1. How do AI agents enhance process automation, and what key inefficiencies do they help eliminate? 

AI agents enhance process automation by handling high-volume, repetitive tasks with speed, precision, and consistency. They streamline workflows by validating contracts, generating content, making rule-based decisions, and executing complex calculations. By eliminating bottlenecks such as manual data processing, human errors, and delays in decision-making, AI agents not only increase operational efficiency but also improve compliance, reduce costs, and enhance scalability. Additionally, they enable real-time data analysis, ensuring faster insights and better decision-making, while freeing up teams to focus on innovation and high-value strategic initiatives.

2. What role does natural language processing (NLP) and machine learning play in AI-driven automation? 

In the Pipefy context, the connection between natural language and AI enables us to scale our solutions. NLP acts as a bridge between humans and AI, allowing agents to process, interpret, and generate human language naturally. With Pipefy’s AI Agents, NLP ensures fluid interactions by adapting to users' language and behavior to deliver increasingly accurate and relevant responses.

Generative AI allows us to easily create agents that can operate within processes, continuously improve their performance, and optimize process automation in a smart and efficient way.

3. What industries or business functions can benefit the most from AI-driven workflow automation? 

Companies from all sectors can benefit from using AI Agents in their workflows, as they bring increased autonomy, efficiency, and precision to processes. Pipefy brings together the powerful combination of a no-code platform—enabling autonomy for business teams—with deep knowledge of the service management market, delivering solutions and use cases across industries like insurance, financial services, and HR, along with artificial intelligence that powers cognitive reasoning within workflows.

In insurance, for example, AI can streamline claims processing and risk assessment. In financial services, it helps automate compliance checks, fraud detection, and data analysis, driving significant improvements in operational efficiency and cost reduction.

4. How does AI-powered automation help businesses scale operations with the existing infrastructure? 

AI Agents are capable of profound transformations in operations and changing the working style between humans and agents, evolving the traditional automations. They allow processes to become more agile, intelligent and strategic, bringing a new era of operational efficiency and also allowing team members to focus on higher-value activities. They unlock technology within the company due to their easy setup and adoption, offering an intuitive interface and recommended agents for each type of process, without the need for any technical team for this implementation. AI-powered automation helps organizations accelerate digital transformation - empowering business areas without requiring IT support.

5. What are the biggest risks companies should be aware of when implementing AI in process automation? 

One of the biggest risks is failing to adopt AI, as companies that do not integrate AI into their operations may fall behind in AI transformation. However, even for those implementing AI, challenges remain. Businesses should be aware of potential risks such as data privacy and security concerns, probabilistic decision-making, and over-reliance on automation without human oversight. Ensuring proper governance and clear AI ethics policies can help mitigate these risks and maximize the benefits of AI-powered automation.

Additionally, it’s important to understand the use cases where AI is recommended to operate autonomously, under supervision, or not recommended at all. Because AI operates probabilistically, caution is needed to ensure appropriate oversight and avoid unintended consequences.

6. How do you see the role of AI evolving in process automation, and what’s next for the industry? 

Today, AI is no longer just hype, it’s becoming practical and accessible for companies.

Here at Pipefy, we are focused on this evolution, building an intuitive solution that democratizes AI adoption, empowering both technical and non-technical teams to automate processes with ease.

Looking ahead, we aim to further enhance agent decision-making, outcome prediction, and enable hyper-personalized workflows that drive efficiency and innovation across industries.

Because of Agentic AI, business process automation (BPA) is no longer just about automation, but delivering agents that understand the process and act independently.With Pipefy, our agents and assistants actively participate in processes in a simple and intuitive way, enhancing human-agent interactions.

1. What are the biggest emerging SEO trends that businesses should be preparing for in 2025 and beyond?

I think the biggest trend in search is the possibility that Google may not continue to drive traffic as they have historically over the past two decades. The movement of the search experience over the past few years will continually be influenced by artificial intelligence and machine learning. The ideal way to deal with this is to focus on EEAT (Experience, Expertise, Authoritativeness, and Trustworthiness) and Brand marketing. Reaching your audience continues to increase in complexity, whether it be through visual search, voice search, video, interactive content, or whatever is around the corner, figuring out where they are and what they engage with will be valuable to continued success in digital marketing.

