This is a guest post from Emily Hodges, Marketing and Public Relations Manager at Kiip.
We’re four months out from the holiday season. Yet, in the ad industry, we all know that brands are already plotting their marketing strategies and how they can effectively capture their targeted mobile audiences for the biggest shopping season of the year.
Kiip recently launched a survey tool to gather relevant mobile consumer data. US-based Kiip redeemers are surveyed about their demographics, behaviors, lifestyle, reward preferences, and buying habits. So far, Kiip’s surveys have received nearly three million user responses!
Below are the results specifically on holiday shopping habits. Check them out and see which category you fall under when it comes to your gift purchases.
This is a guest post from Daniel Rohsler, Digital Marketing Account Manager at 3Q Digital.
Brands are finally investing heavily in videos for social platforms. Although the attention is now there, clients often ask about best practices for making a “good” video for social.
Facebook has been making a slow but steady switch to showing more videos in users’ News Feeds—I just did a quick count on my personal page, and 10 out of the first 18 posts (55.5%) were videos. With this switch, it‘s essential to incorporate video into your brand’s creative strategy. And, it’s even more important to make sure your videos are “right” for the platform they’ll be served on.
For this post, I’ll stick to Facebook best practices, but most of these guidelines will work nicely for Twitter, too. Here are common questions clients often ask regarding video—and some answers.
The ideal length of a video ad should be somewhere between 30 seconds and a minute. Ideally, the video should provide the necessary context to the user with or without sound—taking advantage of the auto-play feature in Facebook’s News Feed.
If the message or purpose can’t be shown with a 1-minute video, it’s okay to make it a bit longer. Just make sure the message is still concise and engaging enough to keep users interested (short attention spans and all).
You can, but you shouldn’t. If your TV commercial has run its course, it likely won’t be well-received on social platforms. Diversity is often as important as frequency when it comes to reaching your audience, so try not to serve the exact same asset across different channels.
However, a social video that shares the same theme or feel as your commercial can be incredibly beneficial. Building familiarity across channels by using the same actors, music, or visuals is a good way to grab attention, but be sure that the videos are differentiated enough to keep users engaged and interested.
Your video doesn’t “need” actors or a voiceover—but if you’re going to have either one, it’s important to caption the video or use large image text throughout. Remember, videos will auto-play in users’ News Feeds, so the first few seconds will likely be seen but not heard. This is where image text and captioning are essential.
It’s always recommended that the video have lots of large image text, taking up a good portion of the screen so that the text is easily readable regardless of whether the user is viewing the video on mobile or desktop. Image text is particularly important in the first 3-5 seconds of the video—good text can make users more inclined to click for sound or expand the video.
Here are a couple videos I often share with clients when they ask for some good examples…
Facebook Tips: When Facebook unveils a new feature, they’ll often promote how-to videos like this one for Facebook Stickers.
While the subject matter itself isn’t particularly exciting, it does execute on the essentials well—image text that matches the voiceover, branded logos throughout, and artistic visuals. This is just one video in a series of how-tos that all have the same look and feel. You can view the series here.
Dear Sophie: A personal favorite for what makes a great social video is Google’s Dear Sophie. It’s a little bit longer than the recommended 30 seconds to a minute, but it does a great job of providing all the necessary context with and without sound, by using large image text and visually engaging imagery throughout.
WARNING: You might cry, even with the sound off!
Have fun creating your videos, and may you discover more best practices that work for you.
When Google released product listing ads, it dramatically changed the way retailers advertise online. Because of their huge success, retailers are constantly on the lookout for the next game-changing ad format.
If the results our retail clients have been seeing are any indication, the next frontier for product ads is harmonizing Google Shopping and Facebook Dynamic Ads (DA). Even though there’s been steady growth in the number of advertisers using Facebook DAs since their launch in 2015, many retailers are still managing their search and social channels in silo.
In this post, you’ll learn how to supercharge your shopping ads by combining the best of search and social. Using these techniques, our customers have seen a 68% higher revenue per conversion from their campaigns, when managed together with social advertising campaigns.
