)

Because of the obvious link between search intent and the related click action, until recently, no channel was able to compete with Search. However, this is changing, due to technologies that focus on audiences and are able to leverage substantial volumes of data.

Now, advertisers no longer rely solely on what customers are searching for (queried keywords). They’re also leveraging multiple behavioral and demographic data from other channels. The marketers’ goal is to identify, segment, target, and retarget the audience with the highest customer lifetime value, across different channels and devices (smartphones, tablets, and desktop) in order to maximize conversion rates.

Leverage Customer Intent and Behavioral Signals – Building First-Party Data

Your website is still the best source of information on user behavior, since you can easily analyze browsing patterns (number of page views, shares on social media, cart abandon, etc.).

This information allows you to identify trends and define various profiles according to your performance goals. For example, a user who’s seen 10 different pages has a tendency to convert more frequently than someone who’s seen only one.

You can enrich these website profiles with other data (internal or external to the site) in order to build powerful data combinations. Two types of data that always seem to be inescapable: intent (via search engine) and demographic.

Combining the windfall of useful information from search campaigns with demographic targeting insights from social campaigns, you can refine your user profiles for more optimized retargeting campaigns.

By cross-checking this audience data, you can better understand your prospective customers while improving the efficiency of your online campaigns. And, you can more precisely target your most important user segments. Indeed, these audience lists can be used across your three ad campaign types:

  1. 1. Search – Google Remarketing Lists for Search Ads (RLSA)
  2. 2. Social – Facebook Website Custom Audiences (WCA) and
        Twitter Tailored Audiences
  3. 3. Display – ad exchange platforms (programmatic), Facebook
        Exchange, and DoubleClick Ad Exchange

To provide a real-world example: Someone starts his purchase journey on a search engine with the term “cheap hotel in London”. Then, he clicks the text ad without converting. You could add him to the audience list that includes people interested in the “London” destination with an intent of “cheap”. You can then implement a targeting campaign for this list by bidding differently on each channel to optimize its cost of acquisition (for instance, Search at -20%, Social at +20%, and Display at +10%).

Improved Campaign Performance, Unified Management

Looking at the customer purchase path, it’s obvious that each channel has drastically different roles and impacts on final outcomes. For example, Search is more likely to generate direct sales, while Social and Display have more supporting roles. According to a Marin Software study, Search campaigns – when jointly managed with Social – generate 26% higher revenue per click compared to single-channel campaigns. This type of unified management strategy also improves revenue per conversion – Search campaign revenue per conversion was 68% higher when managed simultaneously with Social.

Marketers who successfully leverage unified Search, Social, and Display strategies experience better managed and optimized online acquisition spend. By firmly shifting focus to your audience, you can maximize lifetime value and overall ROI. Using a flexible and transparent platform that enables you to precisely segment and target users on all channels allows you to more effectively achieve your business goals, while evolving away from a single-channel approach.

The 8 Players in the Programmatic Ecosystem

By July 16th, 2015

Programmatic is hot right now. eMarketer predicts that by 2016, programmatic spending will top $20 billion, making up 63% of all US display ad spending. As quickly as it’s growing, though, programmatic has some serious terminology and conventions you have to learn if you want to consider yourself an expert. And once you get started, you may feel like you’re drowning in a sea of programmatic jargon, lingo, and acronyms.

The programmatic ecosystem is large and wide – but not impassable. A good way to start the journey is getting to know the 8 major players in the ecosystem, as well as their main functions.

1. The Advertiser

If you’re reading this, this is probably you. The advertising world wouldn’t exist without the companies that buy the ads.

2. The Publisher

Publishers are all the publications, web sites, and mobile apps that create and deliver the real value – the content – as well as the ad space that advertisers buy.

3. Ad Exchanges

Ad exchanges are the backbone of programmatic ad buying, and a major driving force for the display advertising renaissance over the past few years. Ad exchanges are essentially marketplaces where advertisers and publishers buy and sell ad space programmatically. Publishers make their inventory available and advertisers then bid for those ads, often in real-time, based on how much a particular visitor is worth to them.

4. Ad Networks

Ad networks are like the older, less capable big brother of the ad exchange. Like ad exchanges, ad networks aggregate inventory across multiple publishers and package it up, helping advertisers buy ads at scale more efficiently. Because they can still be a simple, efficient way to scale your media buy across a large number of publishers, they’re still relevant in this age of programmatic. Still, ad networks don’t offer the same targeting sophistication that ad exchanges do.

5. Data Management Platforms (DMPs)

Advertisers use DMPs to collect, store, and leverage their first-party audience data. DMPs also aggregate data from third parties and make it available to clients to use in their advertising.

