Using Chat Blasts: Best Practices and Engagement Insights

In today’s fast-paced internal comms, mastering chat blasts can skyrocket open rates and click rates, outpacing traditional emails. Drawing from the Internal Comms Metric Guide by HFS Research and Syniti‘s insights, this guide reveals best practices for setup, personalization, and measurement via email analytics. Unlock actionable strategies to boost engagement and drive results.

What Are Chat Blasts?

Chat blasts deliver targeted messages to thousands of Messenger users simultaneously, achieving open rates 10x higher than email according to Customers.ai benchmarks. These bulk messaging tools operate through platforms like Facebook Messenger, WhatsApp Business, or SMS, allowing businesses to send promotions, updates, or reminders at scale. Businesses appreciate their speed and direct access to mobile audiences, where users check apps frequently.

Chat blasts evolved from traditional SMS marketing, which boasts 80% open rates per Twilio data, into sophisticated Messenger marketing solutions. Early text blasts faced delivery hurdles, but modern tools offer improved segmentation and personalization. For instance, Shopify stores use them for abandoned cart recovery, seeing a 30% uplift in conversions as noted by Larry Kim. This shift provides better engagement metrics like click rates and read times compared to email analytics.

Unlike email campaigns with variable delivery, chat blasts ensure high visibility on users’ primary screens. They support opt-in processes for compliance and work together with tools like HubSpot CRM for tracking ROI proof. Companies leverage them for time-sensitive alerts, boosting conversion rates through instant notifications and Messenger chatbot automation flows.

Key Features and Platforms

Top chat blast platforms offer broadcast capabilities, audience segmentation, and analytics dashboards with 98% delivery rates. These tools track engagement metrics such as open rates, CTRs, and scroll depth, far surpassing vanity metrics in email. Businesses select platforms based on pricing, integrations, and use cases like e-commerce or lead generation.

Platform	Price	Key Features	Best For	Pros/Cons
Customers.ai	Free-$99/mo	Messenger broadcasts, ecom recovery	Online stores	Pros: Quick setup, high open rates. Cons: Limited to Messenger.
ManyChat	$15-$125/mo	Automation flows, lead gen bots	Lead generation	Pros: Robust flows. Cons: Steeper learning curve.
Chatfuel	$15-$95/mo	Instagram DMs, retail templates	Retail brands	Pros: Multi-channel. Cons: Fewer analytics.
MobileMonkey	$19-$499/mo	Omnichannel, SMS integration	Agencies	Pros: Scalable. Cons: Higher cost.
Respond.io	$79-$499/mo	WhatsApp Business API, team inbox	B2B sales	Pros: Compliance tools. Cons: Complex setup.

Beginners find Customers.ai simpler than ManyChat, with setup time of just 15 minutes versus 2 hours. Customers.ai focuses on straightforward Messenger broadcasts for quick wins like abandoned carts, while ManyChat excels in complex automation for sustained lead nurturing. Both provide campaign reporting, but Customers.ai edges out for fast ROI in e-commerce.

Choose based on your needs, such as GDPR compliance or mobile optimization. Test via A/B testing on subject lines and personalization tokens to maximize channel performance across platforms.

Setting Up Effective Chat Blasts

Effective chat blast setup requires precise audience targeting and compliance with Messenger policies, reducing unsubscribe rates by 75%. Proper configuration lays the foundation for success, as noted by expert Isaac Rudman, who states that setup determines 80% of campaign outcomes. Businesses must secure Facebook Business Manager approval and build a subscriber base of at least 1,000 contacts to unlock full chatbot automation potential in Messenger marketing.

Technical prerequisites include verified business assets and integrated tools like ManyChat or Respond.io for smooth deployment. Once approved, focus on data management to ensure lists comply with GDPR standards and opt-in processes. Segmentation plays a pivotal role here, boosting CTRs up to 4x by tailoring messages to user behaviors without complex setups. For internal comms, this means distinguishing frontline workers from remote teams early, mirroring email analytics practices for higher open rates.

Common pitfalls involve skipping compliance training or ignoring channel performance metrics, leading to poor engagement metrics. Start with A/B testing on small batches to refine delivery times and personalization tokens. For a deep dive into monitoring and maintaining Facebook chatbot performance, our strategies and tools guide will help you track key metrics effectively. This approach yields strong ROI proof, similar to intranet technology gains reported in the Simpplr report, where precise setups enhanced employee engagement across leadership messages and business outcomes.

