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Business organisation leaders empathize that data is the critical middle of growth and expansion. It's the genesis of thousands of downstream processes and millions of actions.

But there's data, and and then there's information.

It'due south not difficult to detect data: a company name and telephone number, employee count, revenue, maybe direct punch numbers and email addresses, chore titles. Only long, complicated sales cycles need more only names and numbers.

What Is Sales Intelligence?

Sales intelligence is the utilize of information collection and software to aid salespeople in lead generation, creating an ideal customer profile, information quality management, and more than.

Marketing and sales intelligence data is dynamic, which is to say oft and continuously refreshed. It includes context like conclusion-makers, organizational reporting structure, financials, budgets, year-over-year growth, company initiatives, personnel moves, installed technologies (the "tech stack"), and predictive features – all in well-nigh real-time.

This is data too. But B2B intelligence gets more than intelligent by the twenty-four hours (that would be machine learning, predictive intelligence, and other dimensions) – in addition to simply growing the database. But a lot of marketing, sales, and recruiting professionals don't know how much data has changed over the past few years!

Why Sales Intelligence? And Why Now?

Upwardly until recently, B2B organizations viewed data as a means to execute (contact data) and then empathize how to ameliorate operation. Sales intelligence eliminates the demand for a "wait and see arroyo."

Consequently, measuring sales productivity is predicated on whether a business development team operated at the epicenter of effectiveness and efficiency while prospecting. But when used strategically, data can drive insights into who, how, when, and why people brand ownership decisions. The more information business development teams know most prospects, the meliorate they can tactically arts and crafts outreach that cuts through the noise and conveys true value.

But complex B2B sales cycles demand more than just names and numbers. Staying on top of an ever-irresolute addressable market requires proactive intelligence that is frequently and continuously refreshed and brings prospects direct to a sales team'south workflow.

This is where sales intelligence comes in. Instead of having the information to execute and and then retroactively finding areas for improvement, sales intelligence combines avant-garde prospect data with existent-time ownership signals that empower business development teams to connect with the right buyer, at the right time.

We commissioned Forrester Inquiry to find out more. In the subsequent report, B2B Sales And Marketing Intelligence Solutions Drive Improved Business concern Outcomes, Forrester'southward written report found companies that had implemented a B2B sales and marketing intelligence solution reported that they realized 35% more than leads in their pipeline and 45% higher-quality leads leading to higher revenue and growth.

More leads? Yeah! More pipeline? Yes, you read that right too. Permit's dive deeper into everything Sales Intelligence.

Read on to see how data has evolved to drive specific business organisation functions and bulldoze revenue in iii chief areas.

Information Quality & Direction

You just caused a list of names, phone numbers, and e-mail addresses. Time to plan your next marketing campaign or outset prospecting into your top accounts!

JUST KIDDING. You've been in sales and marketing long enough to know it'due south never quite that like shooting fish in a barrel.

You know a lot of those phone numbers are probably incorrect, that many of those email addresses will likely bounce considering people change jobs and then frequently. You know a lot of target prospects don't really take those job titles. The horrors of bad lead lists are endless.

The struggle is real.

Are you new to sales and marketing intelligence… or not certain why you should care?

Our start stop on nosotros'll have a deep dive into side by side-level data quality and direction.

How Do You Measure out Data Quality?

Nosotros like DAMA U.k.'southward six parameters for data quality:

  • Abyss: Is the company, contact, or prospect record as complete every bit possible?
  • Uniqueness: Are there indistinguishable records? Can records exist combined?
  • Timeliness: Is the data fresh? Has information technology been recently confirmed?
  • Validity: Does the information conform to a common syntax? (due east.g. "ave." vs. "avenue")
  • Accuracy: Is the information correct?
  • Consistency: Is the data presented in a way that is the aforementioned as similar records?

While ensuring data quality is the responsibleness of a good data provider, ultimately the end user is affected – plus everyone involved downstream, such as prospects.