6. Demand-Side Platforms (DSPs)

A demand-side platform is a tool that enables marketers to bid on and buy ads from ad exchanges. There are some big differences between the different platforms out there, so be sure to determine what’s most important to your business before investing in one – for example, access to data, quality of reach, transparency, etc.

7. Supply-Side Platforms (SSPs)

Advertisers use DSPs to buy ads on ad exchanges. Publishers use SSPs to sell their ads on ad exchanges. It’s basically the mirror opposite.

8. Agency Trading Desk

Agency Trading Desks (ATDs) are essentially the media buying and reselling arms of major advertising agency holding companies like WPP, Publicis, and Interpublic. ATDs reflect a mix of people and technology. While media is often bought programmatically using technology like DSPs and DMPs, it’s then resold to advertisers as a managed service.

These eight players are just one piece of the programmatic puzzle. For a more complete discussion – including how data, targeting, and retargeting figure in – download our full white paper, The ABCs of Programmatic.

Your New Audience Awaits: The Power of Second-Party Data

By July 15th, 2015

Advertisers cite data quality as one of their top concerns in creating complete customer profiles. Many advertisers are still looking for ways to expand the reach and effectiveness of their campaigns with strong, quality data. Being able to effectively synthesize different sources of data is a key step in this process. While first- and third-party data are most common and have their own, unique strengths, second-party data is making a big splash – and quickly becoming the life of the party.

First- and Third-Party Data Aren’t Enough

First-party data is your data, collected from your own audience and customers. It’s unique, cost-effective, and relevant. However, it has scalability issues since – by its very nature – it’s not designed to locate and target additional audiences.

Third-party data is data from an external source, aggregated and sold to advertisers for use in display campaigns and analytics. It has equal-but-opposite issues – it provides a good overall look at a segment or market, but is not unique and less relevant.

Second-party data allows advertisers to bridge the gap between the two.

Second-Party Data to the Rescue

Second-party data is data received from a trusted source that an advertiser has a direct relationship with. Not only is it scalable – unlike first-party data – it’s also more reliable than third-party data. Second-party data allows you to expand audience reach with accurate data from a trusted partner, whereas third-party data is unreliable due to how the audiences are compiled – information can quickly become outdated.

As a modern marketer, you need to use all the tools at your disposal to best reach and target your audience. Using a healthy mix of all three data types can help you optimize your campaigns and reduce costs, while reaching larger portions of your target audience.

To learn more, read Marin’s white paper – The Power of Second-Party Data: Partner with Trusted Sources to Discover New and Valuable Audiences.

5 Best Practices for Cross-Device and Mobile Retargeting

By April 21st, 2015

In the first two ‘Going Mobile’ posts we explored how cross-device matching works and how ads are targeted and delivered to those users. In this long overdue post, we’ll go from the theoretical to the practical and go through some best practices for getting the most from your cross-device retargeting campaigns.

1. Figure out what your goals are

This is the basic step that should kick off any marketing campaign. Determine what you want to accomplish. Cross-device retargeting can help you accomplish four general goals:

  1. Build awareness: Do you want to keep your brand in front of your potential customers at the right moments?
  2. Facilitate acquisition: Did your visitor view a category or a product on your web site? Is there a potential next step you want to encourage?
  3. Drive conversions: Did the person abandon her shopping cart? Could a little push help complete the transaction?
  4. Reengage: Is there potential for reengaging with existing customers to either cross-sell complementary products or encourage a repeat purchase?

2. Segment your audiences

Creating actionable audience segments is necessary for any retargeting campaign and it’s no different when you’re retargeting users on their mobile devices. When segmenting your audiences, there’s a balance you’ll need to strike with your audience segments – smaller audiences can perform well, but are harder to scale; large, generic audiences can be harder to optimize. For cross-device retargeting campaigns, we’d recommend starting with the following audiences:

  1. • All visitors
  2. • Visitors who have viewed a product or category
  3. • Visitors who have abandoned their shopping carts
  4. • Customers (people who have converted)

3. Choose the right ad format

If you’ve ever done retargeting, the previous two steps should be pretty familiar already. Step three is where some of the nuances diverge. There are two common mobile ad formats used in-app and across mobile web sites:

  1. Mobile Banners display the ad across the bottom of the screen. The most common size for mobile banners is 320×50.
  2. Interstitial Ads take over the screen until the user dismisses it. The most common interstitial sizes are 320×480 or 480×320.

Beyond the obvious difference in size, the two ad formats have distinct strengths and weaknesses.

If you want to drive volume, mobile banners are your best bet, as the available inventory vastly outnumbers mobile interstitial inventory. We’ve typically seen the number of available banner impressions outnumber interstitial impressions by 3-5x. Mobile banners are also significantly cheaper than interstitials. Mobile banner CPMs range from $.50-$2.00+, whereas interstitial CPMs range from $3.00-7.00+. On average, interstitial campaign CPMs are about 3-6x higher than mobile banner CPMs.

