Over the last few months, Experian has released new syndicated audiences to most major platforms supporting retail and travel. In this blog post, we’ll highlight some of these new audiences and how they can be used with other data from Experian to build the perfect audience to reach your customers and prospects.
Household Expenditure audiences
We’ve created new predictive audiences to help retailers reach consumers across 35 categories likely to spend within that category. A few categories include Apparel, DIY, Health, and more.
With the launch of these new audiences, we will retire our existing Household Consumer Expenditure, Online and Retail category audiences in the November Digital Master update.
Who these audiences are for
Our Household Expenditure audiences use data from multiple sources, providing brands with highly accurate purchase predictions and data that scales for digital execution. Household Expenditure audiences are an excellent solution for brands with new product lines or where targeting based on historical purchases lack signal brands seek.
Building data from multiple data sources helps ensure high performance and accuracy and can illuminate trends in consumer shopping patterns. These trends can be used to help predict future shopping behaviors.
How to refine our Household Expenditure audiences
To refine your audience, you can combine this data with Experian’s demographic and household expenditure audiences to ensure you are reaching consumers. For example, suppose you’re an apparel brand launching a new line aimed toward women over the age of 40. In that case, you can use Experian’s demographic data to reach those women and layer in ourhousehold expenditure purchase predictor segment for women’s apparel to reach their new target audience.
Mobile Location audiences
We’ve expanded our location database to include more locations and points of interest. With this new data, we could strengthen our existing mobile location audiences to broaden the reach, improve accuracy, and increase performance.
We’ve created 11 new mobile location audiences with our new dataset that supports the retail and travel verticals. These new audiences include new shopping behaviors, including high-income and high-end shoppers and travel and entertainment behaviors, including visiting sporting arenas like MLB, NBA, NFL, and university stadiums.
Who these audiences are for
These audiences are for brands that want to reach consumers based on their location behaviors. Often valid for retail, travel, and entertainment brands, Mobile Location audiences provide brands with highly accurate data that shows previous intent and interest in critical locations.
How to refine our Mobile Location audiences
To refine your audience, you can combine your Mobile Location audience with Lifestyle and Interest data. For example, if you are creating an advertising campaign for a hotel near a university stadium for the largest game in the season, you could combine university stadium visitors with sports enthusiasts and in-market for travel to find consumers most likely to be interested in your campaign and staying at the hotel.
Purchase-Based Transaction audiences
For use cases where predictive audiences aren’t the best fit to reach the right consumer, such as targeting consumer’s historical purchases, we’ve created new purchase-based transaction audiences that utilize opt-in consumer transaction data across 29 retail categories, including apparel, home, lifestyle, health, food and beverage, and more.
Who these audiences are for
These audiences are a perfect fit for brands trying to reach consumers based on previous purchases. These audiences can be broken out by their spending patterns – frequency of purchase and high spenders – and their response to advertising, including direct mail, email, inserts, and digital.
How to refine our Purchase-Based Transaction audiences
Combine these new audiences with Mosaic to fine-tune your audience based on their purchasing and lifestyle patterns.
Suppose you are a brand with a new line of home décor products launching and will utilize influencers to endorse your product line. In that case, you can use Experian’s purchase-based transaction audiences for high spenders in home décor and layer our Mosaic audience Influenced by Influencers to find consumers who are most likely to purchase and trust an influencer.
We can help you discover and activate your perfect audience
Our audiences are available in most major data and execution platforms. Visit our partner page for more information.
Don’t see our audiences on your platform of choice? We can help you build and activate an Experian audience on the platform of your choice.
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As many folks within the email eco-system probably know by now, Spamhaus, an organization known for compiling several widely used anti-spam lists, has been extremely active this week. Over the past week, Spamhaus has listed a number of potentially hazardous IP addresses used by some of the world’s largest email service providers due to the way their newsletters signups are set up. According to most of the listings, Spamhaus has stated: Unfortunately, the said newsletter service is not verifying the email address of new subscribers. Due to this, the service can be easily abused to "listbomb" internet users. Problem resolution ============================ The newsletter service needs to clean up their email address list and ensure that bulk emails are only being sent to recipients who have verifiably subscribed to their bulk email service. In addition, the newsletter service should take appropriate actions to prevent further abuse of their service: a) Implementing CAPTCHA to prevent automated subscriptions b) Implementing Confirmed Opt In (COI) to prevent abusers from adding random email addresses to the newsletter service that are not owned by the subscriber For the most part these listings should not directly impact marketers’ current ability to send their campaigns and reach their customers as they are listed as “warnings” within the Spamhaus system. What is important to understand is that these types of listings will likely continue to happen as Spamhaus has seen a dramatic increase in malicious use of newsletter sign-ups to "email bomb" various addresses, especially government (.gov) domains. While we understand that implementing CAPTCHA, or COI into any marketing system is not something that can be done quickly, Experian Marketing Services has recommended that our clients begin to investigate how they can potentially implement this process into their newsletter sign-ups. By asking customers to simply perform the CAPTCHA check, it will not only protect marketers from adding addresses from automated signup systems, but will also reduce the possibility of being listed with Spamhaus for these types of issues in the future. Some additional resources: Massive Email Bombs Target .Gov Addresses Subscription bombing, ESPs and Spamhaus, August 15, 2016 by laura in Best Practices Comment on the latter blog post on WordtotheWise.com from the CEO of Spamhaus: Excellent well summarized article Laura. No, we’ve not changed SBL policy to require COI. It’s something we very strongly advise but we cannot make a requirement. We’ll have to consider it if list-bombing of this magnitude cannot be kept in check by list managers. This incident involved a large number of government addresses belonging to various countries being subscribed to very large numbers of lists in a very short space of time by scripts run by the attacker(s). Most of the lists hit by the attack used COI and therefore only sent confirmation requests and did not subscribe any addresses. The attack undoubtedly also hit lists which used Captcha in addition to COI and thus did not even proceed to COI (those list admins deserve some sort of community ‘hi 5’ award, since one can imagine how hard it is to convince one’s management to implement COI let alone put Captcha in front of it). The issue is the badly-run ‘open’ lists which happily subscribed every address without any consent verification and which now continue as participants in the list-bombing of government addresses. These we are trying to address with SBL listings to prompt resolution by the Senders. As you noticed, most of these particular incident listings are for IPs ending “.0/32” which does not cause any mail issue to the Sender and is deliberately used where we have a good relationship with the Sender and know they will act quickly on the alert. Steve Linford Chief Executive The Spamhaus Project
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