Top 14 Bizible Alternatives & Competitors [Ranked & Rated]

When it comes to marketing attribution, Bizible often gets attention, especially since Adobe’s acquisition. 

But despite its past success, Bizible’s reliance on third-party cookies and outdated tracking methods is a major drawback. 

As third-party cookies are phased out and browsers block cross-domain tracking, Bizible’s technology becomes increasingly ineffective, bringing your attribution efforts to a standstill [*]. 

To make matters worse, issues like CNAME cloaking and the identification of such practices by browsers only further complicate Bizible’s ability to provide accurate multi-touch attribution. 

If your marketing strategy relies on real-time, reliable data, Bizible’s slow adaptation to cookie-less tracking will leave you with significant blind spots. 

Here's what one unhappy user shared:

Why Look for an Alternative to Bizible (Adobe Marketo Measure)? 

• Manual Consumer Addition Disrupts UTM Tracking. Users frequently need to manually add or import new consumers into Salesforce, which disrupts UTM tracking. This is particularly problematic because the data does not come from a form fill, leading to inaccuracies in tracking and reporting. The manual process can be a bottleneck, especially for teams that rely on automated tracking systems for accurate marketing attribution. [*]. 
  

• Limitations in Cost Integration and ROI Reporting. Bizible presents notable limitations when it comes to cost integration and ROI reporting. The platform requires manual input of costs from ad platforms that lack direct integrations. This manual process prevents accurate ROI reporting within Bizible, forcing teams to conduct ROI analysis separately. Additionally, there is a persistent issue of data loss for web users with disabled cookies, as Bizible’s JavaScript fails to capture source attribution for 100% of web touches. This leads to incomplete data, which can compromise the accuracy of marketing analytics [*].
  

• Inconsistent Support from the Customer Service Team. Bizible’s customer support also falls short at times, with users reporting that they sometimes receive less comprehensive answers than expected. This inconsistency in support can be frustrating, particularly when users encounter complex issues that require thorough and prompt resolution [*].
  

• Difficult Implementation and Data Verification. The implementation of Bizible can be particularly challenging, with users facing difficulties in data verification. There are recurring issues where certain submissions or touch points fail to appear in the app, leading to gaps in tracking and data accuracy. These issues complicate the overall setup, leading to frustration during the initial deployment and ongoing use of the software [*]. 

💡HockeyStack Advantage →

Compared to Bizible, HockeyStack provides both cookieless (fingerprinting) and cookie-based tracking across multiple touchpoints, enabling customers to see more tracked users and 40% more accuracy in users matched to opportunities.

Top Bizible Competitors on the Market

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1. HockeyStack

HockeyStack is a robust no-code B2B marketing attribution software designed to provide in-depth insights into the customer journey by tracking and analyzing every touchpoint across various channels. This platform provides granular data on how marketing efforts contribute to pipeline creation and revenue growth, making it a valuable tool for marketing teams looking to maximize ROI. 

With its user-friendly interface, HockeyStack allows for seamless integration with other tools and platforms, ensuring that users can integrate their marketing data into a single source of truth. 

One of the standout features of HockeyStack is its ‘attribution models’ which gives users the flexibility to choose the model that best suits their business needs, whether it’s first-touch, last-touch, or a custom model tailored to their unique sales process. 

HockeyStack also offers a wide range of reporting and analytics tools that allow users to visualize their data in ways that make sense for their organization. From customizable dashboards to detailed reports, users can gain actionable insights into the performance of their marketing campaigns. 

Key Features

• Anonymous User Tracking. Tracks anonymous users across sessions and channels, offering a more complete view of the customer journey, even before the user becomes a known lead.
  

• Conversion Path Tracking. Provides a detailed analysis of the exact sequences of interactions users take before converting. It tracks every touchpoint, from the first visit to the final conversion event, offering insights into which channels, content, or campaigns are driving the most conversions. 
  

• Funnel Analysis. Helps visualize the stages of your user journey, showing where potential customers drop off before completing a conversion. You can also use this feature to compare different funnels, test changes, and measure the impact of optimizations over time.
  

• Event-Based Analytics. Allows you to track specific user interactions, such as button clicks, form submissions, or video plays. By analyzing these events, you can determine which elements of your website or app are engaging users the most and which need improvement.
  

• Custom Segments. This lets you create targeted user groups based on specific criteria, such as behavior patterns, demographics, or acquisition channels. 
  

• Real-Time User Journey Mapping. Provides live tracking of how users navigate through your site or app, showing the exact paths they take from entry to exit. 
  

• Behavioral Cohorts. Groups users based on their behavior over time, such as users who signed up in the same week or who performed a specific action. This feature helps you analyze trends within these groups, such as retention rates, engagement levels, or revenue generation. 

New to HockeyStack? Learn better by doing → Play with the interactive demo. 

Why Do Companies Choose HockeyStack Over Bizible?

Before you hear it from us, listen to what our friends at Planful have to say: 

Read The Case Study → How Shifting From Bizible to HockeyStack Changed Planful’s Marketing Team. 

Now back to us, here are reasons why companies prefer HockeyStack: 

Advanced Analytics and Attribution Models

HockeyStack offers an advanced analytics platform that allows users collect and analyze granular data across multiple channels. Its multi-touch attribution models are customizable, enabling businesses to track the customer journey more accurately and understand the true ROI of their marketing efforts. 

Unlike Bizible, which primarily focuses on attribution within specific marketing channels like PPC and SEO, HockeyStack provides a unified view, including insights from organic social media, content marketing, and even offline campaigns. 

This broader scope ensures that no touchpoint is overlooked, offering a clearer picture of how different strategies contribute to conversions. 

Ease of Implementation and Use

HockeyStack is easy to implement as it does not require extensive technical knowledge, making it accessible to teams without a dedicated IT department. 

This ease of use contrasts with Bizible, which often requires more complex setup and ongoing management, particularly when integrating with other platforms like Salesforce. 

HockeyStack’s intuitive dashboard allows users to quickly generate reports and visualize data, reducing the time spent on manual data processing and interpretation. 

Comprehensive Data Tracking

HockeyStack offers the ability to track data across various platforms and touchpoints, including those that are traditionally hard to measure, like user interactions on a website or in-app behaviors. 

It provides deep insights into user engagement, content performance, and conversion paths, which Bizible may not capture in as much detail. 

HockeyStack’s event-based tracking system also collects detailed user data without the need for manual tagging, ensuring that every action is recorded and analyzed. 