At the very least, sales and marketers demand to know whom to telephone call and how to achieve them.

Fifty-fifty more valuable are insights into potential opportunities, such as planned projects, purchase initiatives, and predictive insights about topics or solutions of interest that tell you who is ready to buy, and when.

What Is Data Quality, and Why Is It Important For Sales and Marketing?

You may retrieve that a motivated sales squad can hands comport manual data mining by searching job titles and company info via Google or LinkedIn.

This is a valiant undertaking; however, information technology is ultimately extremely time-consuming for anyone who's chief objective is booking demos or closing business concern.

A. Sloppy Databases Are a Waste of Time

How many contacts, notes, and valuable pieces of information are in your CRM or marketing automation tool? (If you're not certain, just check your bill: Almost CRM companies charge by the record.)

You rely on it to pull lists, look up contacts, runway opportunities, and more. But xxx% of that data goes bad each year. If your intel isn't up to par, it will sabotage your processes and results – and you're paying for it anyway.

The unmarried failure in an otherwise successful sales or marketing approach is often bad data.

This is a huge trouble for businesses of all shapes and sizes. We're talking high bounce rates, irrelevant messaging, and time wasted calling wrong numbers or contacts who no longer work with the visitor. No affair how groovy your copy or lift pitch may be, it's worthless if you can't reach anyone.

Bad data is a glace gradient to multiple points of failure:

ROI numbers become skewed. That's bad news for marketing decision-makers who increasingly track marketing-contributed ROI equally a primary KPI.

Content has misaligned messaging, distributed to the incorrect audience (or no audience at all). A proven method of ruining bounciness-rate KPIs is getting blacklisted, and earning notoriety as a sender of irrelevant SPAM.

Sales calls the wrong people or reaches a gatekeeper, where they volition ultimately get turned away or brainstorm the wearisome process of calling up the chain.

B. Burned by Churn

Data is what information does, and solid business intelligence provides ensures y'all don't get burned by churn.

"Churn" – or high employee turnover – is a part of life in the technology and services space. Part of data quality and management is keeping records updated, and so that when employees quit and move around, as they practice – you can still email and dial with confidence.

Not only do you have to worry nearly the churn at your target accounts, y'all need to worry most internal churn. If your team of marketers or salespeople are working with bad information and constantly hitting expressionless ends, how long practice you lot think they will continue to be excited about what they are doing?

They will become burnt out on using crap data, in turn, not helping them realize their actual potential in setting quality meetings or generating qualified leads. It's a vicious bike that never moves beyond cleaning up bad data.

C. Data Quality Vs. Quantity

When you are trying to make a sale or influence someone to consider your production or service, who do you want to achieve? An account executive or a CRO? A marketing coordinator or a CMO?

Consistent, accurate data can be segmented to a level of particular that allows you lot to create a specific, personalized message – for prospects who tin can make buy decisions. Intelligence helps you weed through the names and target the decision maker, finer shortening the sales process.

A huge book of names in a database doesn't mean much if those contacts don't accept purchasing power. They're merely contributing to a larger haystack – and brand the needles harder to find.

Four C-level contacts are more than valuable than 12 individual contributors.

D. Systematizing Database Hygiene

Your data needs more than than to sit in a database collecting dust. It needs to be dynamic. It should menstruum in and out of sales and marketing systems, forming a data feedback loop. Information technology needs to fuel, non hinder, your efforts.

Many intelligence platforms integrate with other tools in your sales technology stack – your CRM, marketing automation, sales development, applicant tracking systems, and more than – making the handling of your information more efficient and synergistic.

Expect for tools that automatically sync, append, enrich, and de-gull your data every bit new information becomes available and your database grows. Automating these functions ensures a make clean, quality baseline and saves a lot of time.

A Data-Based Ideal Customer Contour

Marketing and sales intelligence also shapes an accurate ideal customer contour – central slice of business development.

For many companies, the ideal client profile (ICP) is anecdotal, or based on the stance of the leader.

