What does smart farming mean in email marketing?

Summary

The term 'smart farming' in email marketing is understood in two primary ways. The prevailing view, especially within marketing and platform documentation, emphasizes data-driven strategies for personalization, automation, and optimization. This involves techniques such as list segmentation, A/B testing, lead scoring, CRM integration, and real-time behavioral triggers to improve engagement and ROI. However, a contrasting perspective, particularly from the email deliverability community and some marketers, expresses skepticism, associating 'smart farming' with potentially unethical practices like using non-opt-in data or simply masking traditional list purchasing. The term's meaning can thus vary significantly depending on the context and audience.

Key findings

  • Data-Driven Personalization: The central theme is the utilization of data analytics to personalize email content for increased relevance and engagement.
  • Automation and Optimization: Automation through behavioral triggers and continuous optimization via A/B testing are core components.
  • Marketing vs. Deliverability Disconnect: The deliverability community doesn't widely recognize 'smart farming' and may associate it with problematic list practices.
  • Ethical Concerns: Skepticism exists regarding the potential use of non-opt-in data, raising ethical questions.
  • Improved Engagement and ROI: The goal of smart farming is to improve email engagement metrics, increase lead nurturing effectiveness, and boost overall return on investment.

Key considerations

  • Ethical Data Practices: Prioritize obtaining explicit opt-in consent and adhere to data privacy regulations (GDPR, CCPA).
  • Transparency with Subscribers: Clearly communicate data usage practices to subscribers to build trust.
  • Contextual Awareness: Be mindful of the audience and clarify the meaning of 'smart farming' to avoid misinterpretations, especially when discussing deliverability.
  • Focus on Legitimate List Building: Avoid practices that resemble list purchasing or scraping; concentrate on building a permission-based email list.
  • Data Accuracy and Integration: Ensure the accuracy and seamless integration of data across platforms (CRM, analytics) for effective personalization.

What email marketers say
12Marketer opinions

The term 'smart farming' in email marketing is interpreted in various ways. Some see it as leveraging data and automation for personalized and targeted campaigns to improve engagement and conversions. This involves tactics like list segmentation, lead scoring, and dynamic content. Others view 'smart farming' skeptically, associating it with potentially non-opt-in data collection practices. There is no clear consensus on whether it is considered an ethical or technical practice.

Key opinions

  • Data-Driven Personalization: A core theme is using data analytics and automation to personalize email content, making it more relevant and engaging for recipients.
  • Improved Engagement and ROI: Many definitions highlight the potential of 'smart farming' to boost open rates, reduce unsubscribes, and ultimately increase the return on investment for email marketing efforts.
  • Ethical Concerns: Some experts are wary of the term, suspecting it may involve acquiring or using email addresses without explicit opt-in consent.
  • List management: There is a perspective of intelligent list management and segmentation practices.

Key considerations

  • Data Privacy: Ensure all data collection and usage practices are compliant with privacy regulations (e.g., GDPR, CCPA) and ethical guidelines.
  • Opt-in Consent: Prioritize obtaining explicit opt-in consent from recipients before sending any marketing emails.
  • Transparency: Be transparent with subscribers about how their data is being used to personalize their email experience.
  • Term Ambiguity: Be aware that the term may be interpreted differently. Some expert areas do not consider this a common term.
Marketer view

Email marketer from HubSpot Blog explains that 'smart farming' involves segmenting email lists based on specific criteria and tailoring content to match each segment's interests and needs, which increases open rates and reduces unsubscribe rates.

November 2023 - HubSpot Blog
Marketer view

Email marketer from Reddit user EmailGuru mentions 'smart farming' as a term used to describe the practice of using personalized email sequences and dynamic content to re-engage cold leads.

June 2022 - Reddit
Marketer view

Marketer from Email Geeks believes 'smart farming' is similar to purchasing a list of public information for an area or criteria, and that it could make sense in a bulk postal mail to limit costs

June 2024 - Email Geeks
Marketer view

Email marketer from Neil Patel's Blog shares that 'smart farming' in email marketing is about using data-driven insights to target and nurture leads more effectively, focusing on relevance and personalization to improve engagement and conversion rates.

February 2022 - Neil Patel's Blog
Marketer view

Marketer from Email Geeks shares their opinion that 'smart farming' sounds like trying to dress up 'not built by opt-in', and even if the specific application is fully opt-in, it doesn't *sound* opt-in.

November 2023 - Email Geeks
Marketer view

Email marketer from Campaign Monitor explains 'smart farming' emphasizes personalization by using customer data to tailor email content to individual subscribers' needs and preferences, which significantly boosts engagement and conversion rates.

February 2022 - Campaign Monitor
Marketer view

Email marketer from Quora user MarketingPro mentions 'smart farming' involves the strategic use of lead scoring and automated workflows to identify and target the most promising prospects with tailored email campaigns.

January 2025 - Quora
Marketer view

Email marketer from Mailchimp Resources describes 'smart farming' as a strategic approach where marketers use automation and customer data to send targeted emails at the right time, improving the overall customer journey and maximizing ROI.

