We detected 778 customers using Okendo, 161 companies that churned or ended their trial, and 69 customers with estimated renewals in the next 3 months. The most common industry is Retail (46%) and the most common company size is 2-10 employees (54%). Our methodology involves detecting JavaScript snippets or configurations on customer websites.
About Okendo
Okendo provides a unified customer marketing platform for Shopify brands that combines reviews, loyalty programs, referrals, quizzes, and surveys to help turn shoppers into engaged brand advocates and drive revenue growth through authentic customer feedback and personalized experiences.
📊 Who in an organization decides to buy or use Okendo?
Source: Analysis of 100 job postings that mention Okendo
Job titles that mention Okendo
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Based on an analysis of job titles from postings that mention Okendo.
Job Title
Share
Ecommerce Manager
18%
Email Marketing Specialist
14%
Customer Experience Associate
11%
Lifecycle Marketing Manager
11%
My analysis shows that Okendo is primarily purchased by ecommerce and marketing leaders in DTC consumer brands, particularly those operating on Shopify. Ecommerce Managers (18%) and Email Marketing Specialists (14%) make up nearly a third of roles mentioning Okendo, alongside Lifecycle Marketing Managers (11%) and CRM Specialists (7%). These buyers are focused on maximizing customer lifetime value, improving retention metrics, and building scalable revenue through their direct-to-consumer channels. The two leadership roles I found were both at the director level, suggesting purchasing decisions often sit with mid-level ecommerce or marketing leadership rather than the C-suite.
Day-to-day users are primarily marketing operations specialists and customer experience teams who integrate Okendo into their tech stacks alongside Klaviyo, Gorgias, Shopify, and loyalty platforms. These practitioners are responsible for collecting and displaying customer reviews, managing product content, optimizing conversion rates, and creating personalized customer journeys. One posting specifically listed responsibilities to integrate and troubleshoot Okendo alongside other key apps, while another mentioned managing reviews through the Okendo platform as part of technical support duties.
The core pain point across these postings is building customer advocacy and increasing lifetime value in competitive DTC markets. Companies want to turn customers into repeat buyers and brand advocates, with phrases like "turn one time shoppers into revenue-driving Superfans" and "drive customer engagement, retention, and revenue growth" appearing repeatedly. Another posting emphasized "cultivating brand advocacy and maximizing lifetime value" as central goals, revealing that Okendo buyers see social proof and reviews as critical retention and conversion tools.
🔧 What other technologies do Okendo customers also use?
Source: Analysis of tech stacks from 778 companies that use Okendo
Commonly Paired Technologies
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Shows how much more likely Okendo customers are to use each tool compared to the general population. For example, 287x means customers are 287 times more likely to use that tool.
I noticed that Okendo users are direct-to-consumer e-commerce brands running sophisticated, retention-focused operations on Shopify. The combination of tools reveals companies that have moved beyond basic online selling into optimizing customer lifetime value through reviews, personalization, and multi-channel marketing automation. These aren't just stores with a cart, they're brands building long-term customer relationships.
The pairing with Gorgias makes perfect sense because customer service becomes critical when you're collecting and displaying reviews. These companies need to respond quickly to feedback, turn negative experiences around before they become public reviews, and use support conversations to generate positive testimonials. Rebuy Engine's presence tells me they're investing heavily in post-purchase revenue through personalized recommendations and upsells, which pairs naturally with social proof from Okendo to boost conversion on those recommendations. Triple Whale appearing so frequently suggests these are data-driven operators who need to understand which products generate the best reviews and how social proof impacts their advertising ROI across channels.
My analysis shows these are marketing-led companies in growth or scale-up stages. They've likely reached a point where they have enough customers to make review collection meaningful but still need to optimize conversion rates to improve their unit economics. The Klaviyo and Attentive combination reveals an omnichannel retention strategy using email and SMS, where reviews likely feed into segmentation and personalization. These companies understand that acquiring customers is expensive, so they're building infrastructure to maximize repeat purchases.
👥 What types of companies is most likely to use Okendo?
Source: Analysis of Linkedin bios of 778 companies that use Okendo
Company Characteristics
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Shows how much more likely Okendo customers are to have each trait compared to all companies. For example, 2.0x means customers are twice as likely to have that characteristic.
Trait
Likelihood
Industry: Retail Health and Personal Care Products
48.5x
Industry: Personal Care Product Manufacturing
33.8x
Industry: Retail Apparel and Fashion
14.8x
Country: AU
4.1x
Country: US
2.4x
Company Size: 11-50
1.2x
I noticed that Okendo's customers are predominantly direct-to-consumer brands selling physical products across beauty, apparel, wellness, home goods, and specialty retail. These aren't marketplace sellers or service companies. They're companies that manufacture or curate tangible products and sell them primarily through their own channels, whether that's their website, their own retail stores, or select stockists. Many emphasize that they design in-house and control their supply chain, from jewelry makers to skincare formulators to furniture manufacturers.
These are mostly growth-stage companies, not startups or Fortune 500s. The employee counts cluster between 10 and 200 people, with most falling in the 11-50 range. When funding is mentioned, it's typically seed or Series A rounds in the single-digit millions. They're past the garage phase but still founder-led and nimble. Many mention being "family-owned," "founded by," or led by visible founders, suggesting they haven't been acquired by conglomerates yet.
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