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Motiva AI Blog
The latest tips and tricks for optimizing email marketing campaigns, including Send Time AI, Multivariate Message Testing, and Frequency Management.
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campaign strategy
5 Steps for Measuring Success with Dark Pool Data Hygiene
You know that data hygiene is crucial to your email marketing success. But what should you track to...
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Is Your Outdated Email Marketing Strategy Sabotaging Your Campaigns?
When was the last time your marketing team reviewed your marketing strategy? If it's been awhile,...
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Cheat Codes for Marketers: How to Use Motiva’s Subject Line Analyzer
Introducing our upgraded subject line analyzer, now with automatic subject line generation.
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How to be a Rock Star (at Your Next Performance Review)
Looking to stand out during your next performance review? Learning how to use Motiva to optimize...
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How to Ensure Prospects Receive Your Highest-Priority Messaging
At the risk of offending some marketers out there... Not all emails are important.
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Best Practices for Effective Multivariate Message Tests: Subject Lines
Want to learn how to add multivariate message testing to your email marketing strategy? This is the...
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First Apple, Now Gmail? How Image Prefetching Will Impact Open Data
Google is the latest email service provider to make changes that result in fake open signals.
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What Litmus' State of Email 2021 Means for Marketers
Late last year, Litmus released their annual State of Email report, and it's a fascinating read....
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How Data Enrichment Improves Your Segmentation Strategy
As we (and many others) have said in the past, quality data is the foundation for marketing...
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Your Marketing Strategy is Wrong: How False Signals Mislead Marketers
A recent survey of marketers reveals that a third don't trust their marketing data, and over half...
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How Motiva AI uses Multi-Armed Bandit Modeling in Message Testing
Wondering how Motiva message testing works? Here's a peek under the hood.
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How to Analyze Frequency Test Reports to Boost Audience Engagement
After running a frequency test on your audience segment, it's time to interpret the results.
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