Scalability and Flexibility

HockeyStack offers greater flexibility in terms of scaling with your business needs. It is designed to handle large volumes of data from various sources, making it suitable for companies of all sizes, from startups to large enterprises. 

Bizible, on the other hand, may require more customization and integration work as businesses grow and expand their marketing efforts. 

HockeyStack’s scalability ensures that as your data and analytics needs evolve, the platform can continue to provide valuable insights without requiring significant adjustments or additional resources. 

Custom Reporting and Insights

With HockeyStack, users can select from a wide range of metrics and dimensions to build reports that provide actionable insights. 

While Bizible also offers reporting features, they are more rigid and often tied to specific marketing channels. 

HockeyStack’s flexibility in reporting ensures that businesses can focus on the metrics that matter most to them, whether it’s customer lifetime value, specific campaign performance, or detailed funnel analysis. 

Recommended → How Raintree Increased Their MQLs by 34% and Decreased CAC by 15%. 

Here is What Real Users Are Saying About the Benefits of HockeyStack

• Comprehensive Integration. HockeyStack allows easy integration with CRMs and other third-party tools, enabling the monitoring of the entire Go-to-Market (GTM) department’s performance [*]. 
  

• Effective Decision-Making. HockeyStack is instrumental in facilitating data-driven decisions about marketing strategies, directly linking actions to outcomes in pipeline development and closed-won business [*]. 
  

• User-Friendly Analytics. The intuitive interface of HockeyStack simplifies real-time tracking and analysis of user behavior and campaign effectiveness, ideal for teams looking to improve their analytics capabilities [*].
  

• Long Sales Cycle Insights. HockeyStack offers insights into long-term buyer engagement in B2B sales, helping to refine strategies based on actual user interactions [*].
  

• Superior Multi-Touch Attribution and Budget Optimization. HockeyStack helps identify which channels contribute most effectively to MQLs, SALs, and closed/won opportunities. The insights gained are crucial for optimizing budget allocation and enhancing underperforming channels, with lift reports offering additional analysis on the influence of specific content, campaigns, or channels on progressing prospects through the sales funnel [*]. 

👉 Read The Case Study → How ActiveCampaign Hit Their Monthly Revenue Targets After Cutting Spend in Half

💡Who is HockeyStack a Good Fit for?

HockeyStack is ideal for B2B companies that need detailed, multi-touch attribution to understand complex customer journeys. 

It’s particularly useful for marketing teams that want to go beyond surface-level metrics and dive deep into the data to optimize every stage of their marketing funnel. 

The platform’s customization capabilities make it suitable for businesses with unique sales cycles and those looking for a solution that can adapt to their specific needs. 

See the difference for yourself — get started with HockeyStack

2. Dreamdata

Dreamdata is a B2B marketing attribution solution that focuses on connecting marketing activities to actual revenue outcomes, offering a comprehensive view of your pipeline. 

The platform boasts of the ability to align marketing and sales data, ensuring that every interaction across various channels is tracked and linked to revenue generation. 

For the most part, Dreamdata is designed for B2B companies with complex sales processes, allowing marketers to understand the true impact of their campaigns on revenue, deal velocity, and customer acquisition costs. 

Dreamdata’s capabilities also include mapping out detailed customer journeys and providing full-funnel attribution. This means you can track how various touchpoints across the marketing and sales journey contribute to deal progression, giving you clearer insights into what drives revenue. The platform integrates seamlessly with multiple CRM and marketing automation systems, making it easy to collect and analyze data across different departments. 

Key Features

• Ad Spend ROI Tracking. Integrates with ad platforms such as Google Ads and Facebook Ads to track the return on investment (ROI) from paid advertising efforts.
  

• Touchpoint Analytics. Breaks down the performance of individual touchpoints, such as webinars, emails, or blog posts. 
  

• Cross-Departmental Data Integration. Integrates data from marketing, sales, and customer success platforms, creating a unified view of the customer journey and making collaboration between teams easier.
  

• Time-to-Revenue Analysis. Tracks the time taken for leads to convert into paying customers, providing insights into deal velocity and allowing businesses to optimize their sales processes.
  

• Full-Funnel Reporting. Provides detailed reports that show how marketing efforts impact each stage of the sales funnel, from lead generation to deal closure. 

Why Do Users Like Dreamdata? 

• Comprehensive Attribution Insights. Dreamdata provides a complete view of the customer journey, enabling users to understand the effectiveness of each marketing channel and touchpoint [*]. 
  

• Detailed Conversion Tracking and Optimization. The tool provides an in-depth look at all channels involved in a buyer’s journey, from initial engagement to final deal closure. This extensive data capture allows for strategic decision-making, helping marketers optimize their efforts based on precise, data-driven insights [*]. 
  

• User-Friendly Interface and Valuable Insights. The platform stands out for its user-friendly interface that caters to non-technical users. It provides detailed analyses of how marketing campaigns influence business deals, supported by intuitive views and dimensions. The exceptional customer support is frequently highlighted, enhancing user experience and satisfaction [*]. 

What Are Some Limitations of Dreamdata?

• Initial Setup and Learning Curve. Some users find the platform reports overwhelming at first, noting that it takes time to fully leverage its capabilities. The cost can also be challenging for smaller companies or those with limited budgets, making it essential to weigh the investment against potential returns [*]. 
  

• Integration and Functionality Limitations. There are gaps in the platform’s integration capabilities, which can hinder the ability to produce a comprehensive marketing scorecard. Users have expressed a desire for improvements in tracking complex sales motions like upsell/cross-sell and more granular advertising data in ABM dashboards [*].
  

• Limited Reporting Flexibility. Users note the absence of custom report creation, particularly for comparing different time periods directly within the platform. This limitation requires them to manually toggle between various reports to analyze trends over time, which can be cumbersome and time-consuming [*, *]. 

Pricing

• Free. $0 per month. 
• Team. $999 per month.
• Business. $2,499 per month. 
• Enterprise. Custom. 

💡Who is Dreamdata a Good Fit for?

Dreamdata is best suited for B2B companies that want to tie marketing activities directly to revenue and understand their impact on the sales pipeline. It’s ideal for teams that need full-funnel attribution and insights into complex customer journeys. 

3. Factors.ai

Factors.ai is another marketing attribution platform that leverages artificial intelligence and machine learning to provide deeper insights into marketing performance. It is designed to automate the process of attribution, helping businesses understand which marketing efforts are driving conversions and how various touchpoints contribute to revenue generation. 