2. How can businesses ensure that their SEO strategies align with evolving search engine algorithms?

Focus on your current audience or the audience you are trying to reach. User intent drives what is seen in search results, so understanding what people expect to see in the result for particular queries is what you need to provide to effectively rank and convert them when they reach your content. Contextual relationships with topics and brand relevance for these topics will be the key to continuing to rank, whether it be AI driven or keyword searches in traditional search engines or generative engines. To do this effectively, brands will need to leverage structured data that ties their content to their entity, helping the algorithms and AI to understand why your content is valuable for the person searching.

3. What are the biggest challenges brands face in local vs. global SEO strategies?

Localization will continue to limit traditional global SEO strategies because if it is relevant to a local company, search engines will likely provide them within search results more favorably because they are more relevant or apparent to a person in a particular location. This will make it harder for global brands to rank competitively across markets unless they have a known footprint, relevancy or awareness for a localized result. Local businesses that are leveraging location-based content and signals (e.g., Google Business Profiles, Yelp, Apple Maps, Bing Maps) have an advantage over these larger organizations’ higher authority signals that have historically helped them rank highly across the majority of search.

4. How should brands balance organic SEO efforts with paid search strategies for maximum ROI?

Understanding that SEO is not simply an acquisition channel, it provides awareness and can help brands gain traction that then can be converted through paid search can help you improve your return on ad spend. Additionally, leveraging high performing keywords in paid search to inform content strategies for organic search can help you increase your return by widening your funnel; what are the non-brand topics that are driving a lower cost per acquisition in paid that can be targeted in organic to reach them higher up in the funnel and turn to lower cost brand searches in paid. To find a balance, it is necessary to evaluate the blended ROI of all your marketing channels to find the right balance, no single channel is an island and there is value in being in all of the ones that your audience engages with.

5. What are the best practices for businesses to future-proof their SEO strategies against constant algorithm updates?

If you are producing content that is relevant, highlights your topical expertise and experience you will gain trust in your brand. Maintaining the experience on your site (navigation, UX/UI and performance) and making it easier to complete the desired task or find an answer will reinforce the purpose of your site to users and engines. If your brand earns this engagement and you can maintain it, your brand demand will increase, and you will prove to search engines that you should be included in results relevant to your brand. The easiest way to future-proof your strategy is to focus on what the engines are trying to do, deliver the most relevant results for a request based on the intent of the person making the request.

6. What impact will zero-click searches and AI-generated answers have on SEO strategies?

The short answer is less traffic, especially for informational queries. People will continue to search for these, and it will still be important for brands to have content that is relevant to these topics, because it shows
what brands and sites have expertise and authority for them. If you simply want to increase traffic, identifying other areas of the SERP like “no answer” queries, local search, people also asked, image results, product results, etc. that are present for keywords that have high demand will help your brand continue to stand out even if the result isn’t driving traffic to your website.

Key Takeaways – search engines will continue to award traffic to websites that focus on the user, leverage multi-format content that provide value. My recommendation is to ensure that SEO is part of your holistic marketing strategy, build owned assets and increase your engagement with the community where your brand operates. You can invest in tools, such as AI, to do this more efficiently, but effective content, analysis and engagement comes from human oversight and understanding.

1. What impact do changes in third-party cookie deprecation and privacy laws have on attribution models? 

The privacy landscape evolution hasn't just challenged attribution models—it's completely transformed them. Traditional attribution frameworks are fundamentally outdated in today's privacy-first ecosystem.

Rather than attempting to retrofit legacy tracking methodologies, we are encouraging businesses to take a more comprehensive approach that blends robust first-party data strategies with privacy-safe cross-platform attribution. This methodology not only honors user privacy commitments but delivers the precise insights businesses require to identify their most effective channels for customer acquisition, engagement, and retention optimization.