Audience Segmentation Strategies

Segmenting chat blast audiences by behavior and demographics increases engagement 320% according to Customers.ai data. This tactic outperforms broad blasts in Messenger marketing, driving better click rates and conversion rates akin to B SMS marketing successes. Segmentation refines internal comms for frontline workers versus remote teams, optimizing read times and scroll depth much like Outlook tracking in email campaigns.

Implementing strategies takes about 15 minutes per segment using platform tool capabilities. Avoid over-segmentation, a frequent mistake that fragments lists and lowers open rates. Instead, layer tactics for balanced campaign reporting, drawing from the Internal Comms Metric Guide to track vanity metrics against true business outcomes like those in the HFS Research and Gallagher report.

1. Tag-based segmentation in ManyChat targets groups like ‘cart abandoners’, ideal for recovery blasts with 15-minute setup.
2. Custom fields via HubSpot CRM integration pull data for personalized employee engagement messages.
3. Behavioral segmentation splits purchased users from browsers, boosting CTRs in chatbot automation flows.
4. Location-based geo-fencing with Respond.io pinpoints regional teams, enhancing mobile optimization.
5. Divide frontline workers vs remote teams for tailored leadership messages and compliance training.
6. Engagement score filters high/low interactors, refining future text blasts in 15 minutes.
7. Lifecycle stage groups prospects, customers, or churn risks, mirroring B2B email best practices.

Best Practices for Content Creation

Chat blast content must be scannable and mobile-first, as 95% of messages are read on phones within 3 minutes. High-quality content drives 7x higher CTRs than frequency alone, according to industry benchmarks. Poorly crafted blasts lead to quick unsubscribes, while optimized ones boost engagement metrics like open rates and click rates. Mari Smith’s Messenger benchmarks highlight the 1,200 character sweet spot for maximum retention without overwhelming recipients. This sets the stage for effective message crafting and timing optimization, ensuring broadcasts align with user behavior and deliver real ROI proof.

Focus on personalization tokens and segmentation to tailor content for remote teams or frontline workers. Integrate A/B testing with tools like ManyChat to refine subject lines and body text. Track scroll depth and read times via chatbot analytics for deeper insights into content performance. Combine chat blasts with SMS marketing or B2B email for multichannel impact, while respecting opt-in processes and GDPR compliance. These practices elevate channel performance beyond vanity metrics.

Effective content creation also involves data management for clean lists and campaign reporting to measure business outcomes. Reference internal comms benchmarks from HFS Research or the Simpplr report to benchmark against peers. Prioritize mobile optimization rules like 1.2 line spacing and 14pt font to enhance readability on small screens. By following these best practices, chat blasts become a powerful tool for leadership messages and employee engagement. Learn more about designing effective conversation flows for Messenger bots to maximize these benefits.

Crafting Compelling Messages

Top-performing chat blast messages use 47-character headlines and 3 emojis maximum, achieving 28% CTRs per Dennis Yu. Start with concise, action-oriented headlines that grab attention instantly. Incorporate personalization tokens like first names to boost relevance. Here are 8 specific message templates with character counts: 1) Flash saleFlash Sale! 50% off select items ends tonight. Tap to shop now! ” (112 chars). 2) Cart recoveryForgot something? Your items are waiting. Complete your purchase in 1 tap! ” (98 chars). 3) Event inviteJoin our exclusive webinar on AI trends this Thursday. Reserve your spot free! ” (134 chars).

Continue with: 4) Feedback requestHow can we improve? Quick 30-sec survey for your input. Thanks! ” (76 chars). 5) Re-engagementMissed you! Here’s 20% off your next order. Come back today. ” (89 chars). Use a ManyChat A/B testing protocol: test 3 subject lines over a 24-hour window, then scale the winner based on CTRs and conversion rates. This mirrors Messenger marketing tactics for chatbot automation.

Apply these 5 mobile optimization rules:

• 1.2 line spacing for easy reading
• 14pt font minimum
• Short paragraphs under 3 lines
• Bold key actions
• Single-tap buttons

Track engagement metrics like read times alongside email analytics from Outlook tracking or Gmail analytics. These steps ensure compliance training messages or product updates drive higher interaction without fatigue.

