Segmentation
SEND THE RIGHT MESSAGE TO THE RIGHT CONTACTS

TARGETED MAILING LISTS

Use your data to create targeted mailing lists to make your message personal and relevant. Create segments by using subscriber profile data, purchase information, click and visit behavior, geolocation, demographic data, and more.

Segmentation

Segmentation That Is Easy to Create

Ditch the queue for developer support; no SQL queries needed. Our drag-and-drop workflows give marketers control of segment construction. Build segments from scratch or use segment templates, and don’t worry about running out of custom fields: Bronto has over 100 for you to use.

UNLIMITED SEGMENTATION POSSIBILITIES

A few ways for you to segment your lists based on your data.

PURCHASE BEHAVIOR

Use data such as customer average order value, tendency to purchase at full price or discount, recency, and frequency.

LOCATION

Segment on attributes like weather and proximity to a store with geolocation or zip code data.

DEMOGRAPHICS

Create segments based on subscriber profile data to increase engagement.

ENGAGEMENT

Build segmentations based on open, click-through and conversion behavior, acquisition source, and device.

“I can segment our list based on interests, region, even down to the store they shop at. The result is that our open rates are 66% percent higher on segmented emails than promotional emails.”

DYNAMIC SEGMENT UPDATES

Segments in the Bronto platform update automatically, so you can rest assured that you’re always sending your messages to the right audience and not have to worry about manually maintaining lists. If a new contact is added to a segment or something changes with an existing contact, your segments automatically recalculate.


MONITOR THE HEALTH OF YOUR SEGMENTS

View reporting by segment to see what’s working and what isn’t. Develop suppression rules to keep customers in triggered campaigns from receiving too many emails.

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Create Brand Advocates With Email

Learn how email marketing can help address the top challenges faced today in the fashion industry, including growing brand loyalty, reducing return rates and providing hyper-personalized engagements.

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