At its core, successful attribution in 2025 is about striking the perfect balance between preserving user trust and fulfilling critical business intelligence needs—a balance our platform uniquely delivers.

2. How can brands ensure accurate cross-channel attribution in a privacy-first digital landscape? 

The stakes for brands are tremendous—losing visibility into ad effectiveness directly impacts bottom lines. When Facebook reported a staggering $10B revenue loss in 2022 following Apple's privacy changes, it underscored the critical nature of this challenge. Without reliable identity resolution, measurement becomes exponentially more complex.

Our approach combines deterministic deep linking with sophisticated probabilistic modeling, maintaining attribution accuracy while prioritizing privacy compliance. The paradigm shift we're spearheading moves beyond individual tracking toward understanding aggregated, anonymized user journeys. This empowers brands to optimize performance while building sustainable trust relationships with their audiences.

We've conclusively demonstrated that retargeting and optimization goals remain achievable through innovative applications of aggregated identifiers and privacy-preserving technologies—proving that privacy and performance aren't mutually exclusive.

3. How is privacy-centric attribution changing the way marketers evaluate campaign performance and customer journeys? 

Privacy-centric attribution represents a fundamental shift from granular individual tracking to sophisticated pattern recognition across user segments. Today's most successful marketers understand that the future lies not in tracking clicks but in capturing meaningful, consent-driven insights that strengthen user trust while enabling smarter decision-making.

While Meta's Aggregate Measurement and Google's gbraid have pioneered new attribution methodologies using aggregated identifiers, they remain limited to their respective ecosystems. This limitation drove our development of Predictive Aggregate Measurement—utilizing the same technical foundations as AEM and gbraid but expanding capabilities across all ad networks to deliver 100% modeled attribution coverage.

The results speak for themselves: we consistently achieve an average 118% lift in iOS installs compared to SKAN installations. We're actively driving the industry-wide adoption of aggregate identifiers for optimization, setting new standards for privacy-compliant measurement. 

4. How can companies leverage privacy-first measurement techniques without sacrificing marketing effectiveness? 

The critical insight is focusing on market-level intelligence rather than individual user information. Brands need attribution clarity—understanding that specific conversions occurred under particular circumstances—without requiring exhaustive personal data. The marketing insights remain equally valuable while the methodology evolves.

Our industry must continue innovating to address marketers' fundamental question—”How effectively are my investments performing?”—while simultaneously advancing measurement practices that respect evolving privacy expectations. Our platform sits at this precise intersection, delivering comprehensive performance insights within privacy-first frameworks.

5. What are the biggest challenges businesses face in balancing ad performance tracking and data privacy regulations?

Businesses today face a three-pronged challenge: keeping pace with rapidly evolving privacy regulations, maintaining targeting and personalization capabilities, and optimizing marketing investments in an increasingly complex landscape.

We're committed to help businesses avoid the scenario where they allocate marketing budgets based on assumptions rather than insights, attributing measurement limitations to privacy changes. This commitment drives our development of solutions that bridge iOS measurement gaps, eliminate cross-platform fragmentation, and unify cost and attribution data—all while maintaining strict privacy compliance.

The persistent challenge of managing multiple networks with distinct attribution models underscores why accurate, privacy-conscious measurement is more critical than ever. Our platform provides that ultimate source of truth, enabling confident allocation of marketing investments based on reliable performance data rather than guesswork.

1. How have shifting business and consumer behaviors changed the way organizations approach events and travel?

In B2B GTM, where I’ve spent the majority of my 20+ year career, the shifts we see are usually in response to external factors. How is our market changing? How do we keep our Events relevant to the audiences we care about? How are economic conditions impacting my attendee’s ability to travel? And more recently, how does the political climate contribute to this uncertainty? All too often Events are among the first things to be cut when the economy softens, and so organizers are in a constant battle to innovate while also maintaining budget (and staff!). Event attendees, whether in a B2B or B2C setting, are still humans first, and would-be attendees are more discerning than ever with their money and their time. No doubt these are challenging times, but it’s certainly no time to wilt under the pressure. We must remind ourselves that Events offer unique value that can’t be replicated in another channel. Recent research on B2B Events budgets shows they are holding firm and tracking to a 10+ year average. So it’s important to acknowledge the power that our attendees hold, and the need to innovate, but also to remain steadfast about the impact that an effective Events program brings to our organizations.

