We detected 680 customers using Opinew, 118 companies that churned, and 12 customers with upcoming renewal in the next 3 months. The most common industry is Retail (82%) and the most common company size is 2-10 employees (86%). We find new customers by detecting JavaScript snippets or configurations on customer websites.
👥 What types of companies is most likely to use Opinew?
Source: Analysis of Linkedin bios of 680 companies that use Opinew
Company Characteristics
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Shows how much more likely Opinew 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: Manufacturing
9.9x
Industry: Retail
7.6x
Country: IN
2.7x
Country: GB
1.2x
I noticed that Opinew's typical users are direct-to-consumer brands selling physical products, often with a strong e-commerce focus. These companies span consumer goods like personal care (Nature Spell, EBIN NEW YORK), food and beverage (CatSpring Yaupon, Saint James Iced Tea), home products (MUNBYN label printers, HealthyLine heated mats), and lifestyle items (PAVOI jewelry, Ranger Ready Repellents). They're product manufacturers or retailers who need to build trust with online shoppers through social proof.
These are predominantly small to mid-sized companies in growth mode. Employee counts cluster in the 2-10 and 11-50 ranges, with some reaching 51-200. Many mention founding dates in the 2010s, suggesting they're past the earliest startup phase but still scaling. The funding data is sparse, but when present shows seed or Series A stages. Very few appear to be mature enterprises. They're at the stage where customer reviews and reputation building are critical, but they likely lack the brand recognition of established players.
🔧 What other technologies do Opinew customers also use?
Source: Analysis of tech stacks from 680 companies that use Opinew
Commonly Paired Technologies
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Shows how much more likely Opinew 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 Opinew users are almost exclusively direct-to-consumer e-commerce brands operating on Shopify. The overwhelming presence of Shopify (26.8x more likely) as the foundation, combined with review management tools like Stamped.io and social proof infrastructure, tells me these are companies selling physical products online who understand that customer reviews directly impact conversion rates.
The pairing of Klaviyo (28.5x more likely) with Opinew makes perfect sense because these brands are using reviews as marketing fuel. They're collecting product reviews through Opinew and then segmenting customers in Klaviyo to send targeted email campaigns featuring those reviews or requesting feedback from recent buyers. The strong presence of Facebook Ads suggests they're running paid acquisition campaigns and likely using review content in their ad creative to build trust. Meanwhile, Uppromote appearing 46.8x more often indicates many are running affiliate or referral programs, which work better when you can showcase authentic customer testimonials.
My analysis shows these are marketing-led companies in growth mode. They're investing heavily in the full e-commerce growth stack: paid acquisition through Facebook, retention through email marketing, and conversion optimization through social proof. The Google Search Console presence suggests they care about organic discovery too, but the emphasis on paid channels and retention tools tells me they're actively spending to acquire customers and trying to maximize lifetime value. These aren't early-stage startups figuring things out, they're established enough to have multiple marketing channels running simultaneously.
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