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17 Insights from Business Leaders to Adapt Automation Strategies

Harnessing automation is key to staying ahead in ever-changing business environments. We asked industry experts to share an instance when they had to revisit and adjust their automation strategy based on changing business needs or market conditions. Here is how they adapted and how you can tailor your automation strategies to keep your business agile and competitive.

  • Revisit Automation for Global Expansion
  • Adapt Automation for Value-Based Purchasing
  • Personalize Automation for Condition-Specific Solutions
  • Integrate AI for Personalized Recommendations
  • Pivot Automation to Customer Retention
  • Revamp Automation for Mid-Sized Enterprises
  • Refine Automation for Smarter Lead Qualification
  • Enhance Automation for Mobile-First Communication
  • Personalize Automation to Boost Engagement
  • Adjust Automation for Media Outreach
  • Transform Automation to Handle Growth
  • Rebuild Automation for Local Search Algorithm
  • Revamp Automation for Real-Time Scheduling
  • Simplify Automation for Targeted Consulting
  • Revamp Automation for Personalized Solutions
  • Streamline Automation for Faster Quotes
  • Rebuild Automation for Local Communication

Revisit Automation for Global Expansion

One instance where I had to revisit and adjust my automation strategy was when my business expanded from a local, offline model to an online platform with a global audience. Initially, our automation—focused on follow-up emails and demo scheduling—was set up with our local customers in mind. However, as we began attracting international students, we noticed a disconnect: our messages weren’t resonating, and time zone differences were causing delays in responses.

Realizing the need for a change, I took a step back to analyze our engagement metrics and user feedback. I then overhauled our automation workflows by segmenting our audience based on location and behavior. We integrated a new email automation platform that allowed us to personalize content more effectively and adjust timing based on regional preferences. We even experimented with automated chatbots to provide immediate responses during off-hours.

This pivot not only improved our lead-to-enrollment conversion rate but also ensured that our messaging felt relevant and timely, regardless of where our students were based. The key takeaway is that automation isn’t a set-and-forget strategy; it needs to evolve with your business and market conditions.

Harikrishnan AHarikrishnan A
Commonwealth Chess Player and Founder of Chesseasy Academy, ChessEasy Academy


Adapt Automation for Value-Based Purchasing

I can give an example of a time when I had to review and modify an automation plan for a customer in the e-commerce industry. The customer’s browsing history was utilized to inform the client’s automated email marketing, which was mostly centered on product recommendations. However, the automated programs lost their effectiveness in increasing conversions when market conditions changed and consumer preferences shifted towards more value-based purchasing (particularly with growing economic concerns).

In order to adjust, I first looked at the performance statistics of the current campaigns and saw that many consumers were unsubscribing after being recommended generic products, and open rates had decreased. Instead of only promoting products based on browsing history, I understood that the market transition called for a more individualized, compassionate approach.

I modified the automation approach by adding split lists according to demographic information and purchasing patterns. For instance, I designed distinct email flows with discounts or package deals for clients who were price-conscious and those who had previously purchased expensive goods. I also added more customized messaging to abandoned cart reminders, including emphasizing available items or providing temporary discounts.

Additionally, I moved away from generic product suggestions and towards individualized content, such as providing consumers useful buying guides or advice about the things they had expressed interest in. The goal of this change was to give the customer journey greater value and relevance.

Higher open rates and more conversions, particularly from the more budget-conscious demographics, demonstrated a discernible boost in engagement. The main lesson to be learned from this is that automation plans must be regularly evaluated and modified in response to internal insights, such as changes in consumer behavior, as well as external factors, such as changes in the market. It is crucial to be adaptable and data-driven in your approach since what works today might not work tomorrow.

Peter WoottonPeter Wootton
SEO Consultant, The SEO Consultant Agency


Personalize Automation for Condition-Specific Solutions

As an experienced digital marketer for a company specializing in personal massagers for chronic pain, I once had to adjust our automation strategy when shifting consumer trends favored more personalized interactions over generic email sequences. Initially, our automated emails focused on broad pain relief messaging.