The platform also features predictive analytics, which enables businesses to forecast future trends and optimize campaigns based on historical data and current performance metrics. This makes it ideal for companies that want to take a data-driven approach to marketing optimization.

Key Features

• Lead Scoring Models. Offers dynamic lead scoring models that assess and rank leads based on their behavior, engagement, and demographics. 
  

• Customizable Dashboards. Offers fully customizable dashboards that allow users to visualize their marketing data in real-time, helping teams track performance across multiple metrics.
  

• Multi-Touch Attribution. Tracks every interaction a prospect has with your business, ensuring a comprehensive view of the customer journey.
  

• Real-Time Campaign Insights. Delivers real-time insights into campaign performance, enabling marketers to adjust strategies on the fly and optimize ROI.
  

• Anomaly Detection. Features built-in anomaly detection that identifies unusual patterns in your marketing data, alerting you to potential issues or opportunities in your campaigns. 

Why Do Users Like Factors.ai? 

• Immediate Traffic Quality Insight. Factors.ai provides rapid feedback on the quality of traffic from various channels, enabling users to assess the effectiveness of campaigns almost immediately [*].
  

• User-Friendly Setup and Support. The platform is noted for its ease of setup and responsive customer support, simplifying the process of tracking company visits and engagement on the website. This user-friendliness is complemented by practical tools for lead deanonymization and integration with broader marketing technologies [*]. 
  

• Flexibility and Easy Integration. The flexibility of the Factors.ai product and its team is highly valued, with quick and responsive handling of various user requirements. The platform’s ease of integration with existing tech stacks and its straightforward usability make it a preferred choice for many users [*].

What Are Some Limitations of Factors.ai?

• Complex Navigation and Usability Issues. The platform is complex to navigate, suggesting that its powerful features are best suited for dedicated ‘Marketing Operations’ professionals rather than generalists [*]. 
  

• Inconvenient User Interface for Visitor Analysis. The interface requires users to navigate back and forth to view detailed activity for each company visitor, which can be time-consuming, especially when dealing with large numbers of visitors [*].
  

• Data Synchronization and Accuracy Issues. Discrepancies between data shown in Salesforce (SFDC) and Factors.ai can lead to confusion and mistrust of the data provided. Additionally, glitches in segment views and occasional inaccuracies in user or company data retrieval result in challenges for users relying on this data for precision-targeted marketing campaigns [*, *]. 

Pricing

• Free. $0 per month. 
• Basic. $399 per month.
• Growth. $999 per month.
• Enterprise. Custom. 

💡Who is Factors.ai a Good Fit for?

Factors.ai is ideal for B2B companies looking to leverage artificial intelligence for marketing attribution. It’s best for teams that want to automate attribution processes, gain real-time insights, and use predictive analytics to drive future campaign success. 

4. Ruler Analytics

Ruler Analytics is a marketing attribution platform that specializes in providing multi-channel attribution and closed-loop reporting for B2B businesses. 

It enables companies to track and analyze how different marketing channels contribute to customer conversions, offering a granular view of the customer journey from the first interaction to final sales. By tying leads generated through digital campaigns back to their original sources, companies can accurately measure the ROI for each marketing activity. 

Ruler Analytics also helps teams attribute value across the entire customer journey, not just the last click, ensuring that credit is distributed fairly among all contributing factors. 

Key Features

• Call Tracking. Offers advanced call tracking that records calls, measures the sources of inbound calls, and links them to specific marketing campaigns. 
  

• Form Tracking. Tracks form submissions and connects them to specific marketing activities. This includes leads generated through contact forms, demo requests, or surveys. 
  

• Visitor-Level Data Collection. Collects granular, visitor-level data to show you exactly how individual users interact with your site. This feature tracks user activity over multiple sessions, allowing you to gain deeper insights into how specific prospects engage with your content over time.
  

• Marketing Source Attribution. Tracks the original sources of all leads and conversions, allowing you to attribute marketing success to the channels and campaigns that generated initial interest.
  

• Campaign-Level ROI Reporting. Measures the ROI at the campaign level, linking the marketing spend for specific campaigns with the revenue they generate. 

Why Do Users Like Ruler Analytics? 

• Enhanced Lead Source Insight. Ruler Analytics significantly improves visibility into the origins of leads, enabling more precise marketing decisions related to media purchases and strategy alignment with business objectives [*].
  

• Seamless Integration and Responsive Support. Ruler simplifies attribution modeling with automated backend processes that require minimal human intervention. Its compatibility with major platforms like Google, Bing, and Hubspot, combined with highly responsive customer support, enhances its utility and user satisfaction [*].
  

• In-Depth Conversion Insights. The platform offers granular details about every form submission and phone call, including the source, duration, and conversion paths [*]. 

What Are Some Limitations of Ruler Analytics?

• Limited Attribution Modeling. The platform currently focuses on first and last-click attribution, which may not be enough for businesses needing detailed tracking through the entire user journey. Expanding capabilities to track comprehensive user journeys from initial contact to enquiry would enhance its effectiveness [*].
  

• Performance Issues. Users have noted occasional slow load times for the dashboard, which can impede efficiency and the user experience when accessing real-time data [*].
  

• Delay in Data Synchronization. There is a reported delay in syncing phone call data with CRM systems, which can affect timely data usage and decision-making [*]. 

Pricing

• Small business. £179 per month. 
• Medium business. £584 per month. 
• Large business. £999 per month. 
• Advanced. Custom. 

💡Who is Ruler Analytics a Good Fit for?

Ruler Analytics is particularly valuable for organizations that require closed-loop reporting to track leads through the entire sales cycle. Businesses that rely on offline interactions, such as phone calls or in-person meetings, will also benefit from Ruler’s ability to attribute these touchpoints to revenue. 

5. Full Circle Insights

Full Circle Insights is a B2B marketing attribution platform known for its deep integration with Salesforce, providing businesses with a unified view of how marketing and sales activities contribute to revenue. 

It focuses on bridging the gap between marketing and sales by aligning data from both departments, allowing businesses to track, measure, and optimize their entire revenue funnel. The platform’s closed-loop attribution capabilities give users a complete view of the customer journey, enabling precise measurement of marketing efforts from lead generation to deal closure. 

One of Full Circle Insights’ key differentiators is its focus on funnel metrics and attribution accuracy. The platform offers customizable attribution models that fit the unique needs of B2B organizations with long and complex sales cycles. 

Key Features

• Response Management. Analyzes responses to marketing campaigns, such as event registrations, downloads, or form submissions, and links them to specific leads and opportunities.
  

