Retention Science

Name: Retention Science
Brand: Retention Science
Rating: 4.4 (37 reviews)

Retention Science is a retention marketing platform that uses machine learning to unify customer data, personalize lifecycle email and SMS campaigns, predict churn and next-best actions, and run automated behavioral campaigns.

Est 2012|Valuation $17.5M|Raised $9.1M|20 Ref Customers

LinkedIn 3K|Website|Web traffic 1K|FTEs 18|HQ Santa Monica, California, US

MarketsEmail Marketing Customer Engagement Platforms (CEP)

01Competitive Landscape

Narrative analysis

Klaviyo generally wins on ecosystem scale, market presence, and self-serve transparency. ReSci differentiates through a machine learning/predictive automation focus; buyers should validate the explainability and operational usefulness of those predictions.
Omnisend's advantages are transparent tiers and SMB suitability. ReSci may be appropriate for teams prioritizing predictive capabilities, subject to verification of model outputs and integration effort.
Attentive is strong for SMS-first programs with enterprise services; ReSci appears more email-centric in accessible documentation and reviews.

- Klaviyo generally wins on ecosystem scale, market presence, and self-serve transparency. ReSci differentiates through a machine learning/predictive automation focus; buyers should validate the explainability and operational usefulness of those predictions. - Omnisend's advantages are transparent tiers and SMB suitability. ReSci may be appropriate for teams prioritizing predictive capabilities, subject to verification of model outputs and integration effort. - Attentive is strong for SMS-first programs with enterprise services; ReSci appears more email-centric in accessible documentation and reviews.

Market share/adoption trends

Third-party web and technology-intelligence estimates provide directional indicators but are not audited and may misclassify technologies. Use them cautiously.

	Retention Science (ReSci)	Klaviyo	Omnisend
Starting Price	Not publicly listed in vendor/review sources located	Public pricing page (includes a free tier; paid tiers scale with usage/profiles/messages)	Public pricing page with tiered plans including a free tier and higher-paid tiers
Primary fit	Teams seeking machine learning-assisted lifecycle automation with integrations and APIs	eCommerce brands needing deep segmentation, strong ecosystem, predictable self-serve onboarding	SMB/mid-market eCommerce teams seeking email+SMS with transparent tiers
Key Strength	Predictive/ML-focused retention positioning; APIs and statuspage indicate multiple services	Large ecosystem, strong Shopify/ecommerce adoption, mature templates/flows	Clear packaging, SMB-friendly onboarding, bundled SMS capabilities
Key Weakness	Pricing opacity; reported UI complexity; some reports of bugs/glitches	Can become costly as lists grow; pricing has been a point of debate	Feature depth may lag enterprise suites; scaling driven by contact-based pricing