Of course, price isn’t the only issue. Part of the reason Mobile Interstitial ads cost more is because they enjoy significantly higher engagement rates. On average, interstitial click-through rates (CTRs) are 3-4x higher than banner CTRs. Based on the campaign and creative quality, we’ve even seen interstitial campaigns with CTRs up to 10x higher than average banner CTRs.

The takeaway here is that, as always, there are trade-offs so it’s worthwhile to test different formats to see which best addresses your specific goals. For scenarios where volume is important, or you’re budget constrained, try testing mobile banner ads. If you’re trying to encourage customer action, then interstitials might be the optimal format.

4. Optimize your creative for mobile

1
Provide a clear and simple value proposition; create a sense of urgency and include vivid, strong CTAs

Creative optimization for your mobile campaigns goes beyond just repurposing your desktop banner ads. Mobile ads give you a unique chance to make an impression. The key to driving performance is simplicity and directness. You’ll want to ensure your mobile ads offer the following:

  1. A clear value proposition. The creative canvas on mobile is relatively limited, particularly if you’re using mobile banners. Keep your message simple and make sure it’s relevant to your target audiences’ interests.
  2. Use strong call-to-actions with bold designs. You have a split second to capture your audiences’ attention; don’t get cute with your CTAs. Use strong, directive language, and make sure the CTA design stands out.
  3. Create urgency. Mobile can be a particularly effective means to get users to take immediate action. Try including an element of limited timing or supply in your message.
  4. Rotate your creative. One of the benefits of mobile advertising is that there’s much less clutter and typically only one ad is shown on-screen at a time. The downside of this exclusivity is that your audience is likely to become tired of your creative much quicker. To minimize banner fatigue, try to create a couple different variations of each ad and rotate them liberally.

5. Measure holistically using view-through conversions

I’ve already beaten the drum pretty soundly on why you should be measuring view-through attribution here. If you’re still primarily measuring performance on a last-click model, mobile might be a good opportunity to also try testing a view-through attribution model. Tracking mobile view-throughs can be especially enlightening if your customers are more likely to convert on desktops or if your ad CTAs drive to a desktop-centric action.

Hopefully these recommendations will help you get a head start with your cross-device and mobile retargeting campaigns!

3 Best Practices for Improving Your Display Advertising Campaigns

By April 13th, 2015

This is a guest post from Sarah Burns, Content and PR Manager at Boost Media.

Managing a display campaign requires a different strategy and set of tactics than managing a search campaign, even if the purpose of both campaigns is to generate new leads. It’s important for marketers to note that performance will differ by network, especially in terms of click-through rate and traffic.

While display ads tend to work well for building brand awareness, the quality of traffic and the clicks and conversions tend to be lower than search ads. Historically speaking, search ads are employed to garner clicks, and display ads are best for gaining visibility. Marketers should determine if the search or display network is best for meeting a specific campaign objective and for attracting more potential customers.

So what can you do to optimize your display campaigns for success? Here are three best practices.

1. Have a clear call to action (CTA)

For most marketers, this won’t come as a surprise: display ads must have a clear and concise CTA. This is especially important in image-based ads because customers may not know what part of the ad is clickable. Bearing this in mind, many marketers often include the CTA in the form of a button to pop from the background image. Keep the CTA brief and direct, for example: “Shop Now,” “Buy Now,” or “Sign Up.” You may also consider testing the button color as well as text to determine what works best in your ad. Help remove the guesswork for your customer by incorporating stronger and clearer CTAs into your display ads.

2. Test, test, and test again

Testing is just as important in display as in search. The testing options are vast, but start with the elements that can most impact your conversion rate: CTA, messaging, and images. Create three to four ads per ad group and test different messaging and images. Then evaluate which ad performs best with your customers and use these insights to inform your overall strategy. Build on what you’ve learned from testing by incorporating learnings into your active campaigns.

3. Manage placement of ads

Placement targeting can bring a new level of control to online marketers in their display campaigns. Third party retargeting tools such as Marin enable marketers to quickly identify high-performing placements to save more money. Accurately valuing display campaigns across the complete path to conversion can maximize your ROI.

For additional best practices and tips for optimizing your display campaigns, sign up for our co-webinar with Marin Software on April 21. Register here to learn more.

About the Author

sarahSarah heads up Content Marketing at Boost Media and leads a team of marketing professionals to drive revenue through complex B2B marketing campaigns in the ad tech industry. Prior to joining Boost, Sarah developed marketing and sales strategy at BNY Mellon, a top 10 private wealth management firm. In a former life, Sarah worked in journalism writing for magazines including Boston magazine, The Improper Bostonian and Luxury Travel. When she’s not writing engaging content, Sarah enjoys cooking, running and yoga.

