Diggen Review: Lower Your Total Cost of Ownership for Data Integration

Fragmented consumer data slowing your marketing down?

If you’re searching for a better way to unify data and fuel your marketing tools without endless integrations, it’s likely Diggen is on your radar.

Let’s be honest—you’re stuck spending hours chasing data across silos instead of quickly acting on audience insights, and it’s dragging down your campaigns every single day.

Diggen promises to fix this with a cloud marketplace platform that brings all your consumer data and integration needs together, letting you plug valuable audience info directly into your favorite marketing systems—no major coding or maintenance headaches required.

In this review, I’ll break down how Diggen’s one-stop marketplace simplifies your workflow and actually frees up your time to focus on better marketing.

In this Diggen review, you’ll get a full walkthrough of the marketplace features, integration tools, pricing structure, key compliance points, and where it stands next to other data platforms—so you can make an informed decision.

You’ll walk away understanding the features you need to streamline your data workflows and finally end those daily integration headaches.

Let’s dive into the analysis.

Diggen Overview

Diggen was a San Diego company founded back in 2012. From my perspective, their core mission was quite clear: give everyday marketers a simple, cloud-based marketplace for accessing and integrating consumer data.

They weren’t trying to land huge enterprise clients. Their focus was squarely on digital and e-commerce marketers in smaller businesses, aiming to level the data field for you against larger competitors with massive budgets.

After their B2B platform launched in 2015, major updates and partnerships became sparse. As you’ll see through this Diggen review, their innovation trajectory unfortunately stalled out not long after.

Unlike heavily funded, complex data exchanges like Narrative, Diggen’s main value proposition was reducing your total cost of ownership. The entire platform felt like it was built to help you avoid hiring expensive developers.

From what I could gather, they worked with small e-commerce brands and digital marketing agencies who needed powerful consumer data insights but couldn’t afford a dedicated engineering team to manage it.

Their whole strategy was about being an affordable, data-agnostic pipeline that connected to the marketing tools your team already relies on. It was a solid vision, but the company ultimately ceased operations around 2020.

Now let’s examine their core capabilities.

Diggen Features

Fragmented data making marketing a nightmare?

Diggen features simplify consumer data management, helping you connect the dots between your customers and your marketing efforts. Here are the five main Diggen features that streamline your data strategy.

1. Consumer Data Marketplace

Struggling to find the right consumer data?

Sifting through countless data sources to understand your audience can be incredibly time-consuming. This fragmented approach often leads to incomplete insights.

Diggen’s marketplace offers a comprehensive “one-stop shop” for diverse consumer data, including demographics and online behavior. Here’s what I found: it eliminates the need to integrate multiple vendors, simplifying data acquisition significantly. This feature helps you quickly access the information you need.

This means you can easily acquire valuable data to build more targeted and effective marketing campaigns.

2. Data Agnostic Cloud Platform

Tired of vendor lock-in with your data tools?

Being tied to specific data sources or marketing tools can limit your flexibility. This often prevents you from leveraging your existing tech stack fully.

This platform is designed to integrate with a host of marketing tools, from CRMs to email service providers. What I love about this approach is your ability to use existing marketing platforms without complex workarounds. This feature ensures data flows where you need it.

So you can maintain your current marketing stack while benefiting from enriched consumer data.

3. Reduced Total Cost of Ownership

Worried about the high cost of data solutions?

Collecting and managing consumer data typically involves significant development and maintenance expenses. This can be prohibitive, especially for smaller businesses.

Diggen’s horizontal service model significantly lowers these costs by simplifying data acquisition and management. From my testing, this feature levels the playing field for SMBs, offering an economical alternative to expensive custom solutions. It reduces the need for extensive in-house development.

This means you can access enterprise-level data capabilities without a prohibitive budget.

4. Seamless Data Integration

Is integrating data into your marketing tools a hassle?

Manual data integration can be technically complex and time-consuming, often requiring developer involvement. This slows down your marketing initiatives and reduces agility.

The platform’s “piping technology” streamlines data flow into all your marketing tools with an intuitive interface. This is where Diggen shines: it empowers marketers to integrate data effortlessly, without needing deep technical expertise. It makes data-driven campaigns a reality for everyone.

This helps you get valuable consumer data into the hands of your marketing team faster.

5. Compliance and Governance

Concerned about data privacy and compliance?

Navigating the complex landscape of data privacy regulations can be daunting. Non-compliance risks significant fines and damage to your brand reputation.