Optimal Timing and Frequency

Wednesday 10 AM broadcasts achieve 41% open rates vs 19% on weekends, per Customers.ai 50K campaign analysis. Timing directly impacts open rates and click rates, with Larry Kim’s 80/20 timing rule emphasizing peak hours for 80% of results. Align sends with audience timezones and behaviors to maximize visibility. For instance, ecommerce peaks mid-morning weekdays, while retail favors afternoons.

Use this timing matrix by industry and timezone:

Industry	Optimal Time (EST)
Ecommerce	Tue 11AM
SaaS	Wed 10AM
Retail	Thu 2PM

Cap frequency at 4/week maximum, as 18% dropoff occurs after 5 blasts. Implement a 3-step testing process using Chatfuel analytics: 1) Establish baseline metrics. 2) Test variations. 3) Optimize based on data. This refines segmentation for better ROI.

Monitor conversion rate and text blasts alongside intranet technology like Cerkl Broadcast for hybrid strategies. Avoid weekends for B2B audiences, focusing on business hours. Integrate with HubSpot CRM for full-funnel tracking. Consistent testing yields sustained employee engagement and channel performance, as seen in the Gallagher report and Syniti report on internal comms metrics.

Personalization Techniques

Personalized chat blasts with first names boost replies 2.6x, while product-specific recommendations lift conversions 47%. These gains come from using personalization techniques in platforms like Chatfuel and ManyChat, which tap into user data for tailored Messenger marketing messages. By integrating dynamic fields, businesses see higher engagement metrics such as open rates and click rates, similar to SMS marketing best practices. Start with simple tokens and scale to advanced segmentation for maximum impact in chatbot automation.

Implementing these techniques requires clean data management and A/B testing to refine delivery. For instance, combine personalization tokens with location data to mimic email analytics in chat blasts. Tools like HubSpot CRM can feed subscriber details into chat platforms, ensuring GDPR compliance through opt-in processes. Track conversion rate lifts via campaign reporting to validate ROI, much like measuring CTRs in B2B email. Businesses report stronger business outcomes when personalization aligns with user behavior, boosting loyalty and repeat interactions.

ROI proof is clear: at $0.02 per message, a 15% conversion lift on a 10K blast yields $3,750 profit. Calculate as (blast size x cost per message x lift percentage x average order value). This mirrors insights from HFS Research on personalization tokens driving employee engagement in internal comms, adaptable to customer text blasts.

1. Dynamic First Name

Use dynamic first name insertion like Chatfuel’s {{first_name}} token to make messages feel one-to-one. In ManyChat, set the JSON field as {"first_name"{{user_first_name}}"} in the custom field setup. This personalization technique increases reply rates by addressing users directly, such as “Hi Sarah, check out our new arrivals.” Test via A/B testing on subject lines equivalent in chat previews for optimal mobile optimization.

2. Recent Purchase Recall

Recall recent purchases to build relevance, e.g., “Loved your blue sneakers? Try these matching socks.” In ManyChat JSON, use {"last_purchase"{{last_bought_item}}"} pulled from integrated CRMs. This segmentation tactic lifts repeat sales, drawing from browse abandonment strategies in email analytics. Monitor engagement metrics like read times to refine timing post-purchase.

3. Location-Based Offers

Deliver location-based offers like “Rain in New York? Grab 20% off umbrellas nearby.” Configure ManyChat with {"user_city"{{user_location}}"} via Facebook’s location data. Ensure GDPR compliance with opt-in processes. This boosts click rates akin to geo-targeted SMS marketing, with channel performance tracked through scroll depth in chat flows.

4. Birthday Messages

Send birthday messages such as “Happy Birthday, Alex! Here’s a special gift for you.” Use ManyChat JSON {"birthday"{{user_birthday}} "first_name"{{user_first_name}}"} triggered by stored dates. Time blasts for peak open rates, integrating with loyalty programs. This fosters employee engagement-style warmth in customer comms, per Simpplr report insights on timely messaging.

5. Browse Abandonment

Address browse abandonment with “Forgot something? Your cart awaits: red dress.” Set ManyChat fields via {"abandoned_item"{{cart_item_name}}"} from pixel tracking. Pair with urgency timers for 47% conversion lifts. Analyze CTRs and compare to Outlook tracking in B2B email for cross-channel learnings.

