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Spam bots and fake leads causing data issues

How spam bots submit fake leads and why Madlitics does not track them
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In the realm of digital marketing, accurate lead attribution is crucial for assessing campaign effectiveness and making informed decisions. However, an increasing challenge arises when Madlitics users encounter leads with incomplete "Channel" and "Segment" fields. This often stems from spam bots—automated programs that submit forms without genuine human interaction.

The issue: Incomplete channel and segment data
Madlitics is designed to capture detailed information about each lead, including the marketing channel and specific segments that led them to your site. When these fields are blank or incomplete, it raises concerns about data accuracy and lead legitimacy.


Identifying legitimate leads vs. spam submissions

To determine whether a lead is genuine or a result of spam, consider the following:

  • Lead Content: Legitimate leads typically provide coherent and relevant information, while spam submissions often contain nonsensical or promotional content.
  • Contact Information: Authentic leads usually include valid contact details; spam entries may use fake or suspicious information.
  • Submission Patterns: A sudden surge in form submissions without a corresponding increase in site traffic can indicate bot activity.


Understanding spam bots

Spam bots are automated scripts designed to crawl the internet in search of forms to submit. Upon finding a form, they fill it with pre-generated information, often for malicious purposes such as spreading advertisements or phishing links. Unlike human users, these bots do not operate through standard web browsers, meaning they bypass the typical processes that Madlitics relies on to track and store data via cookies. Consequently, when a spam bot submits a form, Madlitics cannot capture the usual channel and segment information, resulting in blank fields.


Mitigation strategies
Spam form submissions can interfere with accurate attribution — these best practices help ensure clean data, so you can trust your marketing insights.

  • Assess Lead Legitimacy: Review the content and patterns of your form submissions to distinguish between genuine leads and spam.
  • Implement Anti-Spam Measures: Utilize tools such as CAPTCHAs, honeypot fields, or device fingerprinting to deter bots from submitting forms. CAPTCHAs require users to complete a task that is easy for humans but challenging for bots, while honeypot fields are hidden fields that, when filled out, indicate bot activity. Device fingerprinting analyzes various device attributes to identify and block bots.
  • Contact Madlitics Support: If you encounter legitimate leads with incomplete data, reach out to us at support@madlitics.com. Our team is ready to assist in diagnosing and resolving any issues affecting data capture.
Madlitics multi-channel attribution visualization, showing marketing platforms like TikTok, Instagram, Google, and Facebook. The graphic highlights how different sources contribute to high-performing marketing channels.
Screenshot of a form builder interface with a highlighted 'Hidden Input' field. Accompanied by text explaining how to install and set up Madlitics by adding hidden fields to capture marketing attribution data.
CRM interface showing a detailed view of captured attribution data, including marketing channels, segments, and landing pages. A business profile of a lead is displayed, highlighting how Madlitics enriches lead data for sales and marketing teams.
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Stacked bar chart showing lead generation by marketing channel over time, comparing sources like Paid Search, Paid Social, Organic Search, Direct, and Email. Helps visualize which channels drive the most traffic.
Stacked bar chart illustrating lead volume across different marketing campaigns, including Black Friday, Retargeted, Spring Promo, Referral, and SEO. Highlights trends in campaign effectiveness.
Line chart displaying lead-to-customer conversion rates by channel, comparing Google Ads, Facebook Ads, LinkedIn Ads, Organic Search, and Email. Shows how different sources drive qualified leads over time.
Line chart showing revenue performance by marketing campaign, comparing Google Ads, Facebook Ads, and LinkedIn Ads. Helps identify top-performing and underperforming campaigns.

Understanding the role of spam bots in form submissions is essential for maintaining the integrity of your lead data. By implementing appropriate anti-spam measures, you can ensure that your lead attribution remains accurate and reliable.

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