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RVL Pharmaceuticals
RVL Pharmaceuticals

How RVL Pharmaceuticals Unified 7 Data Sources to Drive Double-Digit Customer Growth

Double Digit

Customer growth

7

Data sources unified

3

Customer segments unified

RVL Pharmaceuticals is a specialty pharmaceutical company focused on ocular health and aesthetic innovation, headquartered in Bridgewater, New Jersey. The company is best known for Upneeq®, a category-creating prescription eye drop for acquired blepharoptosis, and has expanded into skincare with the Upneeq Reveal™ Under Eye Complex. RVL utilizes a tech-enabled platform to provide seamless access and integrated fulfillment for both healthcare providers and consumers.

The Challenge

Fragmented Data Across 7 Sources and 3 Customer Segments


RVL Pharmaceuticals needed a clear view of the customer journey, with a particular focus on marketing channel performance and spend optimization. But their data landscape made this nearly impossible.


The company was working with 7 disconnected data sources, spanning Salesforce, Klaviyo, ad platforms, and more. Data flowed across 3 distinct customer segments: B2B, B2C, and B2B2C. Each segment used different customer identifiers, creating missing keys and high data inconsistencies throughout.


Without a unified view, the marketing team could not attribute campaigns to outcomes, calculate true cost of customer acquisition by channel, or make confident budget allocation decisions.


a terminal showing etl_pipeline.sql
-- e:cue Data Transformation Pipeline
-- RVL Pharmaceuticals | 7 sources > 1 unified view
EXTRACT sources
FROM salesforce, klaviyo, meta_ads,
google_ads, shopify, hubspot, ga4
TRANSFORM WITH
identity_resolution(b2b, b2c, b2b2c
) >> merge_customer_keys()
>> map_product_taxonomy()
>> build_attribution_logic()
LOAD INTO unified_customer_view
>> READY FOR CUE


The Solution

A Unified Customer View Powered by e:cue


e:cue integrated all 7 data sources into a single, coherent customer view. The transformation involved three critical layers:


  • Customer Identity Resolution : Matching and merging customer records across disparate systems and identifiers into one unified profile.

  • Order-level Attribution Logic : Connecting every order to its originating marketing channel, enabling true campaign-to-revenue attribution.

  • Product Taxonomy Mapping : Standardizing product classifications across all sources to enable consistent analysis across segments.



Cue in Action

Clean Data Powering Instant Answers


With clean, unified data flowing into Cue, the RVL team could ask natural-language questions and get instant, accurate answers. When the marketing team asked about Meta campaign click-through rates by month, Cue delivered a complete executive summary with monthly breakdowns in seconds, followed by actionable recommendations.


a chat between RVP Pharmaceuticals and Cue: 

RVL
Can you tell me the click through for Meta campaigns for Upneeq.com?
Cue
I can calculate Meta's click-through rate. Which time period would you like to analyze?
RVL
By month for 2025
Cue
Executive Summary
Monthly click-through rates (CTR) for Meta campaigns on upneeq.com in 2025 showed variation, peaking in November:
0.90%
August CTR
0.66%
September CTR
1.03%
October CTR
1.42%
November CTR (Peak)
1.16%
December CTR

The Results

From Data Chaos to Data-Driven Growth

With unified data and Cue's conversational analytics, RVL Pharmaceuticals transformed how they understand and act on their marketing performance:

New Segments

LTV insights revealed a previously overlooked customer segment worth pursuing

Double-Digit Growth

Data-driven budget allocation driving measurable customer growth

True CAC

Accurate customer acquisition cost calculated by channel for the first time

Full Attribution

Complete campaign-to-revenue attribution across all channels

Company
 

RVL Pharmaceuticals

Industry
 

Pharmaceuticals

Use Case
 

Marketing Analytics

Data Complexity

High

Get Started

Ready to enable data-driven marketing?

See how e:cue can transform fragmented marketing data into a single source of truth that drives real enrollment outcomes.

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