Savvy advertisers take advantage of their existing Google Shopping campaigns to optimize—or simply test—DAs for the first time. By identifying your best-performing products from Google Shopping campaigns, you can export high-ROI products to advertise using DAs.
Through Facebook’s new Google Shopping to DA product (available to Marin Software customers), advertisers using Google Shopping can take their best-performing campaigns and easily create Facebook DAs in a few easy steps, without the need for lengthy setup and extensive IT resources.
To easily increase your average order value and/or customer lifetime value, be sure to offer products related to what a customer’s ordered. As you’re building out DA campaigns, you can create upsell, cross-sell, and prospecting campaigns using the same process.
Search intent retargeting is the smartest way to maximize the ROAS of your search budget. As cross-channel marketing strategies become commonplace, digital advertisers have started using search intent data to power their social campaigns. This strategy can be extended to Facebook DAs.
One example: using search intent to optimize DA creative templates. If the right users see them, these dynamic changes to creative can lead to significant lifts in CTR, conversion rates, and ROI.
Let’s say you have three users who’ve reached your website using different levels of search intent.
Through DA creative templates and search intent data, you can dynamically tailor your Facebook creatives based not only on the products users have seen on your website, but also on the keyword they used to get there in the first place. This allows you to show hyper-targeted ads, resulting in higher click-through and conversion rates.
In the above example, our users see different things depending on their keyword group:
Once you start running Google Shopping and Facebook DAs, you should look at product performance and optimization in a more holistic way. The challenge with cross-channel tracking is normalizing conversions across multiple devices, ad buys, and other variables. However, with a third-party platform like Marin Software, the problem’s solved, so you can focus on the most important task—making sense of all that rich data and finding synergies.
With consistent third-party conversion tracking, you can also deduplicate conversions across search and social. And, through attribution modeling, you can gain deeper insights into how your Google Shopping and Facebook DAs are affecting the overall path to conversion.
Your future shoppers are spending an ever-increasing amount of time on Facebook and Google. In fact, 78% of all new ads were on either Facebook or Google last quarter. Now’s the time to think smarter about how you can cost-effectively engage and convert these users.
By combining search and social shopping strategies, not only do you break down channel silos—you gain a holistic view of product performance, and the ability to optimize across channels and improve overall product performance.
Last year, we forecast that 30% of all retail paid-search spend would be on a shopping ad, and 45% of all product ad clicks would be on a smartphone—and smartphone click growth ended up being even stronger than we predicted. Looking forward, where do we see shopping ads this holiday season?
We took a look at month-over-month variations and factored in seasonal shifts in performance to forecast where we’ll be by December 2016:
For more results sampled from the Marin Global Online Advertising Index—composed of advertisers who invest more than $7 billion in annualized ad spend on the Marin platform—read The State of Shopping Ads: 2016 Cross-Channel Marketing Report. With data charts on mobile, social, text versus product ads, and strategy recommendations for the 2016 holiday season, be sure to download your copy today so that you’re prepared for the Q4 rush.
As retail search advertisers continue to plan their campaigns for the 2016 holiday season, they’re weighing the pros and cons of text versus product ads. What’s the most effective ad type for reducing cost, increasing CTR, and maximizing returns on spend?
The answer: it depends.
Sampling the Marin Global Online Advertising Index, composed of advertisers who invest more than $7 billion in annualized ad spend on the Marin platform, we analyzed data from around the world to create our 2016 Cross-Channel Marketing Report. Here are just a few of our findings:
For the full results of our research, including data charts on mobile, social, text versus product ads, and strategy recommendations for the 2016 holiday season, download The State of Shopping Ads: 2016 Cross-Channel Marketing Report.
Shopping season is here. To help retailers navigate the current terrain of shopping ads and digital marketing, Marin has developed new features to help retailers maximize revenues and efficiencies this back to school and holiday season.
In this post, we’ve asked Anil Channappa, Senior Director Product Management for Marin Social, to talk about these features and how they’ll benefit retail and ecommerce advertisers.