• Pipeline Influence. Evaluates how marketing activities contribute to pipeline creation and progression. This feature helps you measure the influence of marketing on the entire sales pipeline, offering insights into which campaigns drive the most pipeline value and how marketing efforts support sales.
  

• True MQL. Tracks MQL conversions and how they progress through the sales funnel. This feature provides visibility into the effectiveness of lead nurturing programs and helps marketing teams optimize strategies to convert MQLs into opportunities and sales.
  

• Revenue Waterfall Reports. Provides detailed insights into how leads flow through the marketing and sales funnel, from initial contact to closed revenue. It also highlights the stages where leads stall or drop off.
  

• Quota Management. Includes tools that allow marketing teams to set and track performance quotas, such as lead generation targets or pipeline contribution goals. 

Why Do Users Like Full Circle Insights? 

• Efficient Funnel Management and Real-Time Insights. Users appreciate FullCircle’s ability to manage demand generation funnels effectively and provide multi-touch attribution insights [*].
  

• Integrated Team Alignment and Impact Reporting. FullCircle acts as a critical link between sales, marketing, and operations, ensuring all team members are on the same page with multi-funnel setups and campaign alignments. In addition, its comprehensive reporting capabilities allow for visibility into the impact of various marketing strategies across the sales cycle, enhancing decision-making and team collaboration [*].
  

• Advanced Attribution Models. FullCircle offers advanced influence and attribution models that integrate directly with Salesforce, making it easy to adapt as company needs evolve [*]. 

What Are Some Limitations of Full Circle Insights?

• Support and Stability Issues. Users report delays in support responses and occasional stability issues, such as incompatible updates that disrupt system functionality. This can lead to significant operational disruptions and requires close monitoring of the system [*].
  

• Resource-Intensive Implementation. The implementation and ongoing management of FullCircle are noted to be extremely time-consuming, necessitating dedicated Salesforce admin resources, which can be a barrier for smaller teams or those with limited technical staffing [*].
  

• System Performance Concerns. FullCircle’s extensive integration with Salesforce components, particularly Campaign Members, can lead to system drag and errors, especially in environments with other heavy integrations like Marketo. This complexity requires additional training for users [*]. 

Pricing

No publicly disclosed. Request custom quote. 

💡Who is Full Circle Insights a Good Fit for?

Full Circle Insights is ideal for B2B companies that rely heavily on Salesforce and need a comprehensive platform to measure both marketing and sales performance. 

6. CaliberMind

CaliberMind specializes in unifying marketing, sales, and customer data to deliver advanced revenue attribution insights. 

Built for businesses with complex customer journeys and long sales cycles, CaliberMind goes beyond basic attribution models by providing multi-touch attribution across channels, coupled with deep analytics to track and improve marketing performance. 

It also features data orchestration capabilities, allowing businesses to synchronize and analyze data from disparate sources like CRM systems, marketing automation platforms, and third-party tools. 

In addition, the platform’s attribution models enable users to see precisely how different touchpoints influence deals, ensuring that marketing teams have actionable insights to optimize their strategies. 

Key Features

• Lead-to-Revenue Analysis. Evaluates leads from their initial touchpoint through to revenue generation, allowing you to understand the full customer lifecycle. 
  

• Advanced Segmentation. Provides powerful segmentation tools that allow you to categorize your audience based on a range of attributes, including behavior, demographics, and firmographics.
  

• Time-to-Close Analytics. Tracks the duration of the sales cycle, helping you understand how long it takes for leads to convert into revenue. Also identifies bottlenecks in the process, providing insights on how to accelerate the customer journey and improve sales velocity. 
  

• Data Enrichment. Offers automated tools to clean and enrich CRM and marketing automation data, removing duplicates, correcting errors, and filling in missing information. 
  

• Custom Attribution Models. Allows you to create custom attribution models tailored to your business needs. Whether it’s first-touch, last-touch, or weighted multi-touch models, this feature provides flexibility in how you attribute credit to marketing efforts.  

Why Do Users Like CalibreMind? 

• Customizable Marketing Attribution. Users appreciate CaliberMind’s flexibility in measuring marketing attribution, tailored to fit unique organizational needs [*].
  

• Powerful Data Modeling and Visualization. The platform’s data modeling capabilities are highly flexible, integrating seamlessly with various advertising, CRM, and marketing automation platforms. Users find the channel and subchannel mapping settings particularly beneficial, alongside the platform’s ability to distinguish between channels and campaigns effectively [*].
  

• Advanced Attribution Efforts and Support. CaliberMind has significantly improved users’ attribution efforts by centralizing data and allowing detailed configuration of attribution settings. The support from CaliberMind is particularly noted for its responsiveness and dedication to ensuring user satisfaction [*].  

What Are Some Limitations of CalibreMind?

• Data Export Limitations. Users face limitations in bulk data export, which can hinder the efficiency of data handling and analysis, particularly when dealing with large datasets [*].
  

• Complex Customization and Dashboard Issues. The extensive customization options, while beneficial, also contribute to a complex user interface that can be challenging to navigate. Users also report occasional issues with dashboard functionality, particularly when applying filters to complex custom models [*]. 
  

• Limitations in API Customization. There are constraints in API integration options, with users expressing a desire for more autonomy in setting parameters without needing to rely heavily on customer support. Additionally, the lack of automated alerts for significant events within the system is noted as a drawback [*]. 

Pricing

Not publicly disclosed. Request custom quote. 

💡Who is CalibreMind a Good Fit for?

CaliberMind is great for B2B companies that require advanced multi-touch attribution and data orchestration to track marketing’s impact on revenue.

7. Attribution

Attribution is a marketing attribution platform designed to provide B2B businesses with deep insights into multi-touch attribution across their marketing channels. 

Known for its ability to track customer journeys through various touchpoints, Attribution helps marketers understand how different marketing activities contribute to conversions and revenue. Its advanced attribution models enable businesses to attribute credit to each interaction in a customer’s journey, providing an accurate assessment of campaign effectiveness. 

Attribution also supports both rule-based and machine-learning attribution models, offering flexibility depending on the company’s specific needs. 

• Rule-based models allow marketers to assign credit manually based on predetermined rules, 
• while machine learning models automatically analyze patterns in customer journeys and assign credit accordingly. 

This dual approach gives businesses the power to choose how they track and optimize their campaigns, making Attribution a customizable solution for marketing teams. 

Key Features

• Marketing-to-Sales Handoff Insights. Tracks the handoff between marketing and sales, providing visibility into how well-qualified leads convert into sales opportunities.
  

