Integrate AdRoll to Amazon Redshift
AdRoll is a marketing platform that works to increase the conversion rates of potential customers through retargeting. This involves capturing visitor data for a company’s website and retargeting those visitors with personalized ads that are displayed on other websites they visit.
Integrate AdRoll to Amazon Redshift
Popular Use Cases
Xplenty can extract any data that you need from AdRoll. Here are some of our most popular use cases:
Retrieve information about a brand that you are advertising for using AdRoll, including the name of the advertisable, what campaigns are linked to it and what ads are included in those campaigns. Then, use this data to determine if there are any ways to improve or refocus your current marketing endeavors for that brand.
Segment your audience through a variety of methods, including integrating your CRM’s email list, tracking which customers trigger certain events or grouping customers based on a set of relevant attributes. Once those segments are created, create personalized marketing campaigns for them to ensure that you are targeting the needs of each customer segment.
Design a prospecting campaign that searches digital profiles to find and target audiences that are similar to the ones you have already segmented. Then, you can create a campaign with a range of customizable fields - such as date range, weekly budget, and adgroup - that you can modify to provide the best performance when marketing to that audience.
Track the effectiveness of your marketing with a range of reporting data, including ad clicks, impressions, new visitors and generated revenue. AdRoll then separates these reports into a variety of types - such as reports for advertisables, campaigns, customer segments, and individual ads - all of which provide different insights into your marketing efforts.
Why We Like Amazon Redshift
Redshift’s Massively Parallel Processing (MPP) allows it to run queries more quickly and efficiently than ever before.
Most of the analytic tools that companies use today are SQL, and Redshift is SQL compatible. That means that the platform can leverage your existing tools quickly and efficiently.
The warehouse is incredibly scalable and flexible - allowing you to scale from single 160GB nodes all the way up to 16TB nodes - which means that it’ll handle whatever changes your business may require.
Redshift has no up-front costs, no long-term commitments, and an on-demand pricing structure, making it one of the most cost-effective choices out there.
Xplenty helps us to extract data from different sources, modeling them to our needs and then loading them where we want, scheduling tasks on demand for automation. The abstractions make it easier to work with, even to people with more knowledge on tech. Aside from that, their support is very good, and this makes a big difference for all levels of users and companies.
Why Our Customers Choose Xplenty
We take ownership of your data pipelines. That means that our platform will ensure that your data continues to flow and that your pipelines won’t break - and, if they do break, it’s our problem, not yours. So rest easy knowing that Xplenty has got you covered.
Xplenty offers you full flexibility when it comes to how much control you have over the process of data integration. That means that you choose exactly what data will be delivered, how it’s going to be delivered, and when.
Ease of Use
You don’t have to be tech-savvy to use Xplenty. There’s no code, no engineering and no need to worry about messing up your data delivery.
Data integration used to be the domain of IT, data developers and BI. Xplenty changes all of this, allowing every team within a company - marketing, sales, product, finance, HR, etc. - to use the platform to power their analytics and gain important business insights.
Xplenty and Amazon Redshift
Xplenty's data integration service can read data from and write data to Amazon Redshift securely and easily, allowing users to transform and load data directly from any data store into an Amazon Redshift instance. Xplenty can also be used to offload ETL workload from Redshift, allowing each platform to do what it does best: Xplenty for data integration and data preparation and Amazon Redshift for real-time querying.