If you ask a sales leader who they sell to, they'll offer a few fundamental titles, maybe a couple of industries. They might have a company size in mind. You'll become different answers from dissimilar people across the squad, because the thought of a "target buyer" is inconsistent, nebulous, and oft based on hunches and feelings – not data.

Intelligence allows you to finding companies that await like your ICP in order to quantify your total addressable marketplace. Then yous can focus your sales and marketing efforts where it will matter.

Business relationship-Based Strategy Requires a Solid ICP

Any sales and marketing-aligned account-based play is going to crave a skilful platonic customer profile.

Indeed, the showtime stride in business relationship-based plays is to identify target accounts: understand who you lot're targeting, both in terms of accounts and contacts. You can then have a deliberate, thoughtful approach to prospecting into those accounts and contacts.

The ICP can generally refer to both the ideal company and the ideal heir-apparent:

A traditional ICP (standard CRM fields)

  • Department
  • Level
  • Role
  • Industry
  • Size
  • Location

Sales intelligence layers in:

  • Technologies
  • Intent data
  • Business model
  • Buying

Mostly, the opportunity for account-based strategy arises once a company reaches a certain level of maturity.

Many startups and small-to-midsized businesses (SMBs) don't know enough about their target market place to know where their niche is and strengths are. At some point, they determine they demand to know more almost their buyers.

It's impossible to practice that without having meaningful data to prioritize those efforts.

You tin't "boil the ocean." You lot have to start somewhere. An ICP is that starting point.

During our commencement account-based experiment, we turned the photographic camera on ourselves! Spotter our iv-part true story of Account-Based Everything:

Note: DiscoverOrg acquired ZoomInfo in 2019.

When, Where, and Who Your Prospect Wants to Buy

One time y'all've identified the "who," if you have good data, the residuum of the processes falls in identify: Who is this customer, and what practise they need to hear from me, the vendor? What's the best format for this messaging? When should I reach out?

Skip the tedious inquiry, and skip the guesswork:

  • You lot know what is on their radar:
    • A problem that needs a solution
  • You lot know who to call:
    • The decision maker and associated influencers
  • Yous know how to reach them:
    • Their direct dial or email address
  • You lot know what to say:
    • Address their pain point or problem.

If your prospect could do good from a little more nurturing, marketing can transport messaging or collateral that is on-point and relevant to whatever challenge the prospect faces.

At present when sales takes the reins, that cold telephone call will suddenly be a whole lot warmer.

Sales Intelligence in Lead Generation

Acquiring new business and company growth go hand in hand. Many companies and organizations have entire teams dedicated to uncovering insights for new business prospects.

Whiles="textannotation"> there are many different kinds of atomic number 82 generation – content marketing, ad, SEO, email campaigns,="urn:enhancement-bb84e4bc-1926-426c-828d-a8a1f9ec80a6″ class="textannotation">cold calling, list-buying, hosting events, and attending trade shows, merely to proper noun a few – a sales and marketing intelligence tool is great for discovering new, quality leads, speedily, as well as enhancing your other lead-gen efforts.

This comes in handy when trying to maintain a pipeline of leads all year long! Sales intelligence is disquisitional for a consequent pipeline of leads.

Plow Events into a Pb-Gen Opportunity

A business cannot solely rely on inbound leads to abound and thrive. Sales must go on the phones, attend events, and find leads the "outbound" way also.

At trade shows and events, some sales professionals collect as much contact information every bit possible. The more names, titles, and companies they've logged, the better.

More information isn't necessarily a bad thing (except when it is), just it's not really possible to determine the strength of a pb, or whether the account is worth the time to follow up and win, without some kind of intelligence tool.

How to Prospect at a Trade Testify with Sales Intelligence

Trade shows one a very effective style to find a lot of leads – fast. It'southward also arguably one of the most expensive. Good business concern intelligence is critical in this high-stakes function.

