Nov
30
2020
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As Slack acquisition rumors swirl, a look at Salesforce’s six biggest deals

The rumors ignited last Thursday that Salesforce had interest in Slack. This morning, CNBC is reporting the deal is all but done and will be announced tomorrow. Chances are this is going to a big number, but this won’t be Salesforce’s first big acquisition. We thought it would be useful in light of these rumors to look back at the company’s biggest deals.

Salesforce has already surpassed $20 billion in annual revenue, and the company has a history of making a lot of deals to fill in the road map and give it more market lift as it searches for ever more revenue.

The biggest deal so far was the $15.7 billion Tableau acquisition last year. The deal gave Salesforce a missing data visualization component and a company with a huge existing market to feed the revenue beast. In an interview in August with TechCrunch, Salesforce president and chief operating officer Bret Taylor (who came to the company in the $750 million Quip deal in 2016), sees Tableau as a key part of the company’s growing success:

“Tableau is so strategic, both from a revenue and also from a technology strategy perspective,” he said. That’s because as companies make the shift to digital, it becomes more important than ever to help them visualize and understand that data in order to understand their customers’ requirements better.

Next on the Salesforce acquisition hit parade was the $6.5 billion MuleSoft acquisition in 2018. MuleSoft gave Salesforce access to something it didn’t have as an enterprise SaaS company — data locked in silos across the company, even in on-prem applications. The CRM giant could leverage MuleSoft to access data wherever it lived, and when you put the two mega deals together, you could see how you could visualize that data and also give more fuel to its Einstein intelligence layer.

In 2016, the company spent $2.8 billion on Demandware to make a big splash in e-commerce, a component of the platform that has grown in importance during the pandemic when companies large and small have been forced to move their businesses online. The company was incorporated into the Salesforce behemoth and became known as Commerce Cloud.

In 2013, the company made its first billion-dollar acquisition when it bought ExactTarget for $2.5 billion. This represented the first foray into what would become the Marketing Cloud. The purchase gave the company entrée into the targeted email marketing business, which again would grow increasingly in importance in 2020 when communicating with customers became crucial during the pandemic.

Last year, just days after closing the MuleSoft acquisition, Salesforce opened its wallet one more time and paid $1.35 billion for ClickSoftware. This one was a nod to the company’s Service cloud, which encompasses both customer service and field service. This acquisition was about the latter, and giving the company access to a bigger body of field service customers.

The final billion-dollar deal (until we hear about Slack perhaps) is the $1.33 billion Vlocity acquisition earlier this year. This one was a gift for the core CRM product. Vlocity gave Salesforce several vertical businesses built on the Salesforce platform and was a natural fit for the company. Using Vlocity’s platform, Salesforce could (and did) continue to build on these vertical markets giving it more ammo to sell into specialized markets.

While we can’t know for sure if the Slack deal will happen, it sure feels like it will, and chances are this deal will be even larger than Tableau as the Salesforce acquisition machine keeps chugging along.

Nov
23
2020
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AvePoint to go public via SPAC valued at $2B

AvePoint, a company that gives enterprises using Microsoft Office 365, SharePoint and Teams a control layer on top of these tools, announced today that it would be going public via a SPAC merger with Apex Technology Acquisition Corporation in a deal that values AvePoint at around $2 billion.

The acquisition brings together some powerful technology executives, with Apex run by former Oracle CFO Jeff Epstein and former Goldman Sachs head of technology investment banking Brad Koenig, who will now be working closely with AvePoint’s CEO Tianyi Jiang. Apex filed for a $305 million SPAC in September 2019.

Under the terms of the transaction, Apex’s balance of $352 million plus a $140 million additional private investment will be handed over to AvePoint. Once transaction fees and other considerations are paid for, AvePoint is expected to have $252 million on its balance sheet. Existing AvePoint shareholders will own approximately 72% of the combined entity, with the balance held by the Apex SPAC and the private investment owners.

Jiang sees this as a way to keep growing the company. “Going public now gives us the ability to meet this demand and scale up faster across product innovation, channel marketing, international markets and customer success initiatives,” he said in a statement.

AvePoint was founded in 2001 as a company to help ease the complexity of SharePoint installations, which at the time were all on-premise. Today, it has adapted to the shift to the cloud as a SaaS tool and primarily acts as a policy layer enabling companies to make sure employees are using these tools in a compliant way.

The company raised $200 million in January this year led by Sixth Street Partners (formerly TPG Sixth Street Partners), with additional participation from prior investor Goldman Sachs, meaning that Koenig was probably familiar with the company based on his previous role.

