How lean demand gen teams
crush hostile pipeline goals?

≋Stream≋ A new way to fuel pipeline with best-fit accounts that are ready to buy NOW. Built for lean revenue teams that aim to punch above weight class.

Not Using ≋Stream≋?

Calculate Lost Revenue

What exactly is ≋Stream≋?  

Why traditional B2B "account list" is sitting on ticking time bomb?

53% of B2B revenue teams miss revenue goals in 2021. Root cause includes bad pipeline, that leads to less MQL >> SQL, dropping account closure rates, painfully long sales cycle.

Top decile demand gen teams know that old school techniques of attacking entire TAM or "AccountList" just doesn't work.
Timing is everything.

Enter Stream
Stream consists of account in your TAM, that show most promising buying signals in this month. Stream can fill up pipeline with your TAM accounts that are urgency-stuck and show buying signals NOW.

What exactly is Stream?  

How is it different from a traditional B2B prospect list?

Age old B2B Prospect Lists are sitting on ticking time bomb. Revenue professionals agree that old school techniques of carpet bombing entire "List" is a recipe for missing revenue goals. 

It is critically important to locate best-fit accounts that are in hyperactive buying cycle and connect through at-scale-personalization. All without wasting countless hours.

Enter Stream

Stream is like B2B prospect list but for reimagined for 2021. Stream is built on foundation of ABM and Intent based marketing.

Features of best in class Revenue Engine

[Snippet] How buying signals are leveraged?

Build pipeline and improve the speed and quality of a engagement based on buying signals.
Identify and leverage situationally aware, relevant messaging suggestions in the context of the revenue workflow.
Use signals for guidance into which accounts or contacts to engage, when to engage them and what messaging to use.
Read here

Find accounts that show buying signals

Weaponising "Buying Signals" in building Pipeline?

Top percentile demand gen teams understand criticality of “Timing” and leverage buying signals.
Following the same playbook, stream enables you to find the accounts showing buying signals.

One Power App that puts demand gen team on Steroid

Stream can fill up revenue pipeline with best-fit accounts that are urgency-stuck and show buying signals.

How Stream puts revenue workflow on steroid?  

Through one app discover accounts, identify buying committee, take personalised notes at scale, and capture direct mobile number of decision makers. Save countless hours of grunt research work. Invest those in crushing revenue goal.

24x7 Hawk eye on your TAM?

Only 10% of your TAM will be in purchase journey this month.
Stream those best fit 10% accounts that show buying signals. These accounts result in best MQLs that translate to meetings, faster closure and fastest sales cycle. Everything that your CEO or Board look for.

Personalize

When did you last respond to a mass blast email campaign or scripted cold call? Stand out in front of decision makers with personalised insights: mention their authored content, webinar they spoke, post they engaged, companies recent milestones and many such points. Capture personalised insights at lightning fast speed. Hours saved in taking notes in hours added in prospecting.

Score and qualify

Not all accounts same. Instead of wasting time on low score titles/accounts, focus on high score ones. Those have best likelihood of converting. Similarly not all titles are same. Titles in buying panel can consist of your buyer, user, finance approver, gatekeeper, champion. Score each prospect and accounts so that later you can prioritize.

Find Work-From-Home Contact

GlowRadius's Deep Inspection mail offers real time validated email id with confidence score and helps you prevent 40% emails go waste (with catch all domain). All emails are real time validated given job changes are at all time high. Find personal mobile number of the decision makers who work from home

Let your ABM not just bark but bite

Do the way top 1% revenue teams does

1
Find less, sell more
Spot accounts that are clone of your best fit and are in active buying cycle. Spend less time on discovery/admin, more on sales
2‍
Personalize at scale and pro
Cutthrough the noise in front of decision makers with personalized insights: Capture notes at lighting fast pace.
3‍
Say No to stale data
Sell fast in Work-From-Home world using up-to-date mobile numbers of decision makers. Opt in for real time validated data

Get started in 3 simple steps

Step 1

Which recently appointed exec in your TAM, is looking for vendor?