It’s the ability for marketers to maximize the sales and revenue of their products through advertising regardless of the publisher. Without such a solution, advertisers have to coordinate advertising campaigns across Google and Facebook (in the same or different tool), without a way to measure the effectiveness across publishers.
With a solution like Smart Sync for Shopping, advertisers can mirror a Google shopping campaign so that the same campaign is running on both Google and Facebook, without needing to know much about leveraging their product feed on Facebook. The cross-publisher reporting helps our advertisers make smarter bid and budget decisions to maximize ROI. And this is a unique and innovative solution in the market today.
Customers and prospects are browsing freely across Google and Facebook. So, advertisers shouldn’t be bogged down by publisher-specific differences, and should be able to reach customers where they are. Being able to reach shoppers where they shop with one product feed and campaign flow, will improve campaign management efficiency and the effectiveness of their campaigns.
Campaigns should be geared towards business objectives and needs. Does a customer want to run a promotion that aligns with events like 4th of July, Black Friday, or a major sale of specific products? In most cases today, customers have to replicate these campaigns manually across all publishers.
With Marin’s cross-channel solution, advertisers can rely on technology to create, measure, and scale campaigns across publishers, while spending their time on critical decisions and optimizations.
Publishers are racing to offer innovative products to keep pace with emerging customer behaviors. Mobile technologies (tablets, smartphones) have been a huge disrupter. Publishers are forced to innovate rapidly to offer advertising products that fit this new paradigm.
Shopping Campaigns and Dynamic Ads are all visual ads that are easier for users to preview and click on mobile devices. Depending on your source, anywhere from 75-95% of mobile users click social ads. Marin’s research shows that during Q1 of this year, closer to 95% of all social ad clicks were on a mobile device.
In the past, we’ve invested heavily to streamline advertising within channels (search, social, and display), but we can only go so far in our value-add, because the channels themselves are very different. Given shifting user behaviors and publishers offering similar products, there is a huge convergence of ad products across publishers. This is a perfect opportunity to help marketers who are used to streamlining their channel-specific advertising and extend it across channels.
Google is the dominant player for most retailers to drive demand and new customers. This is the place where advertisers have gone back, time and time again, to drive their sales.
With Facebook stepping up their ad products, we’re hoping it’ll be a great source of new customers, and provide advertisers with increased scale and higher revenue across the board. As a secondary benefit, the streamlined solution could help advertisers save time, reduce cost, and balance their budgets more effectively.
Think about people-based marketing rather than channel-specific marketing. From the outset, we suggest that customers set up cross-channel campaigns and measure the impact to net revenue and ROI. The channel-specific team should still focus on channel-specific optimizations (creative, audience and bid optimizations in Facebook and product group, bid optimization in Google), but share cross-publisher learnings from platforms like Marin.
For more information on Smart Sync for Shopping, watch the video.
Shoppers are already prepping their lists for the holidays, and retail advertisers are close behind, on the mobile-focused, ad spend case. If smartphones were big-box retail destinations, they’d be the new “mad rush” of holiday sales.
Thankfully, when shoppers are looking for deals and information, they can now easily turn to their mobile devices.
Sampling the Marin Global Online Advertising Index, composed of advertisers who invest more than $7 billion in annualized ad spend on the Marin platform, we analyzed data from around the world to create our 2016 Cross-Channel Marketing Report. Our research uncovered some surprising things about what to expect for social advertising this 2016 shopping season.
Happy shopping—and spending—in 2016.
For the full results of our research, including data charts on mobile, social, text versus product ads, and recommendations for how to stand out during the 2016 holiday season, download The State of Shopping Ads: 2016 Cross-Channel Marketing Report.
When it comes to shopping ads, Q4 and mobile go together like thumbs on a small screen (literally).
Sampling the Marin Global Online Advertising Index, composed of advertisers who invest more than $7 billion in annualized ad spend on the Marin platform, we analyzed data from around the world to create our 2016 Cross-Channel Marketing Report. Our research allowed us to make a few definitive predictions for mobile performance in the 2016 shopping season.
