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Inside sales has grown exponentially since 2020. According to SalesLoft, the market has advanced 300% faster than traditional sales 鈥� a trend that shows no sign of slowing down.

It鈥檚 easy to see why. When businesses transition to a virtual approach, they鈥檙e able to sell seamlessly to their buyers, at a lowered cost. In fact, companies with sales teams dominated by inside reps have a .

With an immense amount of change in such a short time, businesses need to adapt to survive, now more than ever. In this blog, we explore five key trends for the future of inside sales, and our predictions for the progression of the sales market.

All evidence points toward a continued shift to inside sales. From 2017 to 2019 the industry saw a 6% average transition to remote work from field sales, . That means, as field sales representatives left outside roles, they weren鈥檛 replaced with a like-for-like candidate. Their role was repackaged as an inside sales position.

In 2021, that shift increased to a staggering 33%.聽You鈥檇 be forgiven for believing that the COVID-19 pandemic initiated the decline of the field sales approach, because it鈥檚 true 鈥� to an extent.

The pandemic removed the option for field selling and forced sellers to work remotely. It was a necessity 鈥� not a choice. What wasn鈥檛 predicted about that sharp increase until more recently was the longevity. Currently, , working on a hybrid, flexible or agile basis.

An even higher percentage of CFOs want to retain that model due to the cost efficiencies and benefits in recruitment and retention. Working inside extends reach, meaning teams can be built nationally or even across the globe.

Buyers have been moving toward digital for the last decade. Through the power of the internet, they鈥檝e become self-sufficient in researching purchasing decisions.

There鈥檚 no longer an expectation for the 鈥渢raveling salesman,鈥� wine-and-dine experience. Modern buyers expect a seamless, digital, customer-first experience. One that鈥檚 entirely on their terms. This virtual approach to selling has become second nature in B2B sales, just as e-commerce has boomed in B2C.

This isn鈥檛 a new phenomenon 鈥� or even entirely due to the impact of COVID. Business buyer behaviors tend to follow consumer buyer behaviors. In fact, 2020 data from Mckinsey suggested . The universal truth is, customers 鈥� whether at home or at work 鈥� want to buy online.

The only difference between B2C and B2B behaviors is convenience. At home, buyers take a credit card and purchase. It isn鈥檛 that simple yet in business terms. Whether due to business purchasing procedures or procurements, the digital sales process causes a lag. B2B buyers are rarely armed with a company credit card. The majority of purchases go on an invoice, then through a statement of work or contract.

But, as the shift to home working grows, it鈥檚 only a matter of time before this changes. That whole process is what takes time to catch up. Not the buyer behavior, which is already in place. It鈥檚 their ability to demonstrate it in the workplace that takes longer.

Remote sales forces are now a reality. That doesn鈥檛 just impact the nature of selling, but also buying. Clients, prospects, buyers aren鈥檛 all office-based anymore. You can鈥檛 visit them at their home and expect to make a sale sitting on their couch. Just as 54% of employees want to work from home, the same can be said of buyers. They鈥檙e also employees of a company.

Contact ability through media has evolved dramatically. Just as marketing firms have powered their results through intelligent tech and artificial intelligence, inside sales has quickly followed suit.

Now, business intelligence is more powerful, meaningful and accessible than ever. A wide range of plug-and-play customer relationship management (CRM) systems like Salesforce have become widespread across the FT100 and small startups alike. Sales software developers are investing more time and effort into the creative side, and AI has had a huge part to play in that.

Leading software brands are investing heavily in tools that quantify prospecting and engagement. By way of example, Intonation AI tracking has become invaluable for sales teams, but this intelligence is now starting to move into visual engagement and visual interaction.

Looking ahead, we can only expect machine learning and AI to improve interactions between customers and inside sales teams. This could be through automation, data management or even engagement analytics. If you鈥檙e not considering how you can use your tech stack to enhance customer interactions, you鈥檙e already behind.

According to , 80% of SaaS buyers say the buying process is cumbersome. There are too many steps. It鈥檚 too complicated. There鈥檚 too much paperwork. We鈥檝e heard it all before.

B2B buying is only now catching up to the digital behaviors B2C buyers are accustomed to. In fact, recent research by CEB鈥檚 Marketing Leadership Council shows B2B buyers complete

With rich research potential at their fingertips, buyers know what they want 鈥� and where to get it. Not only does this naturally shorten the sales cycle with an expected increase in inbound inquiries, it also makes the investment into CX and lead qualification a critical part of capacity planning.

In the early days of sales and marketing, each discipline would be held accountable for their own targets. Activity, connection and success metrics for sales teams. Traffic and lead source for marketing.

Today, with the omnichannel approach to buying/selling, marketing has a huge role to play in the sales cycle. Without a shared idea of what success looks like and how to measure it, there鈥檚 no alignment for business goals.

Typical 鈥渕arketing-specific鈥� channels such as social media, web and content are ever-improving as lead generation resources. The fact that 60% of the B2B buying cycle is completed independently by the buyer is due to the strength of marketing, and the resources available to the consumer.

Future lead generation efforts will likely be dictated by combined efforts from successful inside sales and marketing. They will attract and engage prospects on their terms, whether that鈥檚 by phone, email, SMS or other new social selling channels like TikTok.

Now, more than ever, sales and marketing teams need to foster better collaboration to ensure they are both accountable for the same end-goal. The only way to achieve that is to be open and honest about goals and results from the onset.

In inside sales, 鈥渢he riches are in the niches.鈥� Those who personalize their prospecting outreach always see a better return on effort. When you approach prospecting too broadly and try to appeal to everyone, the opposite happens. You end up resonating with no one.

There鈥檚 a huge amount of research and money invested in improving sales tools 鈥� from lead capturing and CRM all the way through to AI and engagement data. These tools are now far better at sourcing, quantifying and displaying human behavior.

Human behavior isn鈥檛 about filling in surveys anymore. It鈥檚 about considering the way prospects respond to specific sales channels and activities through tonality analysis and visual interaction. The difference today is that human data is being combined. It鈥檚 less about the group you鈥檙e selling to and more about the person. Not just personalized around their job title either. Personalized around the human being sold to.

Armed with rich data about each buyer, sales reps can shorten the time it takes to prospect effectively. This saves wasted energy on chasing the wrong leads, and maximizes genuine pipeline opportunities. Equally, as buyers expect personalization to become an inherent part of B2B outreach, it will eventually become second nature for sellers. It鈥檚 worth investing in the right tools to enable personalization, before your business is left behind.

The 鈥渦ncertainty鈥� of the inside sales industry is a myth. With logical research and assessments of current market trends, business leaders and sellers can monitor the direction of the market, and prepare for it. The proof is all in the data.

If you鈥檙e monitoring an industry trend, create a data source for that. Your assumptions are nothing without quantification. Experimentation is also critical. Assign a portion of your headcount to messaging experimentation and test your assumptions 鈥� there鈥檚 absolutely no value in rolling out unverified hunches.