Make it Personal
Increase engagement and conversions with highly relevant marketing campaigns.
Best Data for Personalization
- Device and channel preference.
- Average order value (AOV).
- Demographic and location data.
- Email open, click and conversion rates.
- Attribution data – first and last click, multi-touch and time-decay.
- Recency and frequency.
- Purchase and shopping behavior.
- Order, cart and product data.
Top-Performing Personalization Techniques
From simple tactics to sophisticated campaigns, let your customers know that you get them.
Create precise segments using multiple criteria and rules.
Even simple segmentation is a money-maker. Start with the customer data you already have, such as demographic and geographic info, sign-up date and sign-up source. Then, import data from third-parties, including commerce platforms such as NetSuite, Magento and Shopify. Using this robust view of your customer, add multiple criteria and rules to create precise, dynamic segments that increase shopper engagement and conversions.Learn more
Help consumers cross the line from shopper to buyer.
Tie browsing behavior to your customers – the platform even saves the browsing activity of unknown shoppers and later matches it to a known contact. You define the rules to send targeted recovery messages to shoppers based on their browsing behavior and your business goals. You control the cadence and which products to highlight. For instance, you could exclude recent purchasers and those currently in other workflows.Learn more
Recover lost revenue with abandoned cart emails.
Automate personalized recovery emails to re-engage shoppers who add items to a cart but leave with purchasing. Recommend additional items based on past purchase history, browsing activity, cart information and product catalog data. Track detailed cart activity, such as abandonment rates, recovery percentages and recoverable revenue.Learn more
Automate personalized product recommendations.
Increase email-generated revenue by including personalized product recommendations – even in transactional emails. Bronto pairs advanced predictive algorithms and your business rules to serve up the most impactful recommendations. For example, recommend relevant top-rated products above a specified profit margin, sale items prioritized by sale end date, and low stock products above a specified product review rating.Learn more