The ZoomInfo outcome team leverages intelligence before, during, and later on the trade show or other result – and they meet a very high rate of return.

Hither are a few ways sales and marketing intelligence contribute to pb generation at events:

The trade testify or conference itself may be the central hub of activity – but the demand-gen squad uses information technology as an opportunity to drum upwards business organization.

Say, for example, you lot're sponsoring a sales development conference in San Francisco. Some potential lead gen opportunities could include:

  1. Host a related result: Get-go by looking at the conference roster and at social media to run across who else volition exist there – PLUS companies who have a nearby office and aren't going to the briefing. Then invite them to attend the conference or offer an on-site role visit from ane of your reps.
  2. Create and target a list of good fits: Consider which sales reps are they likely to send – probably an SDR Manager who's local to the upshot – then segment the list past area of responsibleness, by the rep's geolocation (non the headquarter location). From in that location, build targeted contact list and arts and crafts a super-specific message, written just for them. Be sure to reach out to these clients and prospects before the show.

At this signal, you don't have to hope your message volition resonate. You know it volition.

Y'all can also line up pre-bear witness and mail service-show activities: happy hours, on-site visits, dinners, coffee, follow-up meetings with prospects and clients alike. Since you lot invested in the price of the result, plus the cost of sending our sales rep there, you'll want to accept advantage of every opportunity.

After the show, it's time to address that stack of business cards that the sales rep brought back. Scan the names and email addresses into Excel, then employ a sales intelligence platform to lucifer email domains to companies in our database.

In ZoomInfo, you can see where that contact fits into the larger organization and see if there's a better contact to prospect to.

Y'all at present have a very articulate picture of who to engage with, and how to engage with them!

Follow the Org Chart to the Correct Leads

Sales intelligence frequently includes an org chart: A visual map of a company's reporting structure. This lets sales teams see the one person with whom they spoke for 30 seconds at an result, AND the entire department of peers – as well as their office and hierarchy within the organization!

Graphic depicting ZoomInfo's org charts.
Example of an org chart in ZoomInfo.

Think of that stack of business cards you lot brought dorsum from your latest event. Are the people you spoke with determination-makers or budget holders? Probably non … but how practice yous connect the dots?

Why is this important? If 1 effect lead goes dark, it's not a dead-cease; sales can follow the reporting structure to pursue those who take the signing authority.

A sales intelligence tool like ZoomInfo tin can take the name or email accost of the person you lot met and find additional contacts at that aforementioned company who should be on your radar – plus other data from the database to enrich the pb.

Null beats face to confront interaction, and when you can leverage those new relationships to go in front of the budget holders at target accounts information technology helps boost your credibility.

The Role of AI in Sales Intelligence

Artificial Intelligence (AI) aids immensely in the sales procedure. Motorcar learning tools help salespeople boost pb volume, quality, and close rates, and tin can automate and augment much of the sales process — giving sales reps the time to focus on closing deals.

Let's start off with the basics, though — what is AI and how exactly does information technology help with the sales process?

AI can be hard to ascertain considering it incorporates and then many different functionalities, and it works more every bit an umbrella term that covers a host of different technologies including automobile learning, calculator vision, natural language processing, and deep learning. Ultimately, we can retrieve of AI equally helping machines perform specific cognitive tasks.

It's not unthinkable that this kind of technology tin can be useful in the sales process — in fact, top-performing sales teams are four times more likely to use predictive analytics and AI to broaden how they sell. Beneath are some key ways that AI is used in the sales procedure.

  • Building a pipeline: AI tools can find new leads within a database.
  • Pb scoring: AI tools can rank leads as well as plan personalized engagements.
  • Automate and augment tasks: data capture and sales call analysis can be automated and augmented with AI, allowing salespeople to focus on more of import, lead nurturing tasks.
  • Predictive forecasting: AI is incredibly useful for predicting outcomes using historical information every bit a mode to inform hereafter results. Some things that can be determined using predictive forecasting are i) deals or prospects about probable to shut, 2) deals or prospects to target next, and 3) new customers that may be interested in the product/service.
  • Adept Recommendations: AI systems can actually recommend certain sales actions based on historical data, and tin can suggest sales teams on which deportment make the most sense.

