Digital Marketing | Perficient Digital

Digital Marketing Crafting Digital Experiences and Integrated Campaigns

Don’t Let Faceted Navigation Ruin Your eCommerce Search Rankings

Faceted navigation, which allows online shoppers to filter products by categories like brand, size, and color, is a valuable and time-saving addition to your eCommerce user experience. However, because search engines will view each combination of product filters as its own unique page, your faceted navigation may be hurting your SEO rankings. Watch the video […]

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Holiday Prep for Your Google Shopping Ads #4: Campaign Priorities

The same product can display in different campaigns and categories. You need to control which products show under which campaign and when. By utilizing the three campaign priority settings (high, medium, low), you can stack the bid to help prioritized products win more auctions. Here’s what to know about priorities: Google Favors When multiple products […]

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Adobe Insider Tour Part 1: Coming Soon

As I drive past the windmills* on the way back from the Adobe Insiders tour in Chicago I think about how much of a privilege it is to be able to see ahead to what Adobe has in the works for Analytics and to know what will be coming soon. I’d like to share some […]

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Holiday Prep for Your Google Shopping Ads, #3: Titles and Labels

Product titles and descriptions are crucial for long-term success. When people search, they scan and look for whatever matches the text they typed in, often ignoring the rest. Since Google Shopping campaigns aren’t keyword-targeted, making that connection for the shopper requires analysis, optimization, and tweaking of titles and descriptions to include the most common variations of […]

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Holiday Prep for Your Google Shopping Ads, Step #2: Promotions

Shopping results are always competitive, but especially during the peak of the holiday shopping rush. Retailers that correctly set their promotional features within Google Shopping have a big advantage during this season, when those with long shopping lists are trying to get the most value for their money. Promoting a sale on your website but not […]

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Holiday Prep for Your Google Shopping Ads, #1: Feed Optimization

Companies that excel in Google Shopping all share one thing in common: they have highly detailed, thorough, and timely feeds. According to Google, “…it is essential to provide high-quality data – product data that is fresh, accurate, and comprehensive.” Shopping campaigns don’t target keywords directly, so good feed data is critical and the leading factor […]

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Influencer Marketing – It Needs to Be Real

Influencers have been a hot commodity in the marketing world over the last couple of years, with companies in a variety of industries turning to noteworthy people with large followings to help promote their products and services. As many marketers have learned, however, not all influencers are created equal. Whether you’re paying these individuals to […]

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Personalization Doesn’t Scale: Why True Relational Marketing Wins

We’ve all been there. Received an email that starts, “[Hi, First Name],” or gotten a message on LinkedIn praising us for something we’ve never done. What we’re seeing is an attempt at fake personalization, and while it can be done at scale, it can’t be done well at scale. Instead of connecting with your audience, […]

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Data Science in the Adobe Cloud Platform

Dave Bilbrough spoke to partners at the 2018 Adobe Summit about how Adobe has been transforming experience through the use of enterprise big data within the Adobe cloud platform. As machine learning and artificial intelligence continue to evolve and shape customer experience, leveraging Adobe Cloud Platform to author, import or use pre-built intelligent services based […]

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Data Silos And The Customer Journey

I ran across an interesting blog post by Kerry Reiley on Knocking Down Data Silos To Map The Customer Journey. I’m not going to belabor the obvious problem of silos.  It’s easy to see and no one will gainsay you.   That said, Kerry had two great points about solving the problem with the right data. […]

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