• Revenue Attribution. Links marketing efforts to actual revenue generated, not just leads or conversions. 
  

• Granular Event Tracking. Provides detailed event tracking that captures every interaction a user has with your site, app, or marketing materials. 
  

• Cross-Channel Attribution. Consolidates data from various channels—such as paid ads, organic search, social media, email, and direct traffic—into a unified attribution model.
  
• Custom Attribution Models. Provides flexibility in building attribution models that fit your business goals. You can create customized attribution models to reflect your unique sales cycle, such as time decay, positional, or algorithmic models. 

Why Do Users Like Attribution? 

• Effective for E-commerce. For users with e-commerce setups using mainstream platforms, Attribution offers fast and easy setup with minimal technical knowledge required. The built-in integrations and responsive support team enhance the user experience significantly [*].
  

• User-Friendly Setup. Users appreciate the straightforward setup process and the platform’s ability to provide name-based attribution, attaching leads directly to specific pathways [*].
  
• Integration with Major Platforms. The platform integrates directly with major ad platforms, Segment, and Stripe, offering marketers detailed insights into organic traffic sources and revenue generation [*]. 

What Are Some Limitations of Attribution?

• Challenges with Custom Integrations. Users with less typical use cases face significant challenges due to the lack of robust documentation and built-in integrations. Custom setups often require extensive support through emails and calls, which can be a substantial hurdle [*].
  

• Dependency on Additional Tools. Users often need to use additional tools like Segment to fully leverage Attribution’s capabilities, which could complicate setup and integration for those not already using these tools [*].
  

• Performance Issues with Large Data Sets. The platform sometimes struggles with performance, particularly when handling large data sets or extensive date ranges, leading to slow load times or timeouts [*]. 

Pricing

Not publicly disclosed. Request custom quote. 

💡Who is Attribution a Good Fit for?

Attribution is a perfect fit for B2B companies that want to track the entire customer journey and measure the contribution of every marketing channel to conversions. It’s also ideal for businesses looking to implement multi-touch attribution models to gain a deeper understanding of how marketing activities influence revenue.

8. Looker

Looker operates as a business intelligence (BI) platform that empowers marketing teams to extract meaningful insights from their data. The platform has the ability to connect to various data sources, from CRM systems to marketing automation tools, and provide detailed visualizations of marketing performance. 

For example, Looker’s unique modeling layer allows users to create custom attribution models tailored to their business needs. 

Furthermore, Looker provides users with the flexibility to create detailed, actionable reports that go beyond standard attribution. Whether you need to track multi-touch attribution, measure ROI across channels, or optimize marketing spend, Looker provides the tools necessary to uncover deep insights. 

Key Features

• LookML (Looker Modeling Language). allows data analysts to define relationships and metrics in a way that is reusable and scalable. With LookML, you can create flexible data models that empower business users to generate reports and dashboards without needing SQL knowledge. 
  

• Prebuilt Analytical Blocks. provides prebuilt analytical blocks, which are modular pieces of code that can be reused across different reports and models. These blocks include functions for common use cases like calculating customer lifetime value (CLTV) or cohort analysis, allowing users to quickly build complex data models.
  

• Data Actions. Allows users to take immediate actions from within Looker. For example, if you identify a lead in a sales report, you can send an email or update a CRM record directly from the Looker interface.
  

• Real-Time Data Access. With Looker, users have access to real-time data directly from the database. This feature ensures that all reports, visualizations, and dashboards reflect the most current data, allowing teams to make informed decisions based on up-to-the-minute insights.
  

• Explores. These are ad-hoc analysis environments that allow users to dig into data and generate custom reports on the fly. This feature offers flexibility to business users who want to explore datasets without predefined filters or limitations. 

Why Do Users Like Looker? 

• Integration and Collaboration. Users appreciate Looker’s ability to easily connect with multiple data sources and its collaboration capabilities [*].
  

• User-Friendly Interface and Flexibility. Looker is praised for its user-friendly design and flexibility, accommodating a wide range of users from data scientists to business analysts. The drag-and-drop options and diverse visualization capabilities make it accessible for creating detailed reports and dashboards without needing complex formulas [*].
  

• Powerful Geospatial Analytics. Looker excels in providing a various visualization options, including advanced geospatial analytics, which are great for businesses that rely on location data [*]. 

What Are Some Limitations of Looker?

• Performance Issues with Large Data Sets. Looker can experience slowdowns when handling large datasets or executing complex queries, which impacts the user experience negatively, especially for those working with extensive data analysis [*]. 

• Limited Calculations and Cross-Filtering Issues. The platform has limitations in its calculation capabilities within the Explore environment, lacking some advanced functions found in other visualization tools. Additionally, cross-filtering functionalities are sometimes restrictive, requiring all elements to match across visualizations, which can complicate dashboard interactions [*].
  

• Data Loading and Accuracy Concerns. There are concerns about Looker’s performance in terms of loading times and data accuracy, particularly when dealing with large datasets [*].  

Pricing

Not publicly available. Request custom quote. 

💡Who is Looker a Good Fit for?

Looker is ideal for teams that require real-time data analysis and visualization tools to optimize marketing performance across multiple channels. 

9. Salesforce Marketing Cloud Intelligence

Salesforce Marketing Cloud Intelligence (formerly Datorama) is a marketing attribution and analytics platform that provides businesses with a unified view of all marketing data across multiple channels. 

As part of the Salesforce ecosystem, it seamlessly integrates with Salesforce CRM, enabling businesses to align their marketing activities with sales and customer data. 

This platform is particularly valuable for B2B organizations that need a single source of truth for marketing performance and want to ensure that every interaction in the customer journey is tracked and attributed correctly. 

Key Features

• API and Data Connectors. Includes a wide range of pre-built connectors to third-party platforms, including social media networks, advertising platforms, and data management platforms (DMPs).
  

• Dynamic Marketing Mix Modeling (MMM). Offers marketing mix modeling capabilities to help marketers evaluate the effectiveness of their entire marketing strategy. 
  

• Campaign Optimization Suggestions. Based on historical performance data, the platform provides automated suggestions on how to optimize marketing campaigns. This feature can suggest changes in budget allocation, targeting strategies, or content approaches to maximize ROI.
  

• Unified Marketing Data Hub. Provides a centralized platform where all marketing data from various sources (e.g., social media, paid ads, CRM, web analytics) is aggregated and unified. 
  

• AI-Powered Insights. Using Salesforce’s AI, known as Einstein, this feature provides automated insights and predictive analytics based on your marketing data. AI-powered insights help marketers identify trends, outliers, and performance opportunities. 