Competitive Intelligence at the Right Time

In real estate, the mantra is location, location, location.

Sales and marketing professionals know this well. The perfect solution and admission to the perfect prospect ways nothing if the timing isn't also perfect.

We may not know exactly what keep an private target prospect upwards at dark.

Only if we know that her company's Manager of It Infrastructure recently left; that she declined to renew a contact with their current cloud storage provider; that the #1 web search at her company is for "information security" … Well, we tin brand an educated guess!

Intent data tin too alert you when a competitive contract is nigh to expire. Intent data oftentimes includes a sure measure out of auto learning and/or bogus intelligence that may include an assay of historical or other data to provide context and more accurate predictions.

This data is gold. Fiscal timelines are a key gene in winning deals.

Sales intelligence is simply an affluence of accurate, curated information that integrates well with other systems. It helps B2B sales, marketing, and recruiting professionals make an informed, well-timed arroyo to solve a real buyer problem.

At the end of the day, sales intelligence is really simply human intelligence.

Sales Intelligence Must-Haves

What is the information that is really going to help salespeople and marketers achieve the ultimate pipeline experience?

Existent sales intelligence annotation">should give you information both about an individual contact and their respective company. One without the other is like a motorcar with no wheels—kind of pointless, and not likely to get you to where you demand to go.

1. Prospect intelligence

At the very basic level, your sales intelligence needs to include accurate and updated data about potential customers, including:

  • Contact information
  • Job function
  • Direction level
  • Organizational charts
  • Professional person certification
  • Academic and employment history

2. Tech Stack Data

One of the nearly effective – and undervalued – ways of prioritizing sales accounts is using the sales technology stack: The tech stack is the combination of software products that comprise a company's installed technologies.

The tech stack includes such basics equally email platform and the operating organization, as well as your database, apps, and programming languages. ZoomInfo includes integrated sales, marketing, and recruiting technologies such as Salesforce, Frontspin, Outreach, Bullhorn, and Marketo.

And then why is tech stack data important to sales and marketing leaders? …And why the sooner the meliorate in the sales bicycle?

A. Identify Opportunity.

The answer is surprisingly uncomplicated: Many companies take no opportunity to sell into an account unless a specific technology is nowadays.

For example, a salesperson could non sell on-premise data centre technologies to someone who only uses AWS. You would not sell Apple accessories into a company that only uses Windows PCs.

Often, installed technologies – or lack thereof – brand or interruption an opportunity.

B. Targeted Displacement Campaigns

Using competitive intelligence, marketing can direct targeted deportation campaigns toward decision makers:

  • Challenge thotation">eastward effectiveness of the current competitor engineering in place.
  • Invite decision makers and influencers to an upshot.
  • Differentiate your offer from your contest.
  • Outset a targeted email drip campaign to go on your company top of mind.

C. A Timely Talking Signal

Integration with a prospect's tech stack is a bang-up talking point. A competitor's lack of integration is a also slap-up talking signal. The presence – or absenteeism – of a technology is always an opportunity for a sale.

If your offering integrates with your prospect's tech stack, it's not a matter of whether a prospect tin utilize a solution like yours: They can, and they do.

Knowing where your contest is installed creates an automated prospect.

Sophisticated intelligence providers include data about the technology stack of target accounts. ZoomInfo has several integrations, proprietary technologies, and methods of collection that profile over eight million technology pairings in the categories of Enterprise Applications, Hardware/OS/Systems Environment, Virtualization, Security, Networking, and many more.

True sales intelligence includes installed engineering data.

3. Intent data:

Agreement prospects' and competitors' technology stack is important – only it's intent data that prompts timely outreach.