2. What are some common mistakes companies make when designing their meetings and travel programs, and how can they be avoided?

It seems cliche to say that ‘strategy is critical to event success’, but we see it all the time where Event objectives are poorly defined, too generic, or simply not in line with what business stakeholders expect from the program investments. The onus is squarely on event leaders to better align Event objectives for any with core business goals. Most B2B Events have the potential to impact several different objectives simultaneously, sometimes cloudying the picture of what could be the standout objective. To deal with this, I’m an advocate for an ‘Audience first’ approach - starting with a specific Audience segment and building the event experience to optimize around only a handful of essential objectives for that audience. Narrow in focus but deep in impact.

3. How should organizations integrate meetings and events into their broader go-to-market (GTM) strategy? 

The ‘portfolio’ concept has become more mainstream in recent years and I’m an advocate for this approach. A portfolio strategy considers the various types of Events that are possible as a ‘portfolio of experiences’ to cover a spectrum of business objectives - creating brand awareness, launching a new product,  collaborating with partners or suppliers, deepening customer relationships, closing new business, etc. With a range of possibilities, we can be very intentional about how to use each type of experience to do a very specific job with a very concrete objective. As a channel, Events should also be combined with other channels or tactics in the construct of a campaign. So in some ways Events stand alone because of the unique value they deliver, but in most ways they are part of an integrated GTM strategy.

4. How can organizations use data and insights from meetings and events to improve marketing and sales outcomes?

Building on the idea that each type of event experience has a specific job to do with a very concrete objective - every objective should ultimately align with the corresponding metrics and KPIs that best measure each objective (awareness, demand, deal velocity, product adoption, etc.). These are performance measures that are not specific to only Events, but to every channel or tactic in our arsenal. This approach lets us understand the performance of the Events channel relative to other channels, but it also positions Events to contribute to the core outcomes we expect sales and marketing investments to drive. 

5. How can companies leverage events as a demand generation and customer acquisition tool? 

Setting aside the ‘demand gen vs. lead gen’ debate, Events can be an extremely effective means of creating or capturing demand. The notion of ‘Event led growth’ also stems from this - by its very nature, what is so unique about the Events channel, and in particular live Events, is that we create the opportunity for buyer and seller to interact in a very meaningful way, in a very short span of time, and oftentimes at a reasonable scale. In the face of challenging market conditions, economic uncertainty, and political unrest, this should bolster even the faint of heart to trust in the power of events. 

1. How does sustainability in audience data collection and processing impact the broader digital advertising landscape ?

Thanks to research done in 2019 by The Shift Project, we know that the internet is responsible for approximately 3.7% of global Greenhouse Gas (GHG) emissions. And digital marketing is a contributing factor. All the data transfer required to serve a single ad impression is powered by servers, many of which are powered by fossil fuel-based energy sources. As an industry, if we can get smarter and more efficient about how we operate, we can help make the digital advertising ecosystem more environmentally sustainable.

2. Tell us about Datonics' carbon-neutral initiative and the journey ?

Datonics has taken the same steps and followed the same standards and protocols as other companies in other sectors have been following for many years. We start measuring, because as we all know, you can’t manage what you don’t measure. Datonics has completed 2 GHG inventories, which have been independently verified by Cameron-Cole, an accredited emissions verifying organization.  We made the decision to further our sustainability by offsetting our residual emissions by investing in verified carbon reduction, avoidance and removal projects through Climate Impact Partners, one of the most trusted providers of carbon offset projects. In doing so, Datonics became the first and only audience data platform to be certified as a CarbonNeutral ® company. So brands and agencies that work with Datonics know that the work they do with us will have a much smaller carbon footprint when compared to working with other companies that have not gone through this rigorous process.