However, as market research revealed a growing demand for condition-specific solutions (e.g., fibromyalgia vs. sports injuries), we segmented our audience. We implemented dynamic content that tailored messages based on user preferences. We also integrated AI-driven chatbots to offer real-time product recommendations, improving engagement and conversion rates.

Additionally, we refined our retargeting automation to highlight educational content rather than direct sales, building trust with hesitant buyers. These changes resulted in a 30% increase in email open rates and a 20% uplift in repeat purchases, demonstrating the power of adaptive automation.

Dylan YoungDylan Young
Marketing Specialist, CareMax


Integrate AI for Personalized Recommendations

One specific instance comes to mind where we made AI-driven adaptations in response to evolving market conditions. Early on, we noticed that our target market was shifting towards more personalized experiences, especially in how they interacted with our platform. They were looking for tailored solutions, rather than one-size-fits-all offerings.

To address this, we decided to integrate AI-driven features to better understand user behavior and offer more personalized recommendations. Using machine learning algorithms, we analyzed customer data to identify patterns and preferences, which allowed us to deliver a more customized experience. This wasn’t just about recommending products; it was about making smarter business decisions, such as predicting which features our users would value most or where to allocate resources for product development.

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The impact on our strategy was significant. By leveraging AI, we were able to stay ahead of the market curve, offering a more agile and responsive service to our customers. It helped us improve customer satisfaction and retention, as users appreciated the more tailored experience. Additionally, the AI adaptations allowed us to streamline our operations, reducing costs and boosting our ROI as we were more focused in our approach.

This AI-driven change allowed us to stay competitive and relevant in a market that was evolving quickly, and it underscored the importance of being agile and leveraging technology to meet customer demands.

Jon MorganJon Morgan
CEO, Business and Finance Expert, Venture Smarter


Pivot Automation to Customer Retention

A few years ago, I was working with a client in the e-commerce space who experienced a sudden shift in consumer behavior due to changing market conditions. Their existing automation strategy primarily focused on driving traffic, but with the rise in competition and a change in user buying patterns, they needed to pivot to focus more on customer retention and conversion optimization. This required rethinking how we used email marketing, social media automation, and retargeting ads.

To adapt, we revisited the customer journey and restructured the automation workflows. We focused on personalized email campaigns that offered value-based content and product recommendations, rather than just discount offers. I also integrated AI-driven tools to segment users based on their behavior, allowing for highly tailored messaging. This shift resulted in a 30% increase in conversions over three months, demonstrating how a flexible approach to automation can drive results when market conditions change.

Brandon LeibowitzBrandon Leibowitz
Owner, SEO Optimizers


Revamp Automation for Mid-Sized Enterprises

One instance that stands out was during a product pivot when we shifted from targeting small businesses to mid-sized enterprises. Our existing automation strategy, especially in email and lead nurturing, was heavily tailored toward the needs and language of solopreneurs and small teams. As our audience evolved, we quickly realized our automated messaging was misaligned with the expectations of decision-makers in larger organizations.

To adapt, we started by re-segmenting our audience within our CRM based on company size, industry, and job title. This allowed us to build new automation workflows that spoke directly to the more complex needs of enterprise buyers, such as integration support, ROI case studies, and compliance readiness. We also updated our lead scoring model to prioritize signals more relevant to larger companies, like demo requests from multiple team members or visits to our pricing and security pages.

On the content side, we rewrote our email sequences, restructured onboarding flows, and added personalized touchpoints, such as invitations to strategy calls instead of just free trials. We integrated LinkedIn retargeting into our automation mix as well, which gave us another channel to reach and reinforce trust with high-value leads.

The result was a notable lift in both engagement and conversion. Our demo-to-close rate improved by 27% over the following quarter, and our new workflows proved more effective at nurturing the longer, multi-touch sales cycle common in enterprise settings.