Why Do Users Like Salesforce Marketing Cloud Intelligence? 

• Seamless Integration and Customization. Users appreciate the seamless integration with other Salesforce products and the extensive customization options available, which allow for tailoring campaigns to meet specific customer needs [*].
  

• AI-Enhanced Marketing Automation. The platform’s use of AI and automation for marketing suggestions and the ability to integrate with websites for real-time insights are particularly impressive. Users note that these features have significantly streamlined their marketing and campaign management processes [*].
  

• Unified Analytics. Salesforce Marketing Cloud Intelligence tools are highly valued for their ability to consolidate important metrics and KPIs into a unified dashboard [*]. 

What Are Some Limitations of Salesforce Marketing Cloud Intelligence?

• Steep Learning Curve and Complex UI. New users often find the platform challenging to navigate due to its complex user interface and steep learning curve. The depth of the platform’s capabilities, while powerful, can be overwhelming without substantial training, which may deter rapid adoption and efficient use [*].
  

• High Costs and Resource Intensity. The cost of using Salesforce Marketing Cloud is a common concern, especially for smaller businesses or freelancers with limited budgets. Also, the platform’s expense, coupled with the need for continuous monitoring and dedicated personnel, can make it a costly investment [*]. 
  

• Performance Issues and System Bugs. Some users experience degraded system performance and frequent bugs that disrupt daily workflows. These technical issues, while not uncommon in complex software suites, can hinder the smooth operation of marketing activities [*].  

Pricing

• Starter. €3,000 per month.
• Growth. €10,000 per month. 
• Plus. Request a quote. 

💡Who is Salesforce Marketing Cloud Intelligence a Good Fit for?

Salesforce Marketing Cloud Intelligence is ideal for B2B companies that require a unified view of marketing data across multiple channels and need to align marketing efforts with sales performance. It’s also a perfect fit for businesses using Salesforce CRM, as the deep integration between marketing and sales data allows for more accurate attribution and reporting. 

10. HubSpot Marketing

HubSpot Marketing is a well-rounded platform designed to help B2B businesses streamline their marketing efforts with a strong focus on inbound marketing and lead nurturing. 

Known for its ease of use and comprehensive toolset, HubSpot Marketing provides powerful marketing analytics features that help businesses track and analyze how various marketing activities contribute to lead generation, customer acquisition, and revenue. 

Its built-in multi-touch attribution models give marketers a clear view of the customer journey, making it easier to identify which channels and campaigns drive the most conversions. 

HubSpot Marketing also offers pre-built reports and dashboards that provide quick access to performance metrics, helping marketers easily track the effectiveness of their campaigns. The platform also supports custom reporting for businesses that need more advanced attribution models, allowing users to tailor reports to their specific needs. 

Key Features

• Smart Content. Personalizes website content based on user behavior, demographics, or lifecycle stage. This dynamic content changes in real-time based on visitor data, providing tailored experiences.
  
• Lead Generation Forms. Features customizable lead capture forms that can be embedded on your website, landing pages, and blog posts.
  

• Email Marketing. Provides a drag-and-drop email builder that allows users to create personalized, professional-looking email campaigns without coding knowledge. The platform also offers A/B testing, segmentation, and personalization features to maximize the effectiveness of each email campaign. 

• Custom Workflows. Enable advanced automation of marketing and sales processes based on user actions, lead scores, or CRM data. This feature helps to automate repetitive tasks, freeing up time for teams while maintaining personalized engagement with prospects and customers.
  

• Blogging Platform. Includes a blogging platform that supports SEO optimization, social sharing, and lead capture. It offers a user-friendly editor for creating and publishing blog posts and integrates with the HubSpot ecosystem for tracking engagement and performance metrics. 

Why Do Users Like HubSpot Marketing? 

• Comprehensive Features. HubSpot Marketing Hub is praised for its user-friendly interface and comprehensive set of features, including journey automation, social media tools, and customizable templates [*]. 
  

• Effective CRM Integration. Small business owners value HubSpot for its effective CRM capabilities that integrate well with various advertising and communication channels [*].
  

• Interconnectivity and Customization. Users love the interconnected nature of HubSpot’s tools, which support a wide range of business activities from email marketing to deal tracking and invoicing. The platform's customization options and the robust landing page builder are particularly beneficial for users needing quick and effective promotional tools [*]. 

What Are Some Limitations of HubSpot Marketing?

• Limited Automation in Basic Plans. The automation features in the basic plans is limited, with more advanced workflows and email campaign capabilities locked behind higher-priced Pro tiers [*].
  

• Steep Pricing Tiers. The pricing structure is a common concern, with users feeling that HubSpot’s steep pricing tiers seem to discourage small businesses from accessing more advanced features. The lack of RTL features for marketing emails also forces some users to rely on other platforms like Mailchimp for specific needs [*].
  

• Data Management and Integration Challenges. HubSpot can become challenging with lead management and data integrity if not well-maintained. Users note that bad CRM data reflects poorly in HubSpot, and managing stages and statuses between HubSpot and other systems can be complex [*]. 

Pricing

• Free. $0/month
• Starter. $20/month per seat
• Professional. $890/month (3 seats included)
• Enterprise: $3,600/month (5 seats included). 

💡Who is HubSpot Marketing a Good Fit for?

HubSpot Marketing is ideal for small to mid-sized B2B companies looking for an all-in-one solution that covers everything from lead generation to marketing attribution. Its user-friendly interface and built-in CRM make it a great choice for businesses that want to automate their marketing efforts while also tracking and attributing marketing activities to revenue. 

11. Google Analytics 4

Google Analytics 4 (GA4) is the latest version of Google’s analytics platform, built to provide B2B marketers with enhanced attribution and cross-platform tracking capabilities. 

Unlike its predecessor (Universal Analytics), GA4 offers event-based tracking, which allows businesses to track user interactions across websites, mobile apps, and other platforms in a more granular way. 

GA4 is also designed to deliver more accurate attribution insights, making it easier to track which marketing activities are driving conversions and impacting revenue.

In addition, it offers automated insights and predictive metrics such as churn probability and potential revenue from active users, enabling businesses to make data-driven decisions in real-time. 

Key Features

• Event-Based Data Model. GA4 is built around an event-based data model, which tracks all user interactions (such as clicks, page views, form submissions, and video plays) as discrete events.
  

• Life Cycle Reports. GA4 offers Life Cycle Reports that focus on different stages of the customer journey, from acquisition to retention.
  