3. What future innovations do you see in green data processing and sustainable advertising technology ?

We believe we are at the very beginning of a trend throughout the advertising technology industry where every company will do what Datonics has done, in measuring, reducing and removing the GHG emissions from their business operations. This is not a new trend. Thousands of companies in dozens of other sectors have been taking real corporate climate action for a decade or more. As the advertising industry continues to catch up with the rest of the world, we expect new innovations to be created. We expect more ad tech platforms to migrate away from on premises data centers to cloud platforms like Amazon Web Services (AWS) and Google Cloud Platform (GCP), which will make a huge impact on our collective efforts to decarbonize. 

4. What are the biggest environmental challenges facing data providers today, and how can they be mitigated ?

We know that there is huge waste in the programmatic ecosystem. The sheer volume of data being transferred between demand and supply side platforms through ad calls and bid requests is staggering. And the vast majority of this data transfer doesn’t even result in a delivered ad impression, let alone an impression that is seen by an actual human. The biggest challenge facing data providers today is that we need to be more efficient in how we conduct business and this starts by taking the first step - measuring the environmental impact of our business operations so we can make smarter decisions about how to start reducing data waste and the carbon emissions that come from it.

5. How can companies ensure that sustainability efforts don’t compromise data accuracy and performance ?

Sustainability is directly linked to efficiency and efficiency is directly linked to performance. If you are reducing waste in your advertising, it typically means you are creating a more direct connection to your target audience through a more efficient buying path. By reducing waste, you’re making your advertising more efficient and as a result lowering its carbon impact.

1. How does agentic AI differ from traditional AI-powered chatbots in terms of user interaction and engagement ?

Traditional AI-powered chatbots operate within predefined scripts that respond based on explicit commands. Agentic AI functions autonomously and leverages generative AI to reason through multistep tasks and self-correction, and it can interact with other AI agents or humans. While traditional chatbots are reactive, agentic AI is more proactive. This enables a more dynamic, adaptive, and personalized interaction. It also humanizes the interactions and improves the customer journey and overall experience through deeper personalization. 

2. How can agentic AI facilitate more meaningful interactions between brands and consumers ? 

The biggest advantage that agentic AI offers is providing a deeper connection and conversation with customers. Brands can better understand, anticipate, and direct consumers to outcomes that align with their overall business and growth goals. This creates more loyalty and higher engagement rates. While AI has proven to be a beneficial tool, agentic AI is really where marketers can create hyper-personalized experiences by structuring and classifying incoming unstructured data, automating decision-making, and integrating with enterprise platforms​. It understands context, sentiment, and past interactions, allowing brands to respond with relevant, human-like engagement. This fosters stronger relationships, as brands can anticipate customer needs, provide proactive solutions, and ensure seamless interactions across different touchpoints.

3. How does agentic AI help event marketers identify and eliminate friction points in the customer journey ? 

Agentic AI has been and will continue to be a game changer for event marketers. Event marketers are faced with various challenges, all laddering up to proving ROI and increasing engagement. The use of agentic AI enables event marketers to analyze attendee behavior in real time, identifying drop-off points, engagement gaps, and logistical pain points​. By leveraging cross-domain automation and data-driven insights, AI can detect where attendees disengage, whether it’s during registration, session selection, or networking. AI has been instrumental for pulling out patterns and analyzing behavioral trends. Agentic AI takes that a step further. Once the technology has detected trends and patterns, AI-powered recommendations can personalize event experiences, ensuring attendees receive relevant content, and can offer real-time guidance to attendees to maximize their time at an event.  AI integrations with platforms like Salesforce and Adobe also help measure engagement and optimize marketing strategies, creating a seamless journey from registration to post-event follow-ups​.