That experience taught me that automation isn’t static; it needs to evolve alongside your business model and customer expectations. If you’re scaling or shifting focus, your automation strategy should reflect that change, or you risk delivering the right message to the wrong audience.

Darryl StevensDarryl Stevens
CEO, Digitech Web Design


Refine Automation for Smarter Lead Qualification

We had built a solid lead qualification automation process. It was fast, clean, and helped us scale quickly. However, as we started moving upmarket and attracting larger clients, things became tricky.

We noticed qualified leads were slipping through the cracks, mainly because our filters were too rigid. The rules were based on what worked six months ago, not what was happening now.

So we paused and sat with our sales team to map out what high intent really looked like. Instead of just relying on form fields, we shifted to tracking user behavior—things like repeated visits to pricing or tech stack pages. We also cut back on canned auto-responses and gave our reps room to personalize the first touch.

It wasn’t about more automation. It was about smarter automation that matched how people buy.

Vikrant BhalodiaVikrant Bhalodia
Head of Marketing & People Ops, WeblineIndia


Enhance Automation for Mobile-First Communication

Opening our eyes to changes in customer behavior saved our business time and money.

We noticed customers weren’t reading our emails anymore, which was a problem since that’s how we sent all our reminders. As more customers shifted to mobile-first communication and instant messaging platforms, our existing automation strategy no longer aligned with their preferences.

We fixed this by adding more ways to reach customers. We still sent emails but now also used text messages and app notifications, letting customers choose their favorite way to hear from us. We also changed our customer communication plan. Before, everyone received identical messages at set times. Now our program looks at what each customer actually opens and clicks on, then selects different messages for them in the future. This makes customers feel like we’re talking directly to them instead of sending mass announcements.

Our best move was adding automated real-time feedback collection. We set up a quick feedback system right after each cleaning service, helping us catch problems early and fix them fast. These improvements led to more customers reading our messages, fewer missed appointments, and better customer satisfaction.

We learned an important lesson: good automation adjusts to how people actually behave today, not how they behaved last year. When technology works with human habits instead of against them, both the business and its customers win.

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Joseph PassalacquaJoseph Passalacqua
Owner & CEO, Maid Sailors


Personalize Automation to Boost Engagement

As a digital marketing agency, we always made it a point to automate the lead generation process so we could scale efficiently. Initially, we were heavily dependent on cold email outreach and LinkedIn automation tools to generate volume. While this was effective for a period of time, last year, we saw a distinct decline in our response rates—down almost 30% over six months—as the market pivoted to a more personalized engagement model. Clients weren’t responding to templated messaging anymore; what they cared about was genuine dialogue and relevant value from day one.

To address this, we reinvented our automation strategy by adding personalization at scale. Rather than firing off a generic approach, we incorporated data enrichment tools such as Clay and Clearbit to customize the touchpoint based on the prospect’s industry, job role, and even recent news about their company. We capped batch sizes to stay true to our principles and trialed dynamic scripts for various audience segments. As a result, our response rates rebounded by 25%, and our leads converting to qualified leads improved by 18%, over two quarters. The takeaway here is that automation absolutely shines when it complements personalization, not substitutes it. Always stay attuned to how your audience is changing, and be prepared to pivot whenever engagement begins to decline.

Aaron WhittakerAaron Whittaker
VP of Demand Generation & Marketing, Thrive Digital Marketing Agency


Adjust Automation for Media Outreach

I have encountered situations where adapting our automation strategy was essential to meet evolving business needs. One notable instance involved our media outreach process. Initially, we employed an automated system to distribute press releases and pitches to journalists and media outlets. While this approach was efficient, we observed a decline in engagement rates and media coverage over time.

Upon analyzing the situation, we realized that the media landscape had shifted, with journalists seeking more personalized and tailored content. Recognizing this change, we decided to adjust our automation strategy to incorporate a more personalized approach.