If sales and marketing intelligence is a Maslow'due south Bureaucracy of Needs, intent data is at the very tippy-top:

  1. Fit data is the main, basic requirement: The right contact at the right visitor.
  2. Opportunity information means favorable atmospheric condition, such as a funding event or a new CXO.
  3. Intent information is near-realtime information about a prospect's intent, such as a flurry of web searches, or multiple content downloads on a detail topic.
Graphic-fit-intent-opportunity

Intent and Opportunity data are hallmarks of sales intelligence, and they're non function of a standard, raw information offer. Intent data is an interpretation of implied pain points, and it provides a stark advantage against a competitor: timing.

four. Real-time alerts:

Unlike people, technology doesn't need to accept breaks and can monitor other contacts and companies in existent-time. This means you can be informed about buying signals equally soon equally they happen, like product launches, funding rounds, changes to executive leadership, and much more than. Since sales is all about timing, this kind of information can permit you to become to a prospect before someone else does.

v. Robust integrations:

Critical intelligence is only as good as to where — and how — it'southward delivered. Sales intelligence is no dissimilar, providing fundamental integrations into mutual sales applications (e.g. Client Human relationship Management (CRM), Sales Automation tools, etc) and prospecting environments (company websites, social media platforms, etc).


Often Asked Questions

A roundup of mutual question on the various types of sales intelligence and how to use them to improve your sales & marketing functions.


What is sales intelligence software?

At that place is a wide range of sales intelligence software to choose from, merely they all serve the aforementioned purpose: integrating sales intelligence information in gild to make information technology more accessible and convenient to salespeople.

The pop review site, G2, defines sales intelligence every bit software that "helps companies use internal and external information to increase and amend sales processes. Companies use sales intelligence software to better the quality and quantity of sales leads by using data to find new opportunities and provide salespeople with the information they demand to accept advantage of them.


What'due south the best sales intelligence tool for B2B lead generation?

Equally of its latest rankings release, the G2 Grid for Sales Intelligence Software ranked ZoomInfo as its highest-rated solution currently available in the marketplace.

Per G2, scores related to products and vendors are "based on reviews gathered from our user community, also equally data aggregated from online sources and social networks. Together, these scores are mapped on our proprietary G2 Grid, which you tin can use to compare products, streamline the buying process, and quickly identify the all-time products based on the experiences of your peers."


What is concern intelligence?

There isn't necessarily a articulate line that divides business intelligence and sales intelligence. The two are connected and intertwined and ultimately geared towards resolving business issues, providing insights, and informing time to come decisions. And in a lot of ways, sales intelligence can be classified as a course of concern intelligence.

So what exactly is business organisation intelligence, and why is information technology then often conflated with sales intelligence? Business intelligence can be thought of as the combination of business analytics, information mining, data visualization, and other data tools. Essentially, business intelligence is when you take a comprehensive understanding of an system's data, and so using that information to bulldoze change, or respond to market changes.

BI uses software and services to transform information into actionable intelligence that informs an system's strategic and tactical business organisation decisions. They then present this data in things like reports, summaries, dashboards, graphs, charts, and maps to provide users with intelligence about the state of the business organization. Concern Intelligence can be understood every bit being focused on real-fourth dimension data and current insights.


What are common ownership signals sales intelligence provides?

  • Fit data: Fit data includes all the unlike ways of segmenting and scoring prospects and accounts, aka technographic and firmographic information. This kind of information includes things such equally
    • Job level
    • Location
    • Tech stack
    • Size of visitor/acquirement
    • Industry
    • Upkeep
  • Intent data: Online beliefs-based activity across the net and internal web properties that identify buyers and accounts through capturing consumption and interest.
  • Opportunity data: Opportunity data, like fit and intent, signal favorable weather within an organization that indicate information technology could potentially be in the marketplace for a given solution. This includes data like new funding, moves, and milkshake-ups in the C-suite, mergers, and acquisitions, or even new office openings.

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