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Author: Franz Malten Buemann
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Generating Email Campaigns Using Benchmark Email’s Smart Content
AI-generated content is everywhere. Thanks to ChatGPT by OpenAI, marketers and business owners no longer have to do it all. Small teams and business owners have so much to do, and oftentimes creating content can fall toward the end of the list. Creating content, while extremely beneficial for every component of your marketing strategy, just…
The post Generating Email Campaigns Using Benchmark Email’s Smart Content appeared first on Benchmark Email. -
10 Responsibilities as a B2B Commerce Cloud Admin
With the exponential growth of B2B Commerce, acquiring skills in this area is a great opportunity for personal development for anyone working with Salesforce. Let’s explore the essential responsibilities of a B2B Commerce Cloud administrator, one of the three main roles in managing a B2B… Read More
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Salesforce DevOps Trends Taking 2023 by Storm
The leading report on Salesforce DevOps is now live! It’s full of trends and performance data that can help Salesforce teams make the most of DevOps this year. Let’s take a look at some of the report’s key findings, including the challenges and opportunities faced… Read More
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is there any voice note automation for outreaching audience? ill pay whoever can code or found one
for instagram submitted by /u/That-Air2639 [link] [comments]
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Coming Soon: The State of Generative AI & How It Will Revolutionize Marketing [New Data + Expert Insights]
It’s almost here…
Thanks for your interest in our upcoming Generative AI report and its corresponding pillar, “The State of Generative AI & How It Will Revolutionize Marketing [New Data + Expert Insights]”.
If you’ve arrived on this page, we know our content so far has made you eager to see the full report. Check back on this same page on May 17, 2023, for our full report and corresponding blog posts.
We hope you enjoy what we’ve got in store for you!
Worried you’ll forget? Click here or below to set a Google Calendar reminder that will notify you when the report is live.Curious what’s in store? Here are a few topics we’ve got coming for you:
Data from 1,350 U.S. professionals who work in marketing, sales, and service on how they’re using AI
The coolest jobs that could be created around AI
How to train your own teams to be better than bots
How to handle AI ethics
Types of artificial intelligence and how marketers are using it
AI prompts to consider for marketers… and much, much more.
Plus, hear from leaders at Jasper AI, Mention, Rock Content, and more.
We’ll also send this content out in our Marketing Blog Newsletters, so be sure to subscribe to the HubSpot Marketing Blog by clicking the banner below and never miss a beat! -
30 Million High-Quality B2B Leads
submitted by /u/HumdrumPrincess [link] [comments]
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Load your own data into your AI assistant and automate email replies – powered by ChatGPT
Hey r/MarketingAutomation I’m excited to share the “Super Brain” feature we recently built into our Mac app – Elephas You can bring your own data, set of documents, blogs, Notion links, Obsidian or Roam databases and load it into a unique “brain”. And use it to reply to emails, chat messages and event “chat with” the document Here’s how it looks like in action – Loading a brain and replying to a support email – https://reddit.com/link/12qleo1/video/a0y11fxjymua1/player Just released this feature recently. You can watch a detailed demo here – Demo link A little backstory – I’m amazed by the power of AI and what knowledge workers can achieve using it. My friend asked me about an interesting use case. He had a ton of PDFs lying around that he needed to refer to for his work. He asked me if AI could help him get insights from those PDFs easily. And also, if he can use them in answering emails to his colleagues and customers. That’s when I got the idea for custom data sources, or the “Super Brain” feature. if you’re interested, you can try out the “Super Brain” feature on your Mac, for FREE for 30 days from this link – Elephas This feature uses a combination of Mac storage with OpenAI’s feature. Highly optimized for cost savings. I think there’s huge potential in using AI as a writing partner/assistant instead of a complete replacement for humans. That’s our goal with this feature and this tiny Mac app. I hope you find it useful. I am looking forward to your feedback. We would be happy to add new features and utilities based on your requests and suggestions. Thanks submitted by /u/ayushchat [link] [comments]
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Sprout Social: One Year On Since Social Studio Announced Sunset
It’s been just over one year since Salesforce announced an end-of-life date for Marketing Cloud’s Social Studio, the solution to create, schedule, and monitor your social media efforts. With customers having used Social Studio for a decade plus (Radian6 was acquired in 2011), an alternative… Read More
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Four-Day Workweek Update: Here’s How The Buffer Team is Feeling About It, Three Years In