4. How does agentic AI improve marketing automation by anticipating customer needs rather than just reacting to them ? 

Unlike traditional AI-powered chatbots that execute predefined workflows, agentic AI continuously learns from customer behaviors using multistep planning, reasoning, and reflection​. By leveraging agentic AI, it predicts future actions and tailors content, offers, and recommendations in real time. This ensures brands engage customers at the right moment with relevant messaging, increasing conversions and satisfaction. Agentic AI helps to make customer needs more personalized and better anticipated. 

5. How can businesses use agentic AI to build stronger emotional connections with their audience ?

Agentic AI is going to be very important for brands looking to change how they interact and build relationships with consumers. The technology enables brands to craft more human-centric interactions by analyzing emotional cues, past engagements, and real-time sentiment. It can personalize communication styles, anticipate customer concerns, and deliver content that resonates emotionally. Agentic AI can also help by creating personalized, context-aware, and more empathetic interactions that traditional AI cannot. It has an advantage because it can learn from preferences, behaviors, and cues and immediately tailor the customer journey and goals by providing recommendations or taking actions on behalf of the customer. 

6. How can agentic AI streamline the customer journey from awareness to conversion ?

Agentic AI enhances the customer journey by removing bottlenecks at each stage, from discovery to decision-making. Through AI-driven personalization, it can adjust messaging, recommend relevant content, and optimize engagement strategies. Agentic AI’s predictive capabilities help marketers anticipate customer needs while eliminating redundant steps in the buyer’s journey. AI-powered event insights can enable real-time adjustments, ensuring attendees and prospects receive the right touchpoints at the right time.

SurveyMonkey, the world’s most popular platform for surveys and forms, recently announced Connect, a library of no-code quick actions to connect survey data with popular business apps. We connected with Liwen Xu, Product Marketing Manager, to discuss how no-code automation facilitates seamless data integration, enabling businesses to enhance customer feedback processes, overcome adoption challenges, and implement agile strategies.

1. How does no-code automation empower businesses to streamline data integration without relying on technical teams ?

No-code automation allows non-technical users to easily set up and configure simple workflows. Called Quick Actions, these workflows support core use cases such as sending a notification in Slack when you get a specific response, like a support request, updating Excel when a new response is received so you can stay up to date on registrations, or sharing feedback across your organization in the tools you use every day.

With Connect, anyone can search through the SurveyMonkey library of business app integrations and automate quick actions based on their survey results before their responses start rolling in. As a natural step of the survey creation flow, Connect allows users to easily automate survey-based actions (such as sending notifications) seamlessly while designing and sending out a survey. It also enables users to set conditions for each Quick Action so they can determine which feedback needs follow-up actions or what outcomes are next. This removes the complexity of multi-tool traditional integrations so that they can quickly and seamlessly get value out of their feedback.

2. What are the key advantages of seamless data integration for improving customer feedback loops ?

Connect is the easiest way to link SurveyMonkey with the business apps you use every day so that you can amplify the impact of survey responses and save time. These new apps make it easy to automatically send the right survey responses to the right people in real time, and you can set them up without leaving SurveyMonkey.

By setting up Quick Actions, you can set conditions so that you can focus different teams/stakeholders on the specific feedback that is most relevant to them and take action immediately. This not only reduces the risk of missing critical feedback that needs to be actioned on, but also keeps teams informed in real time so they can have a full view of the feedback provided. By feeding important feedback to those responsible, users are empowered to close the feedback loop quickly, driving higher satisfaction rates for your customers and employees. 

3. What are the biggest barriers companies face in adopting no-code tools, and how can they overcome them ?

Users are often wary to try an integration as many feel it will be too complicated and technical to set up. They can also be wary that the integration may not do what they expect if they take the time to set it up or are required to upgrade their plans to use it. 

When it comes to organizations, the default is to not allow employees to use an integration due to security concerns or not wanting to add additional burden on IT to support any issues that may arise. Employees could be gated when trying an app or integration even if it offers an opportunity to automate critical business processes, reduce errors, or save employees time.

