LiftBase
A multi-sourced consumer database that is the source of intelligence & acquisition for hundreds of brands.
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Highly-responsive lookalike and modeled audiences for Facebook, Direct Mail, and beyond.
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Segment, count, and extract large marketing audiences in minutes.
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Combine multiple prospect files into a single, clean dataset in as little as 24 hours.
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Home / Articles / Direct Marketing
LiftEngine is excited to announce the launch of S.C.A.L.E., a reorganization of their comprehensive suite of marketing data services.
Over my 25+ years in the Direct Marketing Data business, I have seen the ups and downs of our economy bring prosperity and challenges. Looking at how direct marketers reacted to past economic downturns, as well as proven strategies and technologies not in wide use or available back then, I believe there is much that we can learn and apply to upcoming marketing plans during these unprecedented times.
As society evolves in a COVID-19 world (and beyond), there is anecdotal evidence that most companies are seeing drastic shifts in their customer profiles as consumer needs are being prioritize accordingly. What does this mean for your current Predictive Data Models? Here's what we are telling clients and partners.
Between all the uncertainty and quickly-developing news, tough decisions must be made. Does business just go on as normal? Many clients are wondering if they should continue their advertising campaigns as usual. The answer is going to depend ultimately on the industry and the organization, but it’s hard to find guidance in such an unprecedented time. You need to start with voices you know and past experiences.
Since social media advertising is a new frontier for many Direct Marketers, here is a list of six things that every DM'er needs to know about.
For both Marketers and List Brokers who rent multiple lists for acquisition campaigns, measuring the impact each list has on the success of the campaign is vital.
Here are six things that must be considered and planned out before you start building an input file for a Predictive Data Model.