How Two Founders Grew Archive to $100M Valuation in 18 Months

February 28th, 2025

Founded By

Paul Benigeri

Monthly Revenue

$208K

Founders

Employees

25 (est.)

Profitable

Yes

Year Started

2021

Customer

B2B & B2C

Founded By
Paul Benigeri: Monthly Revenue
$208K: Founders
2

Employees
25 (est.): Profitable
Yes: Year Started
2021

Customer
B2B & B2C

Who is Paul Benigeri?

Paul Benigeri, co-founder of Archive, holds a bachelor's degree in Computer Science from Stanford University. Before founding Archive in 2021, he gained valuable experience as the VP of Growth and Engineering at a food and beverage startup.

What problem does Archive solve?

Archive solves the problem of manually managing influencer content by automating the collection and organization of user-generated content, saving brands countless hours and ensuring no valuable marketing content is lost.

Archive.com

How did Paul come up with the idea for Archive?

Paul Benigeri's journey to founding Archive began with his firsthand experience in the inefficiencies of managing influencer content during his stint as VP of growth at an F&B startup. He noticed the laborious manual work involved in scrolling through Instagram to manage influencer posts, which convinced him there had to be a better way. Recognizing this, he focused on resolving the problem of inefficiency by integrating technology, particularly AI, into influencer marketing to streamline processes and manage the surge in short-form video content efficiently.

Before committing to the venture, Paul and his co-founder, Geoffrey Woo, conducted extensive research into the influencer marketing landscape, identifying gaps in supporting the rise of platforms like TikTok and Instagram Reels. They discovered that existing systems were inadequate for tracking the content explosion in these areas. Their research and observations led them to create a solution that automated these labor-intensive tasks, proving the concept's validity.

Paul encountered challenges, such as maintaining focus amid rapid growth and project juggling, which initially led to setbacks. He overcame these by refocusing the team on core objectives and learning the importance of balancing ambition with sustainable growth. Through iteration and feedback, Archive refined its offering, ensuring it met the rising demands of influencer marketers. The experience taught Paul a key lesson: the significance of maintaining perspective and adapting strategies based on practical, real-time insights.

How did Paul Benigeri build the initial version of Archive?

Paul Benigeri and his team at Archive built the initial version of their product by leveraging advanced technologies like AI to streamline influencer marketing and e-commerce processes. They focused on automating the labor-intensive tasks of managing user-generated content (UGC) and influencer interactions, incorporating machine learning to track and save social media mentions of brands across platforms like Instagram and TikTok. For their tech stack, they likely utilized a combination of AI algorithms and robust data processing tools to enable these capabilities, although specific tools are not detailed in the available sources.

The development process involved engineering sophisticated algorithms to scour social media for potential influencers and build authentic relationships through AI-driven but personalized communication. This approach required extensive testing and iteration to ensure the algorithms could manage these complex social interactions effectively at scale. Given the intricacies of AI and influencer networks, the initial phase was challenging and intensive, taking several months to create a system that could reliably automate these processes.

Despite the difficulties, such as maintaining genuine connections in an automated system and scaling communications without diluting personal touch, Benigeri’s experience in both software engineering and e-commerce enabled the team to create a product that supports brands in maximizing their digital community marketing efforts effectively. This meticulous combination of automation with real human interaction marked a significant innovation in influencer marketing strategies.

What were the initial startup costs for Archive?

Funding Rounds: Archive raised a total of over $12 million across several early funding rounds, including a $4 million seed round led by Stripe, Lux Capital, and others, as well as an $8 million Seed-2 round led by Tiger Global and Human Capital.

What was the growth strategy for Archive and how did they scale?

Influencer Marketing

Archive uses influencer marketing as a key growth channel by building authentic, scalable relationships with micro and nano influencers. Rather than focusing on large, pricey influencers, they reach out to smaller influencers who have higher engagement rates and genuine connections with their followers. Archive's software helps brands find untapped influencers with great engagement and manages these relationships by generating authentic conversations over time.

Why it worked: This approach allows Archive to efficiently scale influencer partnerships and maintain a human touch, making influencers feel valued and appreciated. This results in influencers being more willing to authentically endorse products, which increases brand trust and engagement from the followers, driving sustainable growth.

Community Marketing

Archive has pioneered the "community marketing" approach by embracing and automating community building. They help brands form in-house influencer communities where relationships are nurtured over time through constant interaction and feedback, boosting authenticity and engagement. Using the Archive App, brands automatically save and manage content, preventing the loss of valuable UGC.

Why it worked: By focusing on community rather than one-off marketing strategies, Archive ensures that brands foster long-term relationships with influencers and customers. This creates a sustainable model where word-of-mouth and organic user-generated content drive more engagement and sales than traditional paid marketing tactics.

User-Generated Content (UGC)

Archive places a significant emphasis on user-generated content by automating the detection and curation of brand-tagged posts. Their platform saves Instagram and TikTok posts, stories, and reels, streamlining the collection of authentic content that can be utilized across campaigns.

Why it worked: UGC is deemed incredibly trustworthy by consumers. Automatically curating this content saves brands time and creates a pool of authentic content that can be leveraged for storytelling and advertising purposes. This enhances brand authenticity and encourages organic marketing, resulting in higher consumer trust and engagement.

Software Integration

The Archive App, a Shopify app, automatically detects and saves social media mentions, enabling brands to easily filter and utilize UGC. This integration simplifies community marketing by automating labor-intensive tasks, making it accessible and efficient for brands to manage vast amounts of social content.

Why it worked: This seamless integration into existing platforms like Shopify and the intuitive use of automation reduces manual labor and allows brands to effectively harness UGC, increasing marketing efficiency and ROI. By making these processes easy to implement, Archive lowers the barriers to entry for brands wanting to adopt community and influencer marketing strategies.

What's the pricing strategy for Archive?

Archive employs a freemium pricing strategy with its Archive App for Shopify, providing automated content management for free up to certain usage limits and optional premium plans starting around $99/month for higher volume users. Archive Communities, designed for scalable influencer engagement, typically starts at $10,000/month, targeting businesses looking to activate 100-1,000 influencers monthly.

What were the biggest lessons learned from building Archive?

Focus on Core Business: Archive learned the hard way that overextending can lead to overspending and lost deals. By refocusing on their core business, they were able to rebuild relationships and morale, emphasizing the importance of prioritizing what truly matters.
Embrace Remote Team Dynamics: Archive thrived by mastering asynchronous communication, enabling them to work effectively with a diverse team across the globe. This shows how embracing remote work can attract strong talent and boost team collaboration.
Foster Ownership and Growth: Archive's success with offshore talent shows the value of trust and true ownership. Giving team members real responsibilities, even when others doubt, can lead to unexpected growth and empowerment.
Leverage Technology Wisely: By integrating AI into influencer marketing workflows, Archive minimized manual processes and enhanced productivity. This highlights the benefits of using technology to streamline operations and stay ahead in a competitive market.
Lean into Community Marketing: Archive’s approach to building in-house communities for brands emphasizes the power of community marketing. Aspiring founders should consider the value of authentic customer connections as a driving force for brand loyalty and growth.

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