The company has raised a total of $294 million in capital before today’s announcement. It expects to generate almost $150 million in revenue by the end of this year, with ARR growing at over 30%. It’s worth noting that the company’s ARR and revenue has been growing steadily since Q12019. The company is projecting significant growth for the next two years with revenue estimates of $257 million and ARR of $220 million by the end of 2022.

Graph of revenue and projected revenue

Image Credits: AvePoint

The deal is expected to close in the first quarter of next year. Upon close the company will continue to be known as AvePoint and be publicly traded on Nasdaq under the new ticker symbol AVPT.

Nov
18
2020
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Grouparoo snares $3M seed to build open source customer data integration framework

Creating a great customer experience requires a lot of data from a variety of sources, and pulling that disparate data together has captured the attention of companies and big and small from Salesforce and Adobe to Segment and Klaviyo. Today, Grouparoo, a new startup from three industry vets is the next company up with an open source framework designed to make it easier for developers to access and make use of customer data.

The company announced a $3 million seed investment led by Eniac Ventures and Fuel Capital with participation from Hack VC, Liquid2, SCM Advisors and several unnamed angel investors.

Grouparoo CEO and co-founder Brian Leonard says that his company has created this open source customer data framework based on his own experience and difficulty getting customer data into the various tools he has been using since he was technical founder at TaskRabbit in 2008.

“We’re an open source data framework that helps companies easily sync their customer data from their database or warehouse to all of the SaaS tools where they need it. [After you] install it, you teach it about your customers, like what properties are important in each of those profiles. And then it allows you to segment them into the groups that matter,” Leonard explained.

This could be something like high earners in San Francisco along with names and addresses. Grouparoo can grab this data and transfer it to a marketing tool like Marketo or Zendesk and these tools could then learn who your VIP customers are.

For now the company is just the three founders Leonard, CTO Evan Tahler and COO Andy Jih, and while he wasn’t ready to commit to how many people he might hire in the next 12 months, he sees it being less than 10. At this early stage, the three co-founders have already been considering how to build a diverse and inclusive company, something he helped contribute to while he was at TaskRabbit.

“So, coming from [what we built at TaskRabbit] and starting something new, it’s important to all three of us to start [building a diverse company] from the beginning, and especially combined with this notion that we’re building something open source. We’ve been talking a lot about being open about our culture and what’s important to us,” he said.

TaskRabbit also comes into play in their investment where Fuel GP Leah Solivan was also founder of TaskRabbit. “Grouparoo is solving a real and acute issue that companies grapple with as they scale — giving every member of the team access to the data they need to drive revenue, acquire customers and improve real-time decision making. Brian, Andy and Evan have developed an elegant solution to an issue we experienced firsthand at TaskRabbit,” she said.

For now the company is taking an open source approach to build a community around the tool. It is still pre-revenue, but the plan is to find a way to build something commercial on top of the open source tooling. They are considering an open core license where they can add features or support or offer the tool as a service. Leonard says that is something they intend to work out in 2021.

Nov
11
2020
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Bootstrapped Clearfind wants to cut your software spend, for a small fee

Software is eating the world, and that grub can be costly. As the market for enterprise tools and software continues to balloon, organizations are spending more and more on that software across an increasingly complicated and rapidly evolving landscape.

That’s where Clearfind comes in.

Clearfind was founded (and bootstrapped) by James Layfield and Jocelyn Simons. The startup aims to provide clarity and transparency to organizations looking to buy enterprise software. Over the past two years, Clearfind has been building out its backend, which is a mix of machine learning and humans, to distill a software offering down to its features.

When clients join the Clearfind platform, they give the startup access to their backend through integrations with products like Sage, Quickbooks, SAP, etc. so that Clearfind can take a look at their overall software spend. CIOs or CTOs can then see if there are any redundancies in their current software suite. These executives can also input the use case they’re looking to solve and Clearfind will deliver a detailed report on which SaaS products have the features to solve for it.

Before Clearfind, this process could be incredibly manual or costs tens and sometimes hundreds of thousands of dollars through a consultancy. And even then, those consultants may likely be recommending the products that have paid for top placement, not necessarily the best fit.

Image Credits: Clearfind

Clearfind makes money by charging 1.2 cents per dollar of annual software spend. The company says that it usually reduces spend by about 30 percent for most of the companies it works with by helping them optimize their software ecosystem and eliminate redundancies.