The humans of data are diverse: analysts, engineers, business, product, scientists. With their own tooling preferences, skillsets and DNA. When these diverse people come together and collaborate
Step 2

Which recently appointed exec in your TAM, is looking for vendor?

The humans of data are diverse: analysts, engineers, business, product, scientists. With their own tooling preferences, skillsets and DNA. When these diverse people come together and collaborate
Step 3

Which recently appointed exec in your TAM, is looking for vendor?

The humans of data are diverse: analysts, engineers, business, product, scientists. With their own tooling preferences, skillsets and DNA. When these diverse people come together and collaborate
Step 4

Which recently appointed exec in your TAM, is looking for vendor?

The humans of data are diverse: analysts, engineers, business, product, scientists. With their own tooling preferences, skillsets and DNA. When these diverse people come together and collaborate

So what? What revenue metrics improved ?

How Stream helps improve critical KPIs that define success of revenue teams

Garbage MQL that doesn't drive meeting

Solve the garbage MQL problem that don’t translate into booked meetings. Using Stream, locate buyer that have highest likelihood of buying from you - NOW

Prohibitively expensive LinkedIn Ad?

LinkedIn paid campaign can be expensive and still not generate good meetings. Audience built on "In market" warm accounts, lead to better qualified meetings.

Sub 40% response rate in cold reach out?

If your outreach is untimely, you may be spamming. Best in class outreach campaign often need target accounts with buying intent and have urgency.

Using same LinkedIn or ZoomInfo data like everyone else?

Most of your competitors are using same standard filters such as Size, Industry, Headquarters. Ability to track in market accounts puts you on fast lane

Declining win rate or deal velocity impacting growth rate?

Timing is everything. Win rate falls when you prospect accounts that don’t have buying need now. Fit accounts in buying journey have highest rate of closing 

Who is Leap program based suited for?

Struggling with shrinking MQL.
CAC becoming prohibitively high.
Want to focus on accounts inn active buying cycle and clone of ICp.
Not enough resource to absorb and take action on "intent" data.
Want to scale up MQL without recruiting a huge team.
Difficulty in establishing demand gen team's revenue impact.

Spot the difference  Old way Vs New way

How top percentile teams use signals for building pipeline?

Ability to locate important events and signals in TAM, unlocks untapped opportunities

​​How Chorus AI uses signals such as new executive churn in pipeline playbook?

Becc Holland explains how layering executive churn and your alumni customer list can leveraged for building pipeline and new opportunity
Read more

How Lemlist leverages job description to trace buying signals and start conversation?

Guillaume and team find unique job posting based signals to locate new opportunities and leverage the insights to strike personalized conversations
Read more

How Gorgias leverage 10,000 SMB data to uncover signals and build pipeline?

Romain and team leverage TAM data and enrichment to find unique patterns. These act as navigator in determining which accounts to attack
Read more

How Pandadoc leverages buying signals such as leadership changes?

PandaDoc identifies signals such as department growth, alumni customers, tool usage to trace buying window and prioritise accounts
Read more

How Chilli Piper uses alumni customer resignation in pipeline?

How layering executive churn and your alumni customer list can be leveraged for building pipeline. This becomes lethal as exec churn is all time high
Read more

​​How Metadata leverages non traditional data signals and filters in building pipeline?

Metadata has unique ways of layering filters and different signals, that creates unique insights and use that to build targeted lists
Read more

Featured Analysis - McKinsey Insight on Account Intelligence

McK insights on account intelligence for building top percentile revenue capability

How best teams dominate market using signals and data intelligence?
How teams use grannula data signals to stay ahead of competition?
Revenue teams with account-specific customer intelligence have fastest rate of revenue growth
Read here

The TL;DR version

Not using Stream?

Calculate Lost Revenue

Discovering best fit accounts that are in hyperactive buying cycle is hard. Stream makes it a whole lot easier and quicker.
You hit revenue goals predictably without stress, hope and prayer.  

Stream is built on foundation of ABM and Intent based marketing.
Best suited for lean revenue teams, ready to punch above weight class

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