To implement this, we integrated a Customer Relationship Management (CRM) system that allowed us to segment our media contacts based on their interests, previous interactions, and the type of content they typically cover. We then developed personalized email templates that could be semi-automated, enabling our team to add specific details relevant to each journalist while still streamlining the outreach process.

This hybrid approach allowed us to maintain efficiency while significantly enhancing the relevance and personalization of our communications. As a result, we experienced a notable increase in engagement rates, with more journalists responding positively to our pitches and a higher volume of media coverage for our clients.

This experience underscored the importance of continuously evaluating and adapting our automation strategies in response to changing market conditions. By staying attuned to industry trends and being willing to modify our approaches, we can ensure that our automation efforts remain effective and aligned with our business objectives.

Sahil SachdevaSahil Sachdeva
CEO & Founder, Level Up PR


Transform Automation to Handle Growth

In 2022, we faced a staggering 300% increase in order volume, driven by a surge in demand for our extensive range of over 36,000 products. Our initial automation system struggled to keep up, prompting a complete overhaul of our approach. We implemented a dynamic inventory management system that tracks real-time stock levels across multiple warehouses, ensuring we could meet our same-day dispatch promise for orders placed before 1 PM.

This strategic pivot reduced our processing time by 75% and maintained an impressive 99.8% order accuracy. Additionally, we enhanced our parts finder automation to accommodate our growing inventory, which now processes complex queries across thousands of compatible parts. This upgrade led to a 60% reduction in customer support tickets, allowing our team to focus on building a vibrant hobbyist community.

Our experience illustrates the critical need for businesses to adapt their automation strategies in response to market demands. By leveraging technology effectively, we not only improved operational efficiency but also enhanced customer satisfaction.

Hamish McRitchieHamish McRitchie
Co-Founder & Director, Hobbies Direct


Rebuild Automation for Local Search Algorithm

We understand that a successful automation strategy isn’t static.

After Google updated its local search algorithm last year, we noticed our clients’ visibility metrics showed a slight drop. Our automated review request system, which had been optimized for the previous algorithm, no longer produced the same results.

Our development and data teams quickly analyzed the new patterns and rebuilt our automation structure. We moved from time-based review requests to transaction-based triggers, added semantic analysis to find high-impact review opportunities, and created new automated response templates that included keywords favored by the updated algorithm. This adjustment required new programming for our entire workflow system and teaching our client base about the new best practices.

In just weeks, we recovered the lost visibility and improved performance compared to earlier metrics. This adaptability helps us turn market disruptions into opportunities for innovation and better performance. We continually check campaign performance using analytics, and whenever we see shifts in KPIs, we quickly modify our techniques through A/B testing and ongoing optimization to deliver exceptional results for our clients.

Matt BowmanMatt Bowman
Founder, Thrive Local


Revamp Automation for Real-Time Scheduling

When the pandemic hit, we quickly realized our initial automation strategy wasn’t flexible enough for the shifting needs of pet parents. To adapt, we revamped our system to allow real-time scheduling and adjustments. This change enabled pet parents who had unpredictable work hours, to easily reschedule walks as needed. By integrating neighborhood-specific insights, we also ensured that we could adjust routes based on weather and local events, maintaining our personal, neighborhood-focused service while offering the flexibility pet parents needed during uncertain times.

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George KunatzGeorge Kunatz
Owner, George’s Floofing Friends


Simplify Automation for Targeted Consulting

One instance where we had to revisit our automation strategy was during a shift in client demand from broad SEO audits to more granular, issue-specific consulting—especially around GA4 setup and content performance reporting. Initially, we had automated many of our onboarding and audit delivery processes, assuming clients wanted a comprehensive, hands-off experience. However, we started noticing lower engagement and fewer follow-up questions, which was unusual.

After speaking with a few clients, it became clear that many were overwhelmed by large reports and preferred more targeted, collaborative sessions. So, we adapted by simplifying our automation. Instead of automatically sending out full audit PDFs, we began delivering shorter, segmented insights using interactive dashboards, followed by a live walkthrough. We also started offering optional “action session” add-ons to help implement fixes, which weren’t part of our earlier model.