Clearfind also generates revenue through referral fees that come from search within Clearfind. Layfield and Simons were clear that vendors can not pay to influence search results or for placement on the Clearfind front-end, but rather pay for the leads that come through. These fees vary from vendor to vendor.

“When a vendor gets a lead from us, they prioritize it because it’s the most qualified lead they’ll ever get,” said Layfield. “That vendor will know everything. about the buyer and that the buyer is looking for all the criteria their product meets, and how much the buyer is willing to pay. That’s a level of qualified lead that just does not exist.”

Layfield explained there is an even more important reason for vendors to pay a referral fee, which is the implied LTV of a Clearfind lead. A customer that actually wants and needs the product, and the features it provides, is far less likely to churn.

Clearfind isn’t alone in the space. YC-backed Vendr, which is already profitable, is also looking to reduce SaaS spend and Intello, which doesn’t just give a view of software in use but also includes a compliance component.

Nov
10
2020
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IBM CEO Arvind Krishna wants to completely transform his organization

When IBM announced it was spinning out its infrastructure services business last month, it was surely a sign that the company was going all in on hybrid cloud. Today in an interview with Jon Fortt at the CNBC Evolve summit, IBM CEO Arvind Krishna made it clear that his whole focus is going to be on transforming his organization into a hybrid cloud management vendor moving forward.

That means that instead of trying to primarily sell its own infrastructure or software services — although it will continue to do that — it will concentrate on leveraging Red Hat, the company it bought for $34 billion in 2018, to help customers manage their hybrid environments regardless of location. That could be on prem or it could be with any of the public cloud providers or anything in between.

Krishna sees this acquisition as a key part of the transition strategy to capture what he estimates is a trillion dollar opportunity in the hybrid cloud management market, and he believes his company is well-positioned to grab a piece of that. “The Red Hat acquisition gave us the technology base on which to build a hybrid cloud technology platform based on open-source, and based on giving choice to our clients as they embark on this journey. With the success of that acquisition now giving us the fuel, we can then take the next step, and the larger step, of taking the managed infrastructure services out. So the rest of the company can be absolutely focused on hybrid cloud and artificial intelligence,” Krishna told CNBC.

While he recognizes that Microsoft and Amazon are powerful players in the public cloud, he doesn’t see them as competitors, so much as partners in this new approach. In fact, mixing in a broad variety of third party partners is a big part of this.

“I look at both Microsoft and Amazon as likely partners in this journey, not as being the one and two [in market share]. In the hybrid world the question is where does the client want to decide where the workload runs? They could run it on Amazon. They can run on Microsoft. They can run it on IBM or they can run it on premises,” he said.

He believes that Red Hat can be the glue to hold this environment together and let customers have a single way of managing this complexity. The key question for IBM is whether customers see IBM and by extension Red Hat, as the key vendor for this role.

He recognizes that this isn’t just about adding and subtracting technology pieces. When it comes to transforming the way you do business in this way, it requires a massive cultural shift, one we saw Satya Nadella pull off when he took over as CEO at Microsoft in 2014. Much like Nadella, Krishna was promoted from within. He understands how things operate and that he needs to change the way things have traditionally been done at Big Blue if he’s going to succeed.

“I’ve talked a lot internally about a growth mindset, and about being much more entrepreneurial. And we can be entrepreneurs, even within large companies. But it comes from having extreme focus. So when we provide the focus of being focused on hybrid cloud and artificial intelligence, which I believe are the two fundamental forces, then you say how do you unlock everybody being able to go after that,” he said.

That’s going to be the big key for him moving forward as transforming a company the size of IBM is going to be a tremendous challenge for him as a leader. As Fortt pointed out, IBM salespeople are used to focusing on IBM products. This approach means they have to look at the market much more broadly, and that requires a new mindset. It will be up to Krishna to lead the way and make sure that his employees are on the same page about this. The success of this approach depends on that.

Nov
02
2020
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Leena AI nabs $8M Series A as it expands from chatbots to HR service platform

When we covered Leena AI as a member of the Y Combinator Summer 2018 cohort, the young startup was firmly focused on building HR chatbots, but in the intervening years it has expanded the vision to a broader HR policy platform. Today, the company announced an $8 million Series A led by Greycroft with help from several individual industry investors.

Company CEO and co-founder Adit Jain says that in 2018 the company was concentrating on building an intelligent virtual assistant for HR-related questions. It allowed employees to ask the bot questions like how many vacation days they have left or what holidays they have off this year.