• Explorations (Advanced Analysis). Allows you to perform in-depth, custom analyses using a drag-and-drop interface. You can use different exploration techniques like funnel analysis, path analysis, and cohort analysis to uncover user behavior patterns and optimize user experience. 
  

• Custom Event Parameters. Allows you to define custom event parameters, giving you flexibility in how you track user interactions.
  

• Enhanced Measurement. Includes automatic tracking for common interactions like scroll tracking, outbound link clicks, video engagement, and file downloads without requiring custom event configuration. 

Why Do Users Like Google Analytics 4? 

• Integration and Advanced Data Management. With the introduction of GA4, Google Analytics has enhanced its data management capabilities. Users can now integrate the tool with other Google services like Google Search Console (GSC) or BigQuery, improving decision-making and reporting for website managers [*].
  

• Real-Time Tracking and Accessibility. The platform allows for real-time tracking of various metrics such as user engagement, sessions, and conversions. It’s also easy to integrate by simply adding a tracking code to the website, making it accessible even to those with basic technical knowledge [*].
  
• Enhanced Reporting with Exploration Tools. The new exploration tools in GA4 are particularly noted for their ability to help users understand website performance more comprehensively, allowing for more detailed and customizable reporting [*]. 

What Are Some Limitations of Google Analytics 4?

• Reduced Filtering Options and Complex Interface. Some users find the reduction in filtering options in GA4 annoying, especially when compared to the more flexible filtering previously available in UA. Additionally, the complexity of the interface in GA4 has made it less user-friendly than its predecessor [*].
  

• Data Accuracy Concerns and Limited Customer Support. There are concerns about data accuracy, particularly when Google Analytics uses sampled data for high-traffic sites or complex queries. Limited customer support can complicate these issues, leaving users frustrated when they encounter problems or inaccuracies [*].
  

• Feature Limitations and Learning Curve. The newer version of Google Analytics, GA4, presents a steep learning curve and has been described as more complex than the older UA. The feature limitations and the necessity to learn new functionalities have been challenging for long-time users accustomed to the previous interface [*]. 

Pricing

This is a free tool.

💡Who is Google Analytics 4 a Good Fit for?

Google Analytics 4 is best suited for B2B companies that need comprehensive, cross-platform tracking and advanced attribution models. Its event-based tracking and automated insights make it ideal for marketing teams that want to optimize campaigns in real-time and adapt to changing user behaviors. 

12. AppsFlyer

AppsFlyer is a mobile attribution and marketing analytics platform that specializes in helping B2B and B2C businesses track, measure, and optimize their mobile marketing campaigns. 

It provides deep insights into user acquisition, engagement, and retention across mobile apps and digital platforms. With its focus on mobile attribution, AppsFlyer enables businesses to understand which channels, campaigns, and user interactions drive the most value in terms of installs, in-app events, and lifetime customer value. 

The platform also offers multi-touch attribution capabilities, allowing  businesses to track every interaction a user has with their app or digital product across multiple channels. This helps marketers understand the full customer journey, from the first touchpoint to the final conversion. 

Additionally, AppsFlyer provides advanced fraud prevention tools, which help businesses protect their marketing investments by detecting and blocking fraudulent activities such as click fraud and install fraud. 

Key Features

• OneLink. This deep linking technology enables seamless user experiences by ensuring that users are directed to the right content, whether they are app users or website visitors. OneLink dynamically routes users to the correct platform, page, or app store based on their device and install status. 
  
  
• Protect360. This proprietary anti-fraud solution detects and prevents mobile ad fraud across multiple vectors, including click spamming, click injection, and install hijacking.
  

• Uninstall Tracking. Tracks app uninstalls and attributes them back to specific campaigns, channels, or touchpoints.
  

• Data Locker. Allows marketers to store raw, user-level data securely. This feature provides full access to unfiltered, event-level data for advanced analysis and insights using external business intelligence tools.
  

• Audience Sync for Retargeting. Automatically syncs user segments created in AppsFlyer with major ad networks (e.g., Facebook, Google). 

Why Do Users Like AppsFlyer? 

• Detailed Performance Tracking. AppsFlyer offers detailed insights into mobile app performance, tracking key metrics such as installs, user acquisition, retention, and revenue [*].
  

• Reliable Data Handling. Users commend AppsFlyer for its ability to handle data effectively, offering capabilities to track both organic and non-organic installs, and produce comprehensive reports [*].
  

• Comprehensive Integration. AppsFlyer is highly appreciated for its seamless integration with various platforms and its ability to centralize tracking of different ad sources [*]. 

What Are Some Limitations of AppsFlyer?

• Bugs and User Interface Issues. Some users encounter bugs that affect the functionality of the platform, particularly in the event management section where certain in-app events are not easily searchable or visible [*].
  

• Challenging Onboarding and Learning Curve. The onboarding process for AppsFlyer can be lengthy and complex, posing a steep learning curve for new users. Support quality can vary depending on the service tier, which may affect smaller businesses’ ability to receive timely assistance [*].
  

• Data Discrepancies and Fraud Detection Issues. Discrepancies in raw data reports and concerns over the accuracy of fraud detection—where legitimate activities may be incorrectly flagged—raise questions about data reliability and the fairness of the platform’s fraud management system [*]. 

Pricing

• Zero. Free.
• Growth. 7¢ /conversion. 
• Enterprise.  Custom pricing.

💡Who is AppsFlyer a Good Fit for?

AppsFlyer is ideal for B2B companies with a strong focus on mobile marketing and app-based customer engagement. It’s particularly well-suited for businesses that want detailed insights into their mobile attribution, from app installs to in-app purchases and retention. 

13. Adobe Analytics

Adobe Analytics is a comprehensive data analytics and attribution platform that provides businesses with deep insights into customer behavior across multiple channels. 

Tailored for B2B companies with complex marketing and sales operations, Adobe Analytics helps in tracking user interactions and delivering advanced, real-time data analysis. Its ability to gather data from websites, apps, email, social media, and other digital platforms allows businesses to understand the full scope of customer journeys and assess the performance of marketing campaigns at every stage. 

Businesses can also choose from a variety of attribution models, such as first-touch, last-touch, and linear attribution, or create custom models to fit their specific needs. This flexibility enables marketers to accurately attribute revenue to the different touchpoints that influence customer decisions, whether they occur online or offline. Adobe Analytics also integrates seamlessly with other tools in the Adobe Experience Cloud, providing a unified view of customer interactions across marketing, sales, and service channels. 

