Retina

Name: Retina
Brand: Retina

Using the latest innovations in machine learning and AI, Retina delivers the predicted lifetime value of your customers.

Est 2017|Valuation $40M|Raised $13M|4 Ref Customers

LinkedIn 3K|Website|FTEs 12|HQ Santa Monica, California, US

01Competitive Landscape

Narrative analysis: differentiators and tradeoffs

Areas where Retina has strengths - Positioning around early CLV prediction: The vendor emphasizes predicting long-term value from early signals (even at or near first transaction) and provides outputs like predicted lapse date and next transaction date. - Integration for activation in advertising platforms: Product materials document integrations with major ad platforms, which supports CLV-aware ad measurement and optimization. - Managed model operations: Premium/enterprise offerings include strategy sessions and regular retraining/monitoring, which can be valuable for teams with limited DS/ML resources. Where alternatives may be stronger - Cost and accessibility: Some competitors and Shopify-native tools have much lower entry price points and trial options; for smaller D2C brands these may provide faster ROI. - Broader CDP/marketing suites: Engagement platforms that combine orchestration, messaging, and data unification may be a better fit for organizations that want an all-in-one engagement platform rather than a specialist CLV layer. Sources: competitor pricing and product pages.

	Retina (retina.ai)	RetentionX	Lifetimely
Starting Price	Starter tier in the low-thousands per month (starter package for organizations with larger historical customer bases)	Low-cost starter tier (tens per month)	Free tier available for very low volume; affordable starter tier in the low hundreds per month for small merchants
Target Segment	Mid-market and enterprise e-commerce/subscription teams needing early customer-level pCLV and activation into ads/CDPs	Shopify-native brands seeking accessible customer analytics and automations	Shopify brands seeking LTV, cohorts, and profitability analytics with usage-based tiers
Notable strengths	Early pCLV scoring, integrations/activation, managed services at higher tiers	Low cost, quick start, Shopify-native experience	Transparent tiers, predictive LTV modeling included, broad analytics toolkit
Notable limitations	Higher entry cost; limited public third-party review volume; security/compliance details not prominent publicly	May not match enterprise data pipeline needs; predictive capabilities vary by plan	Usage limits can push upgrades; less emphasis on enterprise consulting/activation

01Competitive Landscape

Narrative analysis: differentiators and tradeoffs

Areas where Retina has strengths

Positioning around early CLV prediction: The vendor emphasizes predicting long-term value from early signals (even at or near first transaction) and provides outputs like predicted lapse date and next transaction date.
Integration for activation in advertising platforms: Product materials document integrations with major ad platforms, which supports CLV-aware ad measurement and optimization.
Managed model operations: Premium/enterprise offerings include strategy sessions and regular retraining/monitoring, which can be valuable for teams with limited DS/ML resources.

Where alternatives may be stronger

Cost and accessibility: Some competitors and Shopify-native tools have much lower entry price points and trial options; for smaller D2C brands these may provide faster ROI.
Broader CDP/marketing suites: Engagement platforms that combine orchestration, messaging, and data unification may be a better fit for organizations that want an all-in-one engagement platform rather than a specialist CLV layer.

Sources: competitor pricing and product pages.

	Retina (retina.ai)	RetentionX	Lifetimely
Starting Price	Starter tier in the low-thousands per month (starter package for organizations with larger historical customer bases)	Low-cost starter tier (tens per month)	Free tier available for very low volume; affordable starter tier in the low hundreds per month for small merchants
Target Segment	Mid-market and enterprise e-commerce/subscription teams needing early customer-level pCLV and activation into ads/CDPs	Shopify-native brands seeking accessible customer analytics and automations	Shopify brands seeking LTV, cohorts, and profitability analytics with usage-based tiers
Notable strengths	Early pCLV scoring, integrations/activation, managed services at higher tiers	Low cost, quick start, Shopify-native experience	Transparent tiers, predictive LTV modeling included, broad analytics toolkit
Notable limitations	Higher entry cost; limited public third-party review volume; security/compliance details not prominent publicly	May not match enterprise data pipeline needs; predictive capabilities vary by plan	Usage limits can push upgrades; less emphasis on enterprise consulting/activation

Retina

01Competitive Landscape

Narrative analysis: differentiators and tradeoffs

02Market Map

01Competitive Landscape

Narrative analysis: differentiators and tradeoffs

02Market Map