Over the last couple of years since leaving Y Combinator, the company has moved into broader HR service delivery. “So I’m talking about having an intelligent case management, knowledge management and document management system, which is backing the virtual assistant as well,” Jain explained.

He says that users should think of it as an entire system where the chatbot is the user interface for employees to interact with the HR information on the back end. For example, he says that the knowledge management component is where the chatbots find the answers to questions, and as employees interact with the chatbot, it grows more intelligent based on the feedback from them.

The document management piece enables HR to write or import HR policies and the case management system comes into play when the situation is too complex for the chatbot to handle and it has to be escalated to a human HR representative.

When we spoke to Jain in September 2018 at the time of his startup’s $2 million seed round, he had 16 customers and hoped to have 50 in the next 12-18 months. Today the company has 100 enterprise customers with 300,000 employees using the platform worldwide.

In fact, the pandemic has fueled business with more than half of those customers coming on board this year. He says this is because companies are looking for ways to digitize processes like HR as employees are working from home more.

“This is a trend that’s going to continue as organizations have realized the value of doing things with more and more digital applications taking care of your processes […] especially mundane, repeatable tasks being handed over to technology more and more,” Jain said.

As the business has grown this year, the company has expanded from 30 to 75 employees and he hopes to double that number in the next year. As he does, he has discussed with his lead investor how to build a diverse and inclusive culture at Leena AI .

One thing he is trying to do is raise some money from a diverse group of investors, approximately $400,000, and his hope is that these diverse investors can help him build solid diversity programs as he adds employees to his growing company.

That the startup hasn’t only grown during these turbulent times, but thrived, shows that companies are looking to modernize every part of the enterprise technology stack, and that includes HR.

Oct
28
2020
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Kandji hauls in $21M Series A as Apple device management flourishes during pandemic

Kandji, a mobile device management (MDM) startup, launched last October. That means it was trying to build the early-stage company just as the pandemic hit earlier this year. But a company that helps manage devices remotely has been in demand in this environment, and today it announced a $21 million Series A.

Greycroft led the round, with participation from new investors Okta Ventures and B Capital Group, and existing investor First Round Capital. Today’s investment brings the total raised to $28.4 million, according to the company.

What Kandji is building is a sophisticated zero-touch device management solution to help larger companies manage their fleet of Apple devices, including keeping them in compliance with a particular set of rules. As CEO and co-founder Adam Pettit told TechCrunch at the time of his seed investment last year:

We’re the only product that has almost 200 of these one-click policy frameworks we call parameters. So an organization can go in and browse by compliance framework, or we have pre-built templates for companies that don’t necessarily have a specific compliance mandate in mind.

Monty Gray, SVP of corporate development at Okta, says Okta Ventures is investing because it sees this approach as a valuable extension of the company’s mission.

“Kandji’s device management streamlines the most common and complex tasks for Apple IT administrators and enables distributed workforces to get up and running quickly and securely,” he said in a statement.

It seems to be working. Since the company’s launch last year it reports it has gained hundreds of new paying customers and grown from 10 employees at launch to 40 today. Pettit says that he has plans to triple that number in the next 12 months. As he builds the company, he says finding and hiring a diverse pool of candidates is an important goal.

“There are ways to extend out into different candidate pools so that you’re not just looking at the same old candidates that you normally would. There are certain ways to reduce bias in the hiring process. So again, I think we look at this as absolutely critical, and we’re excited to build a really diverse company over the next several years,” he said.

Kandji - Zero Touch Deployment

Image Credits: Kandji

He notes that the investment will not only enable him to build the employee base, but also expand the product too, and in the past year, it has already taken it from basic MDM into compliance, and there are new features coming as they continue to grow the product.

“If someone saw our product a year ago, it’s a very different product today, and it’s allowed us to move up market into the enterprise, which has been very exciting for us,” he said.

Oct
27
2020
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Lightyear scores $3.7M seed to digitize networking infrastructure procurement

Lightyear, a New York City startup that wants to make it easier for large companies to procure networking infrastructure like internet and SD-WAN, announced a $3.7 million seed round today.

Amplo led the round with help from Susa Ventures, Ludlow Ventures, Mark Cuban, David Adelman and Operator Partners. While it was at it, the company announced that it was emerging from stealth and offering its solution in public beta.

Company CEO and co-founder Dennis Thankachan says that while so much technology buying has moved online, networking technology procurement still involves phone calls for price quotes that could sometimes take weeks to get. Thankachan says that when he was working at a hedge fund specializing in telecommunications he witnessed this first hand and saw an opportunity for a startup to fill the void.