Since we adopted a four-day workweek in 2020, everyone’s been jumping on the train across different industries and countries. Most notably, however – and the reason we are gathered here today – is the UK’s four-day workweek experiment that has yielded positive results. It’s also proven what we already know — that working four days a week works.Results from the largest 4-day workweek experiment ran in the UK: Productivity increased by 22%, job applications are up 88%, absenteeism is down by 66%, their carbon footprint is down with people driving less & employees are less tired and happier.92% of companies said…— DelyanneTheMoneyCoach ® (@DelyanneMoney) February 27, 2023
With the four-day workweek gaining traction worldwide, we thought it was about time to check in, yet again, with the folks working at Buffer about what it’s like to work four days a week.BackgroundWe implemented a four-day workweek experiment in May 2020 to test its effects on our collective well-being, mental health, and personal relationships.The experiment wasn’t intended to track its effects on productivity, so we set low expectations around this measurement, but we were pleasantly surprised by the results.At the time, our Chief of Staff, Carolyn Kopprasch, wrote, “…due to increased rest and reflection, many of you have shared that you felt your weekly productivity was in fact not all that different, and that your quality of work was higher while experiencing improved overall wellbeing.”We ultimately shifted to a four-day workweek through the rest of 2020 and are now approaching the three-year mark.We’ve checked in with our team several times since implementing the four-day workweek — enough to know it works. But the recent increase in interest had us thinking — what does the four-day workweek look like for us, three years in?That led us to put out a survey filled out by 53 Buffer employees (out of 78), 60 percent of whom have been working at Buffer for over three years, which is as long as we’ve been running the four-day workweek. Here’s what they had to say.Everyone loves the four-day workweekUnsurprisingly, 100 percent of survey respondents stated that they’d like to continue working remotely for the rest of their careers.This is in line with results from the UK experiment, with 90 percent of employees saying they definitely want to continue on a four-day week with no one saying they definitely don’t want to continue.Most employees — 78.8 percent — work four days a week OR five shorter days, up from 73 percent the last time we did a survey. Meanwhile, 21 percent work more than four days a week, down from 27 percent the last time we did this survey.We can infer from this that time spent working a four-day workweek has allowed each person to figure out what works best for their schedule. We can also connect this result to adjusted internal expectations for the four-day workweek.As Carolyn explains, “We have somewhat adjusted the expectations of the fifth day so that it is more of an “overflow” day if needed. This is in line with our regular flexibility, but now managers are being more explicit: we encourage teammates to work on that fifth day if they choose to or if needed, based on their workload or the team’s needs. (If it’s not needed, then the teammate is encouraged to take it off entirely as usual.) Working on the fifth day is not necessarily a failure of the system or a problem. It’s just not expected or required like in a five-day work week environment.”Burnout has no place in the four-day workweek, say 100% of Buffer teammatesWe think and talk a lot about burnout here at Buffer, so it’s encouraging to see teammates not feel burnt out working a four-day workweek. A majority, 73.1 percent, of teammates stated that they feel more energized, while 26.9 percent don’t feel particularly different.The UK experiment had results in a similar vein — 71 percent of employees had reduced levels of burnout by the end of the trial.Additionally, 99.1 percent of teammates are less stressed since they started working a four-day workweek.Measured against the trial respondents, 39 percent of whom stated that they were less stressed, this may seem like an outlier. However, it’s important to consider that Buffer is both remote and running a four-day workweek. This is likely a major factor in the decreased stress levels found among the survey respondents.Work-life balance is a major benefit of the four-day workweekMost Buffer teammates, 61.5 percent of, find it easier to balance work and life. One teammate specifically highlighted, “There is more time during normal business hours on Friday to manage the “Admin” of my personal life.”A healthier work-life balance is also reflected in the UK’s trial results, with 60 percent of trial respondents reporting an increased ability to combine paid work with care responsibilities and 62 percent reporting it was easier to combine work with their social life.The reduced workweek isn’t without its challengesWhile 65.4 percent of teammates are able to complete their work within four days, 40.4 percent feel like they can’t finish all their work in that timeframe. However, as highlighted by Carolyn, we encourage using the fifth day as an overflow day, which 61.6 percent of teammates find that they have to do most or some of the time.The downsides of operating both a remote and four-day workweek system are also reflected in the survey responses, as teammates highlight that making connections with coworkers is challenging.One respondent stated, “Remote work combined with a 4-day work week means that connection with team members sometimes takes a