The takeaway was that automation should support clarity, not just speed. By staying flexible and regularly gathering client feedback, we were able to pivot without losing efficiency—just in a way that better aligned with real-time client needs.

John ReineschJohn Reinesch
Founder and Marketing Specialist, Asset Growth


Revamp Automation for Personalized Solutions

As our client base grew, we noticed a shift in customer expectations: more people wanted personalized, detailed solutions. Our previous automation system couldn’t keep up with this demand. To adapt, we revamped our tools to gather more detailed customer information, allowing us to offer tailored services while maintaining the personal touch our brand is known for. This change helped us meet the rising demand for stylish, practical home organization solutions, streamline our operations, and deepen connections with clients, all while staying true to our mission of empowering clutter-free living.

Lauren HammerLauren Hammer
Founder & Lead Organizer, Revive My Spaces


Streamline Automation for Faster Quotes

There was a point in my roofing business when we noticed a significant shift in customer expectations and buying behavior, especially when it came to how quickly we were responding to inquiries. Customers were looking for faster quotes, immediate follow-ups, and more detailed information at the point of contact. Our existing automation strategy, which primarily focused on initial contact emails and basic follow-up sequences, wasn’t cutting it anymore.

To adapt, we revisited our automation workflows and realized we needed to streamline the entire process, from the moment a lead came in to the moment they were ready for a consultation. We began by automating not just the initial responses but also quote generation and follow-ups. For instance, we integrated an online estimator tool that could give prospects a rough estimate on roofing costs within minutes, followed by an automated email with more detailed information and a link to schedule an on-site inspection.

We also introduced dynamic follow-up sequences that adjusted based on the customer’s level of engagement. If someone opened our emails or clicked through on an offer, they received a more personalized follow-up, while less engaged leads got a general reminder email with some educational content about roof maintenance. This segmentation allowed us to focus our attention where it mattered most, increasing conversions and engagement.

The change wasn’t just about speed; it was about matching our automation to the way customers were now expecting to interact with businesses. As a result, we saw a significant boost in conversion rates and faster responses, which helped us stay competitive in a rapidly changing market.

The takeaway? Automation should be flexible enough to evolve as customer needs and market conditions change. What worked a year ago might not cut it today, so regularly revisiting and adjusting your strategy is key to maintaining an edge.

Carl DuganCarl Dugan
CEO, Viking Roofing


Rebuild Automation for Local Communication

One of our most significant strategy pivots came while working with a brick-and-mortar lighting company in Cambodia.

We initially launched their lead generation automation using a traditional cold email outreach funnel. Technically, it worked, but engagement was poor. After reviewing the data, it became clear that email just wasn’t how most decision-makers in that region preferred to communicate.

To align with local behavior, we rebuilt the entire automation strategy around Facebook, Instagram, and Messenger using ManyChat.

Here’s what changed:

  • We replaced email with a Messenger-first approach, running targeted Facebook ads to bring leads into structured ManyChat sequences.
  • Inside Messenger, leads were qualified, educated on the company’s lighting consultancy offering, and shown how it pairs with their custom light manufacturing service.
  • Based on responses, they were prompted to book consultations or site visits with the sales team.
  • We used Make.com to sync Messenger data into Google Sheets and Airtable, which triggered follow-up workflows, lead scoring, and internal alerts.
  • Follow-ups were personalized within Messenger, using logic to deliver case studies, FAQs, or booking reminders based on each lead’s interaction history.

This overhaul dramatically improved engagement and conversions. The automation aligned with how local buyers actually behave—and helped the client close over $310K in contracts in Q1 2025 alone.

It was a clear case where automation had to adapt to local user behavior to work effectively. It’s not just set and forget.

It was a pain, but luckily we did it.

Brendan AwBrendan Aw
Founder, Nimbflow


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