6. Loyalty Tier Messaging

Tailor by loyalty tier, e.g., “Gold member perk: Exclusive access unlocked.” Implement in ManyChat with {"loyalty_tier"{{user_tier}} "points"{{user_points}}"}. Segment for VIP offers, boosting retention like intranet technology for internal comms. Use Gallagher report data on tiered rewards to project ROI, focusing on vanity metrics versus true business outcomes.

Boosting Engagement Rates

Interactive chat blasts with polls and buttons achieve 8x higher engagement than plain text messages. Interactivity plays a key role in earning favor from the Messenger algorithm, which boosts message distribution by 30% for engaging content. This happens because interactive formats signal value to users, prompting quicker responses and longer sessions that the algorithm rewards with wider reach. In Messenger marketing, such tactics align with broader engagement metrics like open rates and click rates seen in email analytics or SMS marketing.

Brands using these methods see substantial lifts in performance without extra spend. For instance, adding simple polls or buttons can drive a 23% CTR uplift through elements that encourage immediate action, such as quick choices or visual selectors. This mirrors A/B testing results in chatbot automation, where interactive blasts outperform static ones in conversion rates. Focus on segmentation for remote teams or frontline workers to maximize relevance, much like personalization tokens in B2B email. Previewed elements include buttons, emojis, sliders, carousels, and mentions, each tailored to spark replies and shares.

Tracking channel performance via campaign reporting reveals how these boosts tie to business outcomes, similar to ROI proof in intranet technology. Tools with strong data management help monitor scroll depth and read times, avoiding vanity metrics. Leadership messages sent interactively often yield higher employee engagement, per reports like the Simpplr report on internal comms.

Interactive Elements and CTAs

Quick reply buttons increase click-through 412% over text links, per ManyChat’s 2024 benchmarks. These 3-button quick replies are set up easily in chatbot automation platforms by defining options like “Yes,” “No,” or “Maybe” in the message flow. Use this JSON snippet for implementation: {"quick_replies":[{"content_type"text"title"Option 1"payload"PAYLOAD1"},{"content_type"text"title"Option 2"payload"PAYLOAD2"},{"content_type"text"title"Option 3"payload"PAYLOAD3"}]}. Next, emoji reaction polls involve sending a question with emoji options, letting users tap hearts or thumbs for instant feedback, ideal for gauging interest in compliance training topics.

Slider questions allow users to drag a scale from 1-10 for ratings, configured via platform sliders that capture nuanced data for segmentation. Carousel product selectors display swipeable cards with images and “Select” buttons, perfect for Messenger marketing campaigns showcasing offers. Finally, story mentions tag users in narrative updates, prompting replies like Instagram-style interactions. For CTAs, use action verbs such as “Claim,” “Shop,” or “Vote Now,” add urgency with phrases like “limited spots,” and limit to 1 primary CTA per blast to avoid confusion, boosting click rates.

Format	CTR
Text Only	4.2%
Interactive	23.1%

A/B testing these in text blasts confirms the gap, with interactive versions excelling in employee engagement for internal comms. Align with GDPR compliance through opt-in processes and mobile optimization for best results.

Measuring Success Metrics

Chat blast KPIs focus on reply rates (12% benchmark) and conversion rates (5.2% average), far exceeding email benchmarks. While vanity metrics like open rates impress at first glance, they often mislead by ignoring true business outcomes. For instance, a high open rate means little without tracking conversions to sales or leads. Budget decisions rely on conversion tracking, which ties engagement metrics to revenue proof and ROI. Native Messenger insights fall short, offering basic delivery and reply data but lacking full funnel visibility into scroll depth or read times.

Third-party tools bridge these gaps in data management, integrating with HubSpot CRM or Google Analytics for precise attribution. Consider a retail campaign where 12% reply rates led to 5.2% conversions, generating $2.41 revenue per subscriber, dwarfing email’s 2-3% benchmarks. This shift from vanity metrics to actionable insights supports campaign reporting that informs segmentation and A/B testing for leadership messages or compliance training.

In Messenger marketing, limitations in native tools push teams toward chatbot automation platforms for channel performance analysis. Expert Dennis Yu’s attribution model emphasizes multi-touch tracking, avoiding overreliance on single metrics. By prioritizing reply and conversion rates, teams optimize text blasts and achieve superior employee engagement or frontline worker outreach compared to intranet technology or Outlook tracking.