September 2021 - Mailchimp Resources
Marketer view

Email marketer from ActiveCampaign responds by saying that 'smart farming' is using automation to nurture leads with targeted and personalized email sequences based on behavior, preferences, and lifecycle stage.

October 2021 - ActiveCampaign
Marketer view

Marketer from Email Geeks explains that some descriptions of 'smart farming' suggest using non-opt-in data and AI to make predictions.

January 2023 - Email Geeks
Marketer view

Marketer from Email Geeks suggests that 'smart farming' sounds like marketing speak for collecting emails without an actual opt-in, regardless of the method.

September 2023 - Email Geeks
Marketer view

Email marketer from LinkedIn user EmailExpert responds by saying 'smart farming' refers to using data analytics to create targeted and personalized email campaigns that effectively nurture leads and drive conversions.

May 2024 - LinkedIn

What the experts say
2Expert opinions

Experts in the email deliverability and anti-spam community have varying perspectives on 'smart farming'. One source notes that the term is not commonly used within these circles, suggesting it may be a relatively new marketing term or specific to certain industry segments. However, another source suggests it can be interpreted as intelligent list management and segmentation practices, ultimately meaning the use of data to send more relevant and targeted emails.

Key opinions

  • Term Uncommon in Deliverability: 'Smart farming' is not a standard term within the email deliverability or anti-spam communities.
  • Potential for Interpretation: The term can be interpreted as intelligent list management and segmentation.
  • Data-Driven Relevance: At its core, it implies using data to make emails more relevant and targeted.

Key considerations

  • Industry Specificity: Be aware that the term may be industry-specific or a newer marketing concept.
  • Focus on Relevance: If using the term, emphasize the data-driven aspect of delivering relevant content to targeted segments.
  • Context is Key: When discussing 'smart farming,' provide context and clarify its meaning to avoid confusion, especially with technical audiences.
Expert view

Expert from Spam Resource explains that 'smart farming' isn't a commonly used term within the email deliverability or anti-spam community. Therefore, it might be a newer marketing term or specific to certain industry segments, rather than a recognized technical practice.

May 2022 - Spam Resource
Expert view

Expert from Word to the Wise shares that 'smart farming', while not a standard term in deliverability circles, can be interpreted as intelligent list management and segmentation practices. It means using data to send more relevant and targeted emails.

October 2021 - Word to the Wise

What the documentation says
5Technical articles

Documentation from various marketing platforms defines 'smart farming' in email marketing as a data-driven approach to refine strategies, optimize campaigns, and personalize messaging. It involves using advanced analytics, CRM data, behavioral data, and real-time triggers to identify high-potential leads, tailor content to their interests, automate campaigns, and improve overall engagement and deliverability through techniques such as A/B testing, list segmentation, and dynamic content.

Key findings

  • Data-Driven Optimization: 'Smart farming' relies heavily on data analytics and behavioral insights to optimize email strategies.
  • Personalized Messaging: A key component is tailoring email content to individual user interests and behaviors.
  • Automation and Triggers: Automation and real-time triggers play a significant role in delivering timely and relevant messages.
  • Enhanced Engagement: The goal is to improve email engagement, deliverability, and overall campaign performance.
  • Holistic Customer View: Leveraging CRM and related data provides a comprehensive understanding of customer interactions.

Key considerations

  • Data Accuracy: Ensure the accuracy and reliability of the data used for segmentation and personalization.
  • Platform Integration: Consider the integration capabilities of your email marketing platform with CRM and analytics tools.
  • A/B Testing: Implement A/B testing to continually optimize email elements and identify the most effective approaches.
  • Behavioral Triggers: Define clear and effective behavioral triggers to automate email campaigns based on user actions.
  • Segmentation Strategy: Develop a robust list segmentation strategy to target the right audience with relevant content.
Technical article

Documentation from Litmus explains that 'smart farming' includes strategies like list segmentation, A/B testing, and the use of dynamic content to improve email engagement and deliverability, ensuring messages reach the right audience at the right time.

June 2023 - Litmus
Technical article

Documentation from Iterable responds by saying that 'smart farming' involves leveraging real-time data and behavioral triggers to automate email campaigns, ensuring messages are timely and relevant to each user's actions.

February 2025 - Iterable
Technical article

Documentation from Microsoft Dynamics 365 Documentation shares that 'smart farming' uses data from CRM to inform email marketing strategies, providing a holistic view of customer interactions and enabling highly personalized and relevant messaging.

July 2024 - Microsoft Dynamics 365 Documentation
Technical article

Documentation from SendGrid explains that 'smart farming' relates to employing advanced analytics to refine email strategies, A/B testing different elements to identify the most effective approaches, and continuously optimizing campaigns based on performance metrics.

January 2024 - SendGrid
Technical article

Documentation from Oracle Marketing Cloud Help Center shares that 'smart farming' leverages behavioral data and predictive analytics to identify and nurture high-potential leads, tailoring email content to address their specific interests and move them through the sales funnel.

January 2022 - Oracle Marketing Cloud Help Center