“Our objective is to make the process of buying telecom infrastructure, kind of like buying socks on Amazon, providing a real consumer-like experience to the enterprise and empowering buyers with data because information asymmetry and a lack of transparent data on what things should cost, where providers are available, and even what’s existing already in your network is really at the core of the problem for why this is frustrating for enterprise buyers,” Thankachan explained.

The company offers the ability to simply select a service and find providers in your area with costs and contract terms if it’s a simple purchase, but he recognizes that not all enterprise purchases will be that simple and the startup is working to digitize the corporate buying process into the Lightyear platform.

To provide the data that he spoke of, the company has already formed relationships with over 400 networking providers worldwide. The pricing model is in flux, but could involve a monthly subscription or a percentage of the sale. That is something they are working out, but they are using the latter during beta testing to keep the product free for now.

The company already has 10 employees and flush with the new investment, it plans to double that in the next year. Thankachan says as he builds the company, particularly as a person of color himself, he takes diversity and inclusion extremely seriously and sees it as part of the company’s core values.

“Trying to enable people from non-traditional backgrounds to succeed will be really important to us, and I think providing economic opportunity to people that traditionally would not have been afforded several aspects of economic opportunity is the biggest ways to fix the opportunity gap in this country,” he said.

The company, which launched a year ago has basically grown up during the pandemic. That means he has yet to meet any of his customers or investors in person, but he says he has learned to adapt to that approach. While he is based in NYC, his investors are are in the Bay Area and so that remote approach will remain in place for the time being.

As he makes his way from seed to a Series A, he says that it’s up to him to stay focused and execute with the goal of showing product-market fit across a variety of company types. He believes if the startup can do this, it will have the data to take to investors when it’s time to take the next step.

Oct
26
2020
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DataFleets keeps private data useful and useful data private with federated learning and $4.5M seed

As you may already know, there’s a lot of data out there, and some of it could actually be pretty useful. But privacy and security considerations often put strict limitations on how it can be used or analyzed. DataFleets promises a new approach by which databases can be safely accessed and analyzed without the possibility of privacy breaches or abuse — and has raised a $4.5 million seed round to scale it up.

To work with data, you need to have access to it. If you’re a bank, that means transactions and accounts; if you’re a retailer, that means inventories and supply chains, and so on. There are lots of insights and actionable patterns buried in all that data, and it’s the job of data scientists and their ilk to draw them out.

But what if you can’t access the data? After all, there are many industries where it is not advised or even illegal to do so, such as in healthcare. You can’t exactly take a whole hospital’s medical records, give them to a data analysis firm, and say “sift through that and tell me if there’s anything good.” These, like many other data sets, are too private or sensitive to allow anyone unfettered access. The slightest mistake — let alone abuse — could have serious repercussions.

In recent years a few technologies have emerged that allow for something better, though: analyzing data without ever actually exposing it. It sounds impossible, but there are computational techniques for allowing data to be manipulated without the user ever actually having access to any of it. The most widely used one is called homomorphic encryption, which unfortunately produces an enormous, orders-of-magnitude reduction in efficiency — and big data is all about efficiency.

This is where DataFleets steps in. It hasn’t reinvented homomorphic encryption, but has sort of sidestepped it. It uses an approach called federated learning, where instead of bringing the data to the model, they bring the model to the data.

DataFleets integrates with both sides of a secure gap between a private database and people who want to access that data, acting as a trusted agent to shuttle information between them without ever disclosing a single byte of actual raw data.

Illustration showing how a model can be created without exposing data.

Image Credits: DataFleets

Here’s an example. Say a pharmaceutical company wants to develop a machine-learning model that looks at a patient’s history and predicts whether they’ll have side effects with a new drug. A medical research facility’s private database of patient data is the perfect thing to train it. But access is highly restricted.

The pharma company’s analyst creates a machine-learning training program and drops it into DataFleets, which contracts with both them and the facility. DataFleets translates the model to its own proprietary runtime and distributes it to the servers where the medical data resides; within that sandboxed environment, it grows into a strapping young ML agent, which when finished is translated back into the analyst’s preferred format or platform. The analyst never sees the actual data, but has all the benefits of it.

Screenshot of the DataFleets interface. Look, it’s the applications that are meant to be exciting. Image Credits: DataFleets

It’s simple enough, right? DataFleets acts as a sort of trusted messenger between the platforms, undertaking the analysis on behalf of others and never retaining or transferring any sensitive data.

