SwiftERM Hyper‑personalisation

Name: SwiftERM Hyper‑personalisation Introduction Video
Uploaded: 2024-04-06T22:39:06Z
Duration: 1 min 33 s
Description: Predicts what each consumer is most likely to purchase next

Develop by Shopify

Free plan available

Predicts what each consumer is most likely to purchase next

Product recommendations

Ai personalisation

Wholly autonomous

Analytics capabilities

About SwiftERM Hyper‑personalisation

Launched Jan 03, 2024

Built by Shopify

Address

141 Middle Rd, #06-06 GSM Building, Singapore 188976, Singapore, 188976, SG

Website Support Portal Privacy policy Tutorial FAQ Document

Claim Offer

Z Sticky Add To Cart Button

Claim Offer

Sponsored

Keep "Add to Cart" visible, boost conversions. No coding...

Introduction Video

Description

SwiftERM is an AI hyper-personalisation solution for ecommerce email marketing.

We gather the data via this plugin, capturing each customer’s interactions as they happen, including purchase history, products viewed, length of time on that page, and frequency of visits. We calculate what that consumer is most likely to buy next and when. We then populate a stylesheet sending it at the moment that the consumer is most likely to buy that product. We then measure their response and incorporate that to perpetuate ever greater accuracy for the future. It is wholly autonomous.

Wholly autonomous software – it requires no human involvement at any time.
AI hyper-personalisation – offers product selections for imminent purchase
It populates each stylesheet uniquely with individualised selections

Pros

Wholly autonomous - requires zero human involvement
Can be installed alongside other marketing and promotional email software
Utilizes AI for personalization to identify products most likely to be purchased next
Populates a stylesheet with selected products for targeted marketing
Includes email marketing features, such as product recommendation campaigns
Provides analytics for managing campaigns

Cons

Lack of human oversight may lead to mistakes or missed opportunities
Limited to product recommendation campaigns, potentially lacking versatility in other marketing tactics
Dependency on AI may result in challenges if the AI's algorithms are not perfectly aligned with the customer base
Potential integration challenges with existing marketing software