About Boost Media

Boost Media increases advertiser profitability by using a combination of humans and a proprietary software platform to drive increased ad relevance at scale. The Boost marketplace comprises over 1,000 expert copywriters and image optimizers who compete to provide a diverse array of perspectives. Boost’s proprietary software identifies opportunities for creative optimization and drives performance using a combination of workflow tools and algorithms. Headquartered in San Francisco, the Boost Media optimization platform provides fresh, performance-driven creative in 12 localized languages worldwide.

Click here to schedule a free demo of the Creative Optimization platform today.

Why Bother with View-Through Attribution?

By April 6th, 2015

How do you measure the impact of influence? More importantly, what’s the best way to measure such a fuzzy concept using an analytical approach?

As marketers have been complementing their bread-and-butter search advertising efforts by adding new tactics into the marketing mix, whether it’s social media native ads, rich media banners, mobile in-app interstitials, or desktop and mobile video ads, it’s increased the spotlight on the sticky issue of attributing conversions properly across different channels. It’s especially relevant for the aforementioned tactics, because none of them are particularly well suited for measuring via click-through conversions alone.

Measuring view-through conversions has quantifiable benefits on the bottom line

There are three powerful reasons for making a proper view-through attribution model a high priority:

1. View-through conversions are a better representation for upper- and middle-funnel performance than click-through conversions. Display ads are renowned for their epically terrible click-through rates. But rather than dismiss the medium as a poor performer, it’s important to understand that most display ads are typically served further up the conversion funnel to help move the customer closer towards making a decision. Measuring them on click-through conversions alone is akin to measuring search ads solely on how many customers it drives to the store. It’s important to use the right metric for the right situation.

2. Proper view-through attribution can lead to increased search lift. The positive impact of display and social advertising on search activity and conversions is undeniable. It’s been proven by a number of different studies over the past several years. Accordingly, if we understand the assistive impact of display and social on search, then it’s important to properly measure their impact in order to make the right investment across the different channels. If a $1 spent on a Facebook ad leads to an extra $5 within the search channel, that’s something you’d definitely want to know.

3. Measuring view-through conversions improves optimization efforts. What if the very small percentage of people clicking on your display ads didn’t represent your very best customers? What if half the clicks on a mobile ad were from people with fat finger syndrome? And what if you optimized all your future spend on trying to acquire all these wrong types of people? Advertisers who optimize based on click-through conversions alone find themselves in this conundrum.

This is just the beginning. While view-through attribution doesn’t have to be complex (on the contrary, it’s actually quite straightforward to set up properly!), it does require an understanding of its business rationale, as well as some of its limitations. To learn more about view-through attribution, including the two-step process for how you can set them up for maximum success, download the white paper here or sign up for the upcoming webinar.

Marin Software Joins Forces with Retargeting Experts Perfect Audience

By June 2nd, 2014

It’s an exciting day at Marin and for advertisers around the globe. Today we finalized our acquisition of Perfect Audience; an innovative San Francisco based retargeting company. We’re thrilled to have them join us and enhance our remarketing expertise and bolster our industry-leading search, social and display performance advertising platform.

With the acquisition of Perfect Audience, advertisers not only get powerful programmatic display capabilities across the web, but also direct access to Facebook Exchange (FBX), Google’s Doubleclick Ad Exchange, and Twitter.  For marketers looking to move away from inefficient point solutions, Marin is the only platform that offers audience-based ad buying across devices and channels.

You know your first party data is your advantage to effectively measure, manage and optimize across channels to win more revenue.  Your search data reveals purchase intent. Your social data shows valuable demographic info.  Your retargeting offers a trove of behavioral data.  Marin’s advertisers will be able to easily combine and analyze all three data streams in a single place to better inform and execute smarter audience buying across the vast search, display and social landscapes.

For example, Marin’s support of Google RLSA in conjunction with Perfect Audience enables advertisers to use their highly valuable first-party data to not only influence display retargeting but also improve search retargeting. Such a 360-degree approach to audience based retargeting in a single platform is a first for advertisers.

Marketers invest big $ to drive prospects to their websites, but generally less than five percent of this traffic becomes customers.  Adding Perfect Audience’s retargeting capabilities enables Marin’s advertisers to target the 95% of their traffic that doesn’t convert, generating more revenue from their online advertising programs.

If you’re not familiar with Perfect Audience, we encourage you to check out their powerfully simple platform. In addition to integrating the Perfect Audience platform with Marin, Perfect Audience will also continue to be available as a standalone tool. So, it’s business as usual for current Perfect Audience customers.

Curious about more acquisition details, then check out the FAQ.

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