To overcome these barriers, organizations need to reduce the barriers to adoption so their employees can take advantage of all the benefits offered. SurveyMonkey has focused on simplifying the setup, usage, and user flows so that employees will not require reliance on IT for support. We’ve ensured the scopes required for each app are the lowest available so that organizational security concerns are minimized. 

SurveyMonkey has also integrated Connect apps into the survey creation flow, driving awareness and making it easier for users to see opportunities to automate tasks based on feedback. Our goal is to allow more customers from Basic (free) to Teams/SME to have access to Connect apps so they can get value with most common tasks and upgrade for more advanced features.

4. How does SurveyMonkey Connect help organizations bridge the gap between survey data and enterprise systems ?  

Customers are dealing with disparate and disconnected solutions that house a variety of data related to their employees and customers, making it harder to collaborate, drive deeper insights, and "connect the dots" for better employee and customer experiences. Disparate solutions often mean tasks to move data or launch workflows are manual, time-consuming, and error prone - reducing efficiencies and effectiveness. Integrating survey data into frequented business tools by the team brings siloed systems together.

Connect provides users a native, easy-to-use set of Quick Actions that support the most critical use cases and third-party solutions that organizations use most. For example, it can be used to notify users of any feedback that needs to be actioned or shared. This can be done across multiple channels. Users can filter out irrelevant responses and define which response details are included in the message. We also know not all employees are SurveyMonkey users, but there is a need to access and analyze data in the solutions of their choice. Connect offers a flexible solution that allows anyone to determine which data to share so that any security or Personally Identifiable Information (PII) concerns are reduced. 

There are additional features to support marketing/email automation platforms, in addition to CRM platforms such as Klaviyo and Zendesk, that are coming soon. Stay tuned for more! 

5. What industries stand to benefit the most from no-code task automation, and why ? 

Any organization or employee who wants to take action on feedback as it is received or automate a manual process stands to benefit from Connect. From small organizations that may not have the same level of technical skills as a larger organization, to a larger organization that deals with a lot of feedback that needs to take action quickly and easily, any user that wants to collaborate with stakeholders on feedback being received and who are not in SurveyMonkey can no-code task automation. Additionally, any small business that wants a single source of truth for event registration, product feedback, and beyond can also benefit. The opportunities are unlimited!

6. How can businesses leverage real-time survey data to drive more agile marketing and customer experience strategies ?

There are many great examples! Marketers can easily automate sharing survey and form results with internal teams via collaborative notification tools like Slack, from event suggestions to new product ideas and more. With Excel exporting, analysis and detailed data-driven presentations for new launches, campaigns, and events can be leveraged. Connect eliminates the need to do a manual export/import of contact data and ensures survey data immediately enriches marketing efforts.

CX leaders can automate surfacing information so that customer-facing support and employees can be notified instantly on Slack or Teams and take action, whether that’s resolving complaints or walking through product questions. This closed-loop feedback approach empowers users to respond in real-time to customer input, which can dramatically improve customer experience (such as reaching out immediately to unhappy customers to prevent churn), or a positive response might trigger an upsell offer or referral request. Connect can help drive higher levels of customer satisfaction by enabling quick follow-ups to customer concerns via these instant notifications of survey responses. This reduces delays between feedback and action so that negative responses that need to be acted on don’t slip through the cracks. 

1. How does the integration of AI in in-store audio messaging compare to traditional methods in terms of efficiency and effectiveness ? 

Leveraging AI in audio messaging fundamentally transforms a complicated process into something remarkably streamlined. With traditional methods, businesses would spend days coordinating scripts, booking voice talent, and scheduling studio time — all while racing against promotion deadlines.

Our Messaging Copilot cuts this down to minutes through a simple two-step workflow. Organizations select their voice, compose their message, and they're done. The efficiency gains are dramatic, but what's truly compelling is how it democratizes professional messaging. Location managers can now create locally relevant content without specialized technical skills. This content also includes internal communications, where businesses can quickly create professional employee messages for training updates, operational changes, or motivational announcements.