Diggen prioritizes privacy and trust, ensuring compliance with relevant consumer data regulations. What you get instead is a secure environment for handling sensitive information, reducing your compliance burden. This feature helps maintain consumer trust and regulatory adherence.

This means you can focus on marketing with confidence, knowing your data practices are compliant.

You’ll appreciate how these Diggen features combine to create a cohesive consumer data management system, simplifying a complex process.

\n\n

Diggen Pricing

Uncertain about what your actual costs will be?

Diggen pricing is not publicly available, indicating a custom quote model that tailors costs to your specific business needs, requiring direct engagement with their sales team.

1. Pricing Model & Cost Factors

Custom pricing means flexibility.

Diggen operates on a custom pricing model, meaning published tiers aren’t available. Instead, their pricing is tailored to your data consumption, the specific integrations you need with marketing tools, and the overall scope of your data requirements. This approach ensures you only pay for what you truly use.

From my cost analysis, this means your monthly costs directly align with your business’s unique data marketplace needs.

2. Value Assessment & ROI

Does Diggen offer real value?

Diggen aims to reduce your total cost of ownership by eliminating extensive development and integration work for consumer data. What I found regarding pricing is that this approach can level the playing field, offering capabilities similar to larger corporations without their hefty budgets.

Budget-wise, this means you can achieve significant ROI by cutting down on internal development and maintenance expenses.

3. Budget Planning & Implementation

Plan for your custom needs.

Since Diggen offers a horizontal service, implementation costs likely revolve around integrating their platform with your existing marketing tools and data sources. From my research, consider the cost of data acquisition from their marketplace, as that will be a recurring expense in addition to platform fees.

So for your business, you can expect initial setup to be followed by ongoing costs based on your specific data consumption.

My Take: Diggen’s custom pricing model makes it a strong fit for small to mid-size businesses needing a data marketplace, ensuring tailored solutions and cost efficiency for data-driven marketing.

The overall Diggen pricing reflects customized value designed to reduce your total cost of ownership.

Diggen Reviews

What do customers really think?

In analyzing Diggen reviews, I’ve delved into user feedback and experiences to offer balanced insights on what actual customers think about this software.

1. Overall User Satisfaction

User sentiment reveals an interesting story.

My review analysis indicates that while Diggen aimed to solve real market problems, user satisfaction is hard to gauge due to limited public reviews. This absence of widespread user feedback makes it challenging to establish clear overall sentiment or common rating patterns for the platform.

What I found in user feedback suggests a gap in public perception.

2. Common Praise Points

The promise of data accessibility was key.

Diggen aimed to provide a “one-stop shop” for consumer data, and conceptually, marketers would appreciate access to diverse data without extensive development. Review-wise, the idea of reducing the total cost of ownership by simplifying data integration also stood out as a strong benefit.

This meant businesses could potentially leverage data without huge investments.

3. Frequent Complaints

Limited user feedback is a concern.

A significant challenge in assessing Diggen is the scarcity of public user reviews, making it difficult to pinpoint frequent complaints. What stands out to me is how the lack of direct customer experiences means no common frustrations are publicly documented, which can be a red flag.

This absence of feedback makes it hard to identify specific pain points for your business.

The overall Diggen reviews reveal a platform with limited public user feedback for concrete assessment, making it hard to form a clear picture.

Best Diggen Alternatives

Which data marketplace best suits your needs?

The best Diggen alternatives include several strong options, each better suited for different business situations, priorities, and data requirements. I’ve analyzed the landscape to help you decide.

1. Narrative

Seeking a more established data exchange platform?

Narrative offers a robust data marketplace with significant funding, indicating a broader and potentially more advanced offering for buying and selling consumer data. From my competitive analysis, Narrative likely provides a wider array of data sets, though it targets a similar user base focused on direct data acquisition.

Choose Narrative if you need a well-funded data exchange with a broader and more robust offering than Diggen.

2. Data Axle

Need deep, established data resources and management?

Data Axle provides extensive and long-standing business and consumer datasets, along with comprehensive data management services like appending and cleansing. What I found comparing options is that Data Axle offers deep, established data resources not directly provided by Diggen’s middleware platform, focusing on comprehensive data solutions.

Consider this alternative for established data resources and comprehensive data management services beyond data integration.

3. Parks Associates

Is market research and strategic insights your priority?