Key KPIs and Analytics Tools

Track 8 core KPIs: Delivery (98%), Open (85%), Reply (12%), CTR (18%), Conversion (5.2%), Revenue/Subscriber ($2.41). These metrics provide ROI proof beyond email analytics, capturing engagement metrics like click rates and read times in Messenger marketing. Tools like Customers.ai offer full funnel tracking, while ManyChat provides native dashboards for quick setup. Integrate Google Analytics UTM for deeper insights into mobile optimization and personalization tokens.

Metric	Benchmark	Tool	Formula
Delivery Rate	98%	ManyChat (native)	(Delivered / Sent) x 100
Open Rate	85%	Customers.ai	(Opened / Delivered) x 100
Reply Rate	12%	ManyChat	(Replies / Delivered) x 100
CTR	18%	Google Analytics UTM	(Clicks / Opens) x 100
Conversion Rate	5.2%	Customers.ai	(Conversions / Clicks) x 100
Revenue/Subscriber	$2.41	HubSpot CRM	Total Revenue / Subscribers
Opt-in Rate	25%	Chatfuel + Zapier	(Opt-ins / Impressions) x 100
ROI	4.2x	Dennis Yu Model	(Revenue – Cost) / Cost

To set up Chatfuel with Zapier and HubSpot pixel tracking, connect Chatfuel broadcasts to Zapier triggers on replies, then push events to HubSpot for pixel firing. This enables GDPR compliance in opt-in processes and tracks B/SMS marketing conversions. Dennis Yu’s attribution model assigns value across touchpoints, ideal for A/B testing subject lines in internal comms or remote teams, as noted in HFS Research and Simpplr reports on channel performance.

Common Pitfalls and Solutions

85% of chat blast accounts get restricted within 90 days due to spam violations and poor list hygiene. These issues often stem from ignoring best practices like proper opt-in processes and data management. Brands using Messenger marketing or SMS marketing face platform penalties that halt campaigns and damage sender reputation. To avoid this, focus on compliance with GDPR compliance and CAN-SPAM rules from the start. Common errors include skipping verification steps, leading to high bounce rates and low open rates. By addressing these early, teams can maintain steady click rates and engagement metrics.

Key pitfalls involve over-messaging without caps, generic blasts ignoring segmentation, and neglecting unsubscribe options. For instance, without A/B testing timing, messages hit inboxes during low-engagement hours, dropping CTRs. Tracking errors from unverified pixels skew campaign reporting, while list decay erodes audience quality over time. Solutions demand proactive steps, such as re-engagement campaigns and pixel verification. One ecom brand fixed these by implementing two-step consent and capping sends at 4 per week, slashing restrictions by 92% and boosting ROI proof through better channel performance.

Integrating tools like HubSpot CRM for list hygiene ensures cleaner data management. Pair this with mobile optimization and personalization tokens to lift conversion rates. Monitor vanity metrics alongside business outcomes, avoiding reliance on scroll depth or read times alone. This approach turns pitfalls into opportunities for higher employee engagement in internal comms or frontline workers in external blasts.

No Opt-In: Implement 2-Step Consent

Lacking proper opt-in processes tops the list of pitfalls, exposing brands to spam flags and legal risks under GDPR compliance or CAN-SPAM. Users added without explicit permission view chats as intrusive, triggering reports that restrict accounts. A simple fix is two-step consent: first, send a welcome message with an opt-in prompt, then confirm subscription after user reply. This builds trust and complies with regulations, much like SMS marketing standards.

For example, a B2B email team using chatbot automation saw complaints drop 70% after adding this layer. Track engagement metrics via Outlook tracking or Gmail analytics to verify consent rates. Combine with segmentation for remote teams, ensuring messages reach opted-in users only. This pitfall solved boosts long-term list health and open rates.

Over-Messaging: Cap at 4/Week

Sending too frequently overwhelms recipients, causing unsubscribes and fatigue that tanks click rates. Without limits, even valuable content like leadership messages feels spammy. The solution: cap chat blasts at 4 per week maximum, spacing them for optimal channel performance. Use campaign reporting to analyze fatigue patterns and adjust.

An internal comms team applied this to intranet technology updates, maintaining high employee engagement without burnout. Monitor read times and scroll depth to fine-tune frequency. This practice aligns with HFS Research findings on sustainable messaging, preventing restrictions and supporting steady CTRs.