back seat to ensure that the work gets done.” Another shared, “You give up some of the things that aren’t core to your job but were kind of fun to do at work.”Other highlighted challenges include:Time management: “Managing my time well during the four days to account for one less day.”Overwhelming meeting schedules: “It’s near impossible to have a meeting-free day with a condensed schedule.”Feeling isolated from other teammates if you work a less common scheduleMany people use the time off for non-work activitiesThe UK’s experiment found that most people do not use their extra day off to take on paid work elsewhere. They use it for hobbies and leisure, housework and caring, and personal maintenance.The same is true at Buffer – a teammate highlighted that they use their day off for life admin, specifically mentioning that they take care of things like grocery shopping and meal prep to fully enjoy the weekend.We’ve covered how some teammates take advantage of their unique schedules – check out this article to read further.We’ll keep working the four-day workweekOverall, we’ve had an overwhelmingly positive response to the four-day workweek. The reduced schedule allows employees to focus on personal interests, hobbies, and self-care during their extra day off. Life admin is better handled during a four-day workweek — people have more time for their families and friends.We aren’t planning on moving away from a four-day workweek – we’ll keep refining our approach to ensure its success for both our teammates and Buffer as a whole. We look forward to more data on this new way to work and more companies joining us on this journey.📧Anyone is welcome to republish this data. Reach out via press@buffer.com if you have further questions.
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Essential Automation Strategies for Contact Centers
Is your contact center staying on top of advancements in AI and automation? There’s a lot to learn, but these sophisticated new tools can improve your operations in so many ways.
New KPIs offer next-level insights into operations.
Real-time agent assist helps agents understand customers’ emotions.
Chatbots and call-backs create rewarding self-service experiences for customers.Automation Strategies to Future-Proof Your Contact Center
You can lock-in easy wins by deciding to strategically deploy automation and AI in your contact center. Our new tip sheet offers three strategies to future-proof your operations and help you get the most out of these powerful new software tools.
We’ll walk you through the tools, explaining what they do and the results you can expect. We also provide technical tips about deployment and maintenance.What is Automation?
A bit of background is a great place to start. Automation is the practice of using technology (usually software) to perform time-consuming or repetitive tasks. If it’s deployed correctly, automation should significantly reduce the need for human intervention or oversight in your business.
Common Types of Call Center Automation Include
Robotic process automation (RPA)
Robotic Process Automation, or RPA, can perform simple tasks that typically make for a lot of agent busywork. These tasks include data entry, order processing, and remote agent monitoring, where a computer scans for internet outages or other workflow interruptions. Typically, these tasks are easy to program, freeing up agents to focus on work that benefits from the human touch.
Machine learning
This type of automation is usually coupled with an AI application. Machine learning analyzes data and identifies patterns which can help with everything from sentiment analysis, to predicting call volumes. It helps you streamline your operations and maximize efficiency.AI and natural language processing (NLP)
NLP and AI are intelligent technologies that can analyze conversations in real time, and offer feedback, or even suggest specific scripting to agents to help them resolve a customer’s problem.
The suggestions are based on the customer’s sentiment, which the software understands by listening to specific language used, tone of voice, gaps in the conversation and more.
Best Call Center Automation Software
Tech Talk
Call Center as a Service (CCaaS) software often comes pre-loaded with extra features, including AI and automation tools. But your package may not have the solution you need, or the solution provided may not be as effective as you would like. Look for specialized software like Fonolo’s suite of robust call-back solutions, including Web Call-Backs and Conversation Scheduling.
All software should:Deploy quickly and scale easily.
Integrate seamlessly with existing software.
Be secure and compliant with regulations.DID YOU KNOW:
IBM estimates that 80% of customer questions can be effectively answered by chatbots.Strategy #1 Empower Customers with Rewarding Self-Service
Customers love self-service. And automation tools make sure these interactions are productive and personalized. Self-service tools include:Chatbots to answer basic customer questions and direct callers to live agents if needed.
Predictive call routing connects the customer with the agent best-suited to their needs, using AI-generated behavior profiles.
Conversation scheduling keeps customers off hold during busy times and lets them book a time to receive a call-back that works for them – and you!DOWNLOAD OUR TIP SHEET NOW!
It’s 100% free, we promise!The post Essential Automation Strategies for Contact Centers first appeared on Fonolo.