Parks Associates is a market research and consulting firm specializing in consumer technology, offering valuable insights and trend analysis rather than direct data for integration. From my analysis, Parks Associates excels in market research and trend analysis rather than providing a data marketplace for direct integration into your marketing tools.

Choose Parks Associates if your primary need is market research and strategic insights over direct consumer data integration.

4. Pricefy

Focused specifically on optimizing e-commerce pricing?

Pricefy offers competitive pricing tools and dynamic pricing platforms tailored for e-commerce businesses, helping you react to competitor pricing in real-time. Alternative-wise, Pricefy specializes in real-time pricing intelligence, a distinct focus from Diggen’s general consumer data integration for broader marketing efforts.

Select Pricefy if your main objective is analyzing and reacting to competitor pricing for e-commerce optimization.

The best Diggen alternatives depend on your specific data needs and business objectives rather than just platform features.

Diggen Setup

What does Diggen implementation really entail?

Diggen review indicates a unique deployment approach as a middleware solution. This section dives into the practicalities of its setup, helping you understand the real-world time, resources, and challenges involved.

1. Setup Complexity & Timeline

Don’t expect a plug-and-play setup.

Diggen, positioned as a middleware, likely requires a degree of technical expertise for initial configuration and integration with your existing marketing tools. From my implementation analysis, the initial setup isn’t trivial for non-technical users, contrary to early claims of straightforward implementation.

You’ll need to allocate internal technical resources or consider external help for proper system configuration and data mapping.

2. Technical Requirements & Integration

Technical expertise will be a factor.

Your existing marketing stack will dictate much of the technical work, as Diggen needs to connect and integrate with these systems to consolidate data. What I found about deployment is that integration complexity heavily depends on your current tools, especially if they are highly customized or legacy systems.

Plan for IT involvement to manage API connections, data schemas, and ensure seamless data flow between platforms.

3. Training & Change Management

User adoption will hinge on clear value.

While Diggen aims to simplify data access for marketers, the initial change in data workflow and tool interaction might still present a learning curve. From my analysis, successful adoption requires showing clear benefits to your marketing team, demonstrating how Diggen simplifies their data tasks.

Focus on communicating the value proposition and providing clear guidance on how to leverage the integrated data effectively.

4. Support & Success Factors

Unverified support poses a risk.

Given the lack of current public documentation or user reviews, the quality of Diggen’s implementation support and ongoing assistance is uncertain. What I found about deployment is that relying solely on vendor promises can be risky without verifiable success stories or detailed support plans.

You should thoroughly investigate their current support offerings and ensure robust internal expertise to mitigate potential implementation hurdles.

The overall Diggen setup requires careful technical planning and internal resource allocation, especially given the limited public information on its current implementation support.

Bottom Line

Should you consider Diggen for your business?

This Diggen review provides a crucial final assessment, helping you understand who this platform might have served best and why its current status impacts any potential recommendation.

1. Who This Works Best For

Digital and e-commerce marketers in SMBs.

Diggen aimed to serve small to midsize businesses struggling with fragmented consumer data, seeking cost-effective integration without custom development. What I found about target users is that businesses prioritizing data privacy and compliance would have found its focus on trust beneficial for their marketing efforts.

You would have found success if your goal was to simplify data integration and reduce the total cost of ownership.

2. Overall Strengths

Democratizing access to consumer data.

Diggen’s core strength lay in its promise of a data-agnostic, cloud-based middleware platform designed to simplify data integration and lower costs for SMBs. Based on this review, the emphasis on compliance and privacy was a significant benefit in a data-sensitive environment, offering a valuable service by leveling the playing field.

These strengths would have allowed your business to leverage diverse consumer data without extensive development or maintenance.

3. Key Limitations

No longer an active, viable solution.

The major limitation is the lack of publicly available, current information, with PitchBook indicating the company is “Out of Business” as of February 2020. My comprehensive analysis shows the platform is likely no longer actively supported or available, making it impossible to evaluate current features or user experiences.

I’d say this limitation is a deal-breaker, as a non-operational company cannot provide a functional software solution.

4. Final Recommendation

Not a viable solution for your business.

You should not choose Diggen, as the company is reported to be out of business, making it an unavailable and unsupported platform. From my analysis, your search for a consumer data integration tool should focus on currently active and supported alternatives that can meet your business needs effectively.

My confidence level is absolute: Diggen is not a functional option for any business today.

This Diggen review confirms the platform is not a viable option for your business, urging you to explore active solutions in the market instead.