Generic Content: Use Segmentation

Blanket blasts with one-size-fits-all content ignore audience differences, yielding low relevance and poor engagement metrics. Pitfall avoided by leveraging segmentation based on behavior, location, or preferences. Tools like Cerkl Broadcast enable dynamic groups, personalizing via tokens for higher resonance.

A retail brand segmented for mobile optimization saw 45% higher open rates. Apply to text blasts or Messenger marketing by tailoring subject lines and offers. This drives ROI proof through better business outcomes, per Simpplr report insights on targeted comms.

Poor Timing: A/B Test Schedules

Blasting at off-hours misses peak engagement windows, wasting send volume. Solution: run A/B testing on send times, comparing metrics like click rates across slots. Analyze data from email analytics to pinpoint best windows, such as evenings for frontline workers.

Gallagher report highlights how timed tests lifted response by 30%. Factor in time zones for remote teams, refining with ongoing campaign reporting for sustained gains in conversion rate.

No Unsubscribe: Add Bottom Link

Omitting easy opt-out options violates trust and laws, spiking spam complaints. Always include a prominent unsubscribe link at the message bottom, with one-click removal. This respects user choice and maintains compliance training standards.

Brands adding this saw restrictions fall 60%, per Syniti report. Pair with confirmation replies to reinforce positive internal comms, preserving list quality for future blasts.

Tracking Errors: Pixel Verification

Faulty tracking pixels deliver inaccurate data, misleading optimizations. Verify pixels pre-send using platform tools to ensure pixel verification captures opens, clicks accurately. Cross-check with tool capabilities for reliable email analytics.

A campaign fixed tracking issues, revealing true 25% CTR uplift. This clarity aids data management, avoiding vanity metrics and focusing on real ROI proof.

List Decay: Re-Engagement Campaigns

Audience lists naturally degrade 22% yearly from churn. Combat with re-engagement campaigns: send win-back messages to dormant users, prompting reactivation or clean removal. Use personalization for higher response.

An ecom brand’s re-engagement cut decay by 50%, fueling stronger segmentation. Integrate with HubSpot CRM for automated hygiene, ensuring peak performance in chat blasts and overall engagement metrics.

Frequently Asked Questions

What are Chat Blasts and why are best practices important for Using Chat Blasts: Best Practices and Engagement Insights?

Chat Blasts are targeted, broadcast-style messages sent to multiple users in chat platforms or apps to deliver announcements, promotions, or updates. Following best practices in Using Chat Blasts: Best Practices and Engagement Insights ensures higher open rates, reduces opt-outs, and boosts user interaction by timing sends appropriately, personalizing content, and analyzing performance metrics.

How can I optimize timing when Using Chat Blasts: Best Practices and Engagement Insights?

Timing is crucial in Using Chat Blasts: Best Practices and Engagement Insights. Send blasts during peak user activity hours, such as evenings or weekends for consumer apps, and use platform analytics to identify patterns. Avoid off-hours to prevent fatigue and maximize engagement rates.

What content strategies improve engagement in Using Chat Blasts: Best Practices and Engagement Insights?

To enhance engagement with Using Chat Blasts: Best Practices and Engagement Insights, keep messages concise (under 160 characters), include clear calls-to-action, emojis for visual appeal, and personalization like user names. Test variations with A/B testing to refine what resonates most with your audience.

How do I measure success when Using Chat Blasts: Best Practices and Engagement Insights?

Track key metrics like open rates, click-through rates, conversion rates, and unsubscribe rates when Using Chat Blasts: Best Practices and Engagement Insights. Use built-in analytics tools to gain insights, set benchmarks, and iterate on campaigns for continuous improvement in user engagement.

What common mistakes to avoid in Using Chat Blasts: Best Practices and Engagement Insights?

Avoid spamming with excessive frequency, generic messaging, or ignoring user preferences in Using Chat Blasts: Best Practices and Engagement Insights. Always include easy opt-out options and comply with regulations like GDPR to maintain trust and prevent high churn rates.

How does segmentation boost results in Using Chat Blasts: Best Practices and Engagement Insights?

Segmentation tailors blasts to specific user groups based on behavior, location, or preferences in Using Chat Blasts: Best Practices and Engagement Insights. This relevance increases open and response rates by up to 30%, fostering deeper engagement and loyalty among recipients.