Intro Flashcards
Attempt 1
I did all this research…x,y,z What do you want to learn about?
Attempt 2
Typically when I speak to people its usually pretty high level as in an introduction to BI and what it can do for you or they have an idea of what they are trying to do–they’ve hit limits in SF reporting and are wondering how to expand what they can do. Where do you feel xxx is?
Attempt 3
No worries. Most people I speak to are really early, like you. I bet showing you some of IS2 would help. I have 4 demo’s I can show you here–rep management, pipeline management, forecasting accuracy, and planning and analysis–which one would be most helpful to start with?
Areas for Attempt 1
IS2 engagement–CLs, marketing, conversations with other team members
Company–vertical, team size, other’s we work with in same space, similarities (VC, size, sales team, SaaS etc.)
Attendees–role, tenure, previous roles (if applicable)
Convo with BDR–
Have them agree/disagree–know this sounds pretty high level but I’m trying to determine early here what your goal is for this call so I can best make it most relevant
Agenda–
Call agenda
“So, look – I did everything that I could before the call to try and make
sure that I did a good call for you. Based on the research, I feel like
you’re exactly who we typically help. I don’t want to make
assumptions though, so can you please help me understand what
you’re working on that you think I might be able to help with?”
Pipeline: overview (expertise)
It’s great to have this conversation with you about pipeline management. A lot of our customers came to us
with the exact same issues: ”How much pipeline do we need to create each month? How can I tell if the pipeline
we’re creating is any good or not? And most importantly, how can I get more clear visibility into what’s actually
happening on those deals?” The funny thing is that the answers are somewhere in Salesforce; or at least, they
should be. But, it’s a CRM, not an analytics tool. It was designed for reps to log their opps, not for managers
to view or predict the outcomes.
Pipeline: why
The good news is, that’s exactly why we exist as a business. We partnered with SF to connect to
your instance and automatically move the work your sales team is entering in every day and turn it into the analysis you need to get more from your pipeline. We show you exactly how much pipeline you’re creating, help you calculate how much pipeline you should be creating, and give you a closer look at the opps the reps are working today. It’s why we’re here.
Pipeline: how
The way we do that is by breaking down some of the bigger challenges in reporting out of SF. We help you find the patterns in your pipeline: What does a buyer do in the sales process? What does a non-buyer do? What do my
good reps do to their deals? Where do my under performers struggle? Then, we overlay the opps your team’s currently working on with those new patterns so you can more easily spot winners from losers and give more specific action items on the deals worth chasing
Let me open up IS2 and show you what I’m talking about
Pipeline flow
I’m going to start with the Pipeline Flow screen. It’s not that I think it would solve all of your problems; it’s more to
give you a good starting point for the demo. I think showing you what we’re doing on this view will help orient you to the rest of the demo, and give you a really strong understanding on how the product gets built.
This is the ”What Happened?” report. It shows you the amount of pipeline you had at the beginning of a period,
and how much pipeline you’ve got left. Then, it helps you retrace your steps to see how you arrived. Now, in
SF, you can very easily see how many or the value of the opps set to close this month. What you can’t
really see are the trends or conversions that got you here.
We’re connecting through the API and reading the history table to give you the full story. If I started with xxx of
open pipeline a week ago, and today I only have xxxx, what happened? Well, we created new opps, we
pulled stuff in, we won deals, lost deals, and we pushed close dates out. We can connect to your instance of sfdc
today and tell you everything that ever happened every single opp your team has ever worked. That’s where the
strength of our product starts to work.
Sales funnel
Now that we’ve gotten access to the history table in sfdc, we can start to build out a series of views to help you
see what’s happening in your sales process. Our basic concept is that by better understanding what’s happened
in the past, we can help you build a more predictive and proactive process for the future.
This report is called the Sales Funnel. It’s pretty straight forward, but it’s actually really hard to create using sfdc
reports and excel. We look at every single opp you’ve ever won or lost and show you how far they made it in the
sales process. We’re exposing the bottlenecks and breaks in your sales process.
The vision is to help you figure out how likely it is for a deal you’re working on today to move forward by
analysing every deal you’ve worked in the past, and whether or not those deals moved forward.
Sales cycle
Once we’ve established how likely it is for a deal to move forward, it’s time to identify how long it takes to move
forward. So, we’ve started building out patterns for cycle times. The big question is ”If my overall sales cycle
takes xxxx days, how many of those xxxx days are spent in stage 1 v stage 2, and so on?”
Sales cycle by won vs. lost
OK, now that we’re getting a good read on what patterns a buyer exhibits, it’s time to expose the differences in
the pattern for a winnable deal v the deals you end up losing. The Sales Cycle by Won/Lost is a really good
example of that.
We’re showing you that the deals you’ve won have spent a week in stage 1 and two weeks in stage 2. Then, we’re
showing you that the deals you end up losing spend 2 weeks in stage 1 and a full month in stage 2.
Now, we’re not reinventing the wheel here. Everyone knows that time kills all deals. But, the key is ”how much
time?” and ”In what stage?” We’re going to run this kind of analysis on a bunch of different factors - sales cycle,
deal size, product, vertical, days in stage, close date pushes, etc etc and help you fully build out an understanding
of what a good, winnable deal looks like and what happens on a bad opportunity.
Pipeline today
The final screen I was planning on showing is the pay off. This is the full open pipeline you’re working with. We
take every open opp, the deals your team is currently trying to close, and we overlay that last analysis on top.
We’re exposing the good opps and the bad opps. Then we’re going to give you specific issues to try and resolve
on the good ones.
For example, here’s a deal set to close this week, but it’s been in stage 2 xxx longer than a closed won deal has
ever sat in that stage! Also, you’ve already pushed the close date out three times, and by the way, you haven’t
even talked to them once in the last two weeks!
We’re exposing the warning signs on the deals your team is working to help you better guide them, better coach
them on the action plans to win these deals.