In sum: smartphones rule. For the full results our research, including data on social, text versus product ads, and recommendations for how to stand out during the 2016 holiday season, download The State of Shopping Ads: 2016 Cross-Channel Marketing Report.
On June 22nd and 23rd, Marin Software exhibited at the SMX Advanced conference in Seattle. Many of our partners joined us there—Bing, TVTY, and DialogTech, just to name a few. As always, it was wonderful to chat with so many existing customers and meet those who are less familiar with Marin.
SMX Advanced is a conference chock-full of marketers who live and breathe digital advertising in their 9-5 jobs. It was interesting and illuminating chatting with them at our booth, about everything from Shopping to Facebook DPAs.
There really is no better conference to attend if you’re looking to get a pulse on what the real-world challenges of advanced digital marketers are, and we’re already looking forward to next year’s event. It’s always a pleasure to share what’s new at Marin with our audience, but we’re committed to learning what online marketers’ pain points are and evolving to meet their needs.
— Marin Software (@MarinSoftware) June 22, 2016
We also had the pleasure of presenting our Biggest Search Geek grand prize winner, Christoff Berlage, with his trophy. Christoff, who hails from the UK, earned a score of 93% on the quiz. Runners up included European Regional prize winner Elouise James, North American Regional contest winner Jake Hughes, and Danny Lam, who picked up the Australian Regional award.
This is a guest post from Dionte Pounds, Account Manager at
A few months ago, Google unveiled a new tool that allows advertisers to interact directly with an audience across the search, Gmail, and YouTube networks. That tool was Customer Match (See my previous post about setup tips).
With this feature, advertisers could submit a list of email addresses from past customers or email subscribers directly into the AdWords interface. Then, advertisers could target individuals who’d already expressed interest in their products, across channels, as long as they were signed in to Google.
With this update, Google strengthened the ability of advertisers to leverage 1st-party data. The move echoed Facebook’s Custom Audiences, which has been in the market for years and proven very effective. While it provides Google-focused marketers a great way to use 1st-party data, Google’s added another feature that uses that data to find and target new customers.
That tool is Similar Audiences.
Similar Audiences are made up of groups of people who have characteristics with a remarketing audience you’ve previously created. For example, if you have a remarketing audience created for people who’ve visited your website via a paid ad click within the last 30 days, Google will automatically generate a new pool of prospects you can target if the starting audience is large enough.
Because paid ad traffic is cookied, Google tracks the browsing habits of that cookied traffic over the last 30 days and uses that to find shared interests and behaviors. For a new Similar Audience to be created, at least 500 cookies with enough similarities and characteristics must be active. In theory, a larger remarketing list should yield a better Similar Audience in terms of relevancy, because it’s pulling from a larger set of data being sent back for Google to use.
So, a Similar Audience taken from a Customer Match list should be an extremely relevant pool of new users that you can target to grow a business. However, there are some features that are disabled for a Similar to Customer Match audience that must be taken into consideration when planning new advertising strategy.
The first is that, like all Similar Audiences, you can’t target a Similar to Customer Match audience across the Search Network. Because Similar Audiences are based on the webpage browsing history of the cookied user, you’re limited to targeting on the Display Network and YouTube Network.
Speaking of the Display Network, you can only target Similar to Customer Match audiences on the Google Display Network and YouTube. This is where the use of 1st-party data is somewhat limiting in Google. Because the uploaded customer lists lack the cookies needed to track browsing behavior, Google can’t use that data to find an audience with related interests on the Display Network.
Still, you can utilize a similar audience across Gmail and YouTube ads, because these are networks entirely owned by Google where the user is signed in to the network (at least most of the time for YouTube). Because the data Google receives from these channels are different from Display Network, where 3rd-party groups simply opt in to the network, the way Google finds these users and tracks characteristics greatly varies.
Even with these limitations, I still highly recommend testing all similar audiences, but especially a similar audience built from Customer Match. It’s a great way to engage a new audience of individuals similar to that of your past customers.