Originally published in NewsLever™ October 2012
Categories: Email and web analytics , Email campaign strategy , List building and segmentation
The evidence is overwhelming – email list segmentation is a best practice that can dramatically improve email-campaign results. In a previous
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, we gave 5 tips for segmenting email lists to help boost return on investment. Here we expand on that advice with 5 more ways to segment your email lists.
By dividing your email list into different subgroups, you can send more targeted emails that maximize the relevance of your marketing message for each subscriber. At FulcrumTech, we’ve seen firsthand how implementing an email segmentation strategy can significantly improve our clients’ open, click-through, and conversion rates.
The positive results of email segmentation were also clearly evident in the Lyris Annual Email Optimizer Report , which showed 69% of the survey respondents segmented their email lists. Of this group of email marketers:
In addition to geography, purchase history, demographics, prospects versus clients, and behavioral data — segments we discussed in our previous
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— the following are five highly effective email segmentation methods:
Segmenting by engagement also can help you identify your most active subscribers and likely your best customers. By designing special email offers and promotions for this group, you’ll nurture them and help keep their interest high.Segment by persona. Segment by where customers shop. Segment by website behavior. Segment cart and form abandoners.
Are you effectively segmenting your email list? Do you tailor your email content and offers to best meet the needs of each of the different segments? The email- marketing experts at FulcrumTech can help your organization optimize the relevancy of your emails and maximize your email campaign results. Email us or give us a call at 215-489-9336 and get started today!
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See also :
Model definition JSON file
PersistedModel REST API
Individual models are easy to understand and work with. But in reality, models are often connected or related. When you build a real-world application with multiple models, you’ll typically need to define relations between models. For example:
With connected models, LoopBack exposes as a set of APIs to interact with each of the model instances and query and filter the information based on the client’s needs.
You can define the following relations between models:
You can define models relations in JSON in the
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When you define a relation for a model, LoopBack adds a set of methods to the model, as detailed in the article on each type of relation.
It’s important to understand that all models inherit from the Model class and they can have relations between them regardless of the specific type of model or the backing data source. Models backed by different data sources can have relations between them.
The easiest way to create a new relation between existing models is to use the
, or the
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The tool will prompt you to enter the type of relation (belongsTo, hasMany, and so on) and the affected models.
The name of the relation must be different than a property it references.
There are three options for most relation types:REVIEW COMMENT from Rand
The scope property can be an object or function, and applies to all filtering/conditions on the related scope.
The object or returned object (in case of the function call) can have all the usual filter options:
These options are merged into the default filter, which means that the
part will be
-ed. The other options usually override the defaults (standard mergeQuery behavior).
When scope is a function, it will receive the current instance, as well as the default filter object.
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