Key Features

• Segmentation IQ. Includes advanced segmentation capabilities that use machine learning to automatically identify key audience segments based on behavioral patterns, demographic data, and customer attributes. 
  

• Attribution IQ. This multi-touch attribution tool allows marketers to apply custom attribution models to measure the effectiveness of each channel and campaign throughout the customer journey.
  

• Flow Analysis. Provides a visual representation of how users navigate through a website or app, tracking their paths between pages or events.
  

• Cross-Device Analytics. Tracks users across multiple devices and channels, providing a unified view of customer interactions.
  

• AI-Driven Insights. Powered by Adobe Sensei, this feature automates data analysis to uncover trends, anomalies, and opportunities, helping teams take proactive actions and improve marketing performance. 

Why Do Users Like Adobe Analytics? 

• Flexibility in Data Handling and Visualization. Adobe Analytics is recognized for its powerful data analytics capabilities, offering extensive features for data insight generation in various forms. The customizable dashboard enhances user understanding and mapping of data according to specific requirements [*].
  

• Comprehensive Integration. Users appreciate the platform for its seamless integration of marketing, analytics, and content management tools, making it highly effective for customized marketing campaigns [*]. 
  

• Intuitive Interface. The platform offers a simple and attractive user interface that is manageable by non-tech teams, reducing dependency on IT experts [*]. 

What Are Some Limitations of Adobe Analytics?

• Limited Feedback Mechanism and Storage Issues. Users express dissatisfaction with the lack of platforms for providing feedback on Adobe Analytics’ functionality, which could help in optimizing the product according to user reviews. Additionally, inadequate storage options restrict the ability to work on long-term projects [*].
  

• High Pricing Structure. The cost of Adobe Analytics is often viewed as relatively high, which can be a barrier, particularly for smaller companies or those with limited budgets [*].
  

• Integration Delays and Resource Intensity. Some users report delays when connecting Adobe Analytics with other websites, and the platform is described as resource-intensive, requiring significant server capacity and infrastructure investment [*]. 

Pricing

• Select. Request pricing. 
• Prime. Request pricing. 
• Ultimate. Request pricing. 

💡Who is Adobe Analytics a Good Fit for?

Adobe Analytics is ideal for large B2B enterprises with complex, multi-channel marketing strategies that require advanced data analysis and attribution capabilities. 

14. RevSure.ai

RevSure is a predictive sales pipeline analytics platform that helps B2B businesses optimize their revenue generation by providing deeper insights into pipeline health, lead conversion, and revenue attribution. 

It also features revenue attribution capabilities that enables businesses to link specific marketing efforts to closed deals, ensuring a clear understanding of marketing ROI. 

RevSure also integrates with major CRM and marketing automation platforms, allowing businesses to synchronize data across marketing and sales teams. This seamless integration ensures that all relevant data points are captured and analyzed, creating a unified view of pipeline health and marketing effectiveness. 

Key Features

• AI-Powered Deal Acceleration. Analyzes historical sales data and provides actionable recommendations to move deals through the pipeline more quickly, helping teams close deals faster.
  

• Deal Momentum Tracking. Helps teams identify deals that are progressing too slowly or those that have suddenly stalled, allowing for quick interventions to maintain momentum.
  

• Customizable Lead Scoring Models. Allows teams to customize lead scoring models based on specific business rules, industry standards, and sales cycles. 
  

• Pipeline Readiness Scoring. Provides predictive insights into the health of your sales pipeline by scoring leads and opportunities based on their likelihood to convert. It does this by  analyzing historical data and behavior patterns to give accurate readiness scores.
  

• Lead-to-Revenue Forecasting. Offers predictive revenue forecasting by analyzing lead generation data and sales funnel progression. This feature helps teams anticipate revenue outcomes based on the current state of the pipeline, improving financial planning and resource allocation. 

Why Do Users Like RevSure.ai? 

• Comprehensive Data Analysis. RevSure offers comprehensive data analysis tools that allow finance, sales, and marketing teams to access detailed insights for business acceleration. The platform is highly customizable, accommodating specific business needs through personalized dashboards and reporting, which saves time and enhances data interpretation [*].
  

• Advanced Forecasting and Real-Time Insights. RevSure’s AI-based forecasted pipeline and real-time insights are highly valued, especially for guiding go-to-market strategies and analyzing marketing campaign efficiency [*].
  

• Exceptional Support. Users frequently commend RevSure for its exceptional customer support and collaborative approach [*]. 

What Are Some Limitations of RevSure.ai?

• Challenging Learning Curve and Data Dependency. New users might experience a difficult learning curve, as noted by some reviewers. The platform’s advanced features require a good understanding of data analytics, and the accuracy of insights heavily depends on the cleanliness and organization of the data in the user’s CRM [*].
  

• Inaccuracies in AI Projections. While RevSure’s AI capabilities are generally seen as a strong point, some users are skeptical about the accuracy of its projections and the necessity of having technical teams involved in custom view creations. This can make achieving autonomy challenging for non-technical users [*]. 
  

• Integration Challenges. Some integrations with RevSure are still in progress, and the calibration of pipeline generation and booking projections is ongoing. Users note that these features are interesting but not yet reliable enough to drive business decisions independently [*]. 

Pricing

• ‍Early adopter. $2000 per month. 

💡Who is RevSure.ai a Good Fit for?

RevSure.ai is best suited for companies looking to forecast revenue growth and identify gaps in their pipeline. It’s also ideal for B2B companies with long and complex sales cycles that need detailed pipeline attribution and predictive revenue analytics. 

HockeyStack — The #1 Bizible Alternative

If you’ve found yourself dealing with a complex interface, limited flexibility in customizing reports, or data that doesn’t give you the full picture of your customer journey, you’re not alone. 

Bizible’s learning curve and rigid workflows can make it harder to extract the insights you need to move your marketing strategy forward. 

This is where HockeyStack comes in — offering seamless connectivity with your existing tech stack, allowing you to access the full spectrum of your data with ease.

With HockeyStack, you get; 

• Customizable dashboards that let you shape your reports the way you want
• Real-time data that gives you instant access to crucial metrics without waiting
• Comprehensive attribution models that track your campaigns across every channel
• Seamless integrations with your favorite tools, ensuring smooth workflows
• Simplified setup and implementation, so you can start seeing value immediately
• Unmatched support, ensuring you’re never left stuck

Whether you’re tracking multi-channel campaigns or analyzing your customer journey in detail, HockeyStack makes it simple and intuitive. 

Ready to make the switch? Try HockeyStack now with a free demo.

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