Plenty of folks are looking into federated learning; the hard part is building out the infrastructure for a wide-ranging enterprise-level service. You need to cover a huge amount of use cases and accept an enormous variety of languages, platforms and techniques, and of course do it all totally securely.

“We pride ourselves on enterprise readiness, with policy management, identity-access management, and our pending SOC 2 certification,” said DataFleets COO and co-founder Nick Elledge. “You can build anything on top of DataFleets and plug in your own tools, which banks and hospitals will tell you was not true of prior privacy software.”

But once federated learning is set up, all of a sudden the benefits are enormous. For instance, one of the big issues today in combating COVID-19 is that hospitals, health authorities, and other organizations around the world are having difficulty, despite their willingness, in securely sharing data relating to the virus.

Everyone wants to share, but who sends whom what, where is it kept, and under whose authority and liability? With old methods, it’s a confusing mess. With homomorphic encryption it’s useful but slow. With federated learning, theoretically, it’s as easy as toggling someone’s access.

Because the data never leaves its “home,” this approach is essentially anonymous and thus highly compliant with regulations like HIPAA and GDPR, another big advantage. Elledge notes: “We’re being used by leading healthcare institutions who recognize that HIPAA doesn’t give them enough protection when they are making a data set available for third parties.”

Of course there are less noble, but no less viable, examples in other industries: Wireless carriers could make subscriber metadata available without selling out individuals; banks could sell consumer data without violating anyone in particular’s privacy; bulky datasets like video can sit where they are instead of being duplicated and maintained at great expense.

The company’s $4.5 million seed round is seemingly evidence of confidence from a variety of investors (as summarized by Elledge): AME Cloud Ventures (Jerry Yang of Yahoo) and Morado Ventures, Lightspeed Venture Partners, Peterson Ventures, Mark Cuban, LG, Marty Chavez (president of the board of overseers of Harvard), Stanford-StartX fund, and three unicorn founders (Rappi, Quora and Lucid).

With only 11 full-time employees DataFleets appears to be doing a lot with very little, and the seed round should enable rapid scaling and maturation of its flagship product. “We’ve had to turn away or postpone new customer demand to focus on our work with our lighthouse customers,” Elledge said. They’ll be hiring engineers in the U.S. and Europe to help launch the planned self-service product next year.

“We’re moving from a data ownership to a data access economy, where information can be useful without transferring ownership,” said Elledge. If his company’s bet is on target, federated learning is likely to be a big part of that going forward.

Oct
22
2020
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Customer experience and digital transformation concepts are merging during the pandemic

Customer experience and digital transformation are two terms we’ve been hearing about for years, but have often remained nebulous in many organizations — something to aspire to perhaps, but not take completely seriously. Yet the pandemic has been a forcing event for both concepts, thrusting the ideas front and center.

Suddenly startups that help with either of these concepts are seeing rising demand, even in a year with an overall difficult economic climate. If you are fortunate enough to be helping companies digitize a process or improve how customers interact with companies, you may be seeing increased interest from customers and potential acquirers (and this was true even before this year). A case in point is Twilio acquiring Segment for $3.2 billion recently to help build data-fueled applications to interact with customers.

Even though building a positive customer experience has never been completely about digital, at a time where it’s difficult to interact with customers in person, the digital side of it has taken new urgency. As COVID-19 took hold this year, businesses, large and small, suddenly realized the only way to connect to their customers was digitally. At that point, digital transformation became customer experience’s buddy when other ways of contacting one another have been severely limited.

Pandemic brings changes

Just about every startup founder I talk to these days, along with bigger, more established companies, talk about how the pandemic has pushed companies to digitally transform much faster than they would have without COVID.

Brent Leary, founder at CRM Essentials, says that the pandemic has certainly expedited the need to bring these two big ideas together and created opportunities as that happens. “The coronavirus, as terrible as it has been in so many ways to so many people, has created opportunities for companies to build direct-to-consumer (D2C) digital pipelines that can make them stronger companies despite the current hardships,” Leary told TechCrunch.

The cloud plays a big role in the digital transformation process, and for the last decade, we have seen companies make a slow but steady shift to the cloud. When you have a situation like we’ve had with the coronavirus, it speeds everything up. As it turns out, being in the cloud helps you move faster because you don’t have to worry about all of the overhead of running a business critical application as the SaaS vendors take care of all that for you.

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