The effectiveness piece is where things get interesting. Our research shows that 42% of shoppers engage with in-store audio messages, with 37% making purchases directly because of them. Beyond retail, these engagement patterns extend to all industries, especially hospitality, healthcare, and financial services where timely information delivery significantly improves customer experience. By enabling more timely, localized messaging through AI, we're helping organizations capitalize on audiences at the moment they're most receptive to messaging.

2. How does the use of AI in in-store audio messaging align with current trends in personalized marketing strategies ?

AI in audio messaging aligns perfectly with today's personalization trends by bringing the tailored experiences consumers expect online into physical spaces. Businesses can now quickly create location-specific content that addresses regional preferences, seasonal needs, and local events — something traditional mass-produced messaging simply can't achieve.

This technology enables organizations to react in real time to changing conditions, bridging a critical gap in the omnichannel experience. Whether it's a hotel promoting local events, a healthcare facility providing seasonal wellness information, or a retailer highlighting new inventory, background noise is now transformed into a strategic asset within the broader personalized marketing ecosystem.

3. How does the collaboration between AI-generated content and human voice talent enhance the quality of in-store audio messages ?

AI rapidly generates customized scripts for specific campaigns or locations, while professional human voices deliver the authenticity and emotional connection that technology alone can't replicate, creating a powerful synergy in audio messaging. 

This partnership preserves human warmth while solving the speed challenges of traditional audio production. Orgs can match different voice personalities to specific message types (e.g., energetic for promotions, softer for service announcements) and select regional accents or dialects like British English to match local demographics, resulting in audio experiences that deeply resonate with customers while maintaining brand consistency.

4. How can retailers measure the return on investment when implementing AI-driven in-store audio solutions ? 

Retailers can measure ROI using direct and indirect metrics. Direct indicators include tracking promotion-specific sales lifts, measuring conversion rates during targeted messaging campaigns, and comparing performance across locations using different audio strategies. Customer surveys can capture attribution data by asking how shoppers learned about promotions.

Efficiency gains provide another measurable return — calculating time saved in message creation and deployment compared to traditional methods directly translates to labor cost savings. The most forward-thinking retailers are also integrating audio messaging performance into their broader analytics ecosystem, connecting audio campaign timing with foot traffic patterns, dwell time, and purchase data to build a comprehensive view of audio's impact on the customer journey.

5. What advancements in natural language processing have enabled the development of AI tools like Messaging Copilot ? 

Natural language processing has transformed audio through several breakthrough technologies. Modern AI can now understand context and nuance in ways previously impossible, recognizing brand voice patterns and generating messaging that feels authentic rather than robotic. These systems have learned from millions of marketing examples to understand what language resonates with audiences, all without requiring businesses to build complex systems from scratch.

Voice technology has similarly evolved beyond robotic speech to create natural-sounding audio. Messaging Copilot's Voice Lab takes advantage of this progress by letting users adjust specific qualities like pace, emphasis, and emotional tone. Location managers can now make promotions sound enthusiastic or announcements authoritative without recording multiple versions. This technology delivers professional-quality audio in minutes rather than days, enabling timely, targeted messaging that keeps pace with rapidly changing retail environments.

6. In what ways can AI-generated scripts improve the consistency and relevance of brand messaging across multiple locations ?

AI-generated scripts significantly improve multi-location brand consistency by establishing a standardized framework while allowing for local customization. When orgs operate across diverse markets, maintaining a unified brand voice while addressing regional differences has traditionally required extensive coordination between corporate marketing and local managers. AI resolves this issue by generating content from approved brand templates that can be easily adapted for local relevance.

This approach ensures core brand elements — tone, key phrases, and language — remain consistent while enabling location-specific details like local events, regional preferences, or service offerings. Site managers can quickly modify messaging for their unique needs without straying from brand guidelines, eliminating the communication gaps and delayed approvals that often plague multi-location retail operations. The result is more nimble, relevant messaging that speaks directly to local audiences across diverse sectors while maintaining a cohesive brand experience.