Congrats! You've made it to the point where HG Insights is set up and scores and segmentations are flowing into your systems. Now comes the real fun: driving strong business outcomes.
Dark Launch to overcome FUD
Changing MQL rules is always a source of Fear, Uncertainty and Doubt for operators.

Introducing a complete new set of rules to the MQL logic has the potential to keep even the most intrepid of operators.
This is why we recommend using our Dark Launch methodology. As importantly, the Dark Launch allows to:
minimize risk for MOps when launching HG Insights by allowing them to iterate/adjust before exposing sales to the new MQL
provide a measured upside to pitch going live to executives and confirm that the initiative is on track for success

What is a Dark Launch?
A "dark launch" refers to a technique where a new feature or product is released to a small audience or internally, without any external promotion or marketing. The goal is to test and refine it before releasing it to the broader public. This allows for any issues or bugs to be identified and resolved before the feature or product is widely available.
By using a Dark Launch, you can run everything as if you were fully live without impacting your sales team.
Implementation
Our team is here to help you and has done this many times. The details below are to give you a sense of what is typically done but you should feel free to contact your CSM to discuss running this play with the HG Insights team.
We will use the following terminology below: MKL or HG Insights Qualified Lead to describe a lead or contact that is assigned a lead grade of A or B. The definition may vary based on your volumes.
New fields
The following fields will need to be created in your CRM and MAP.
mk_MKL_date__c: this field will store the first date at which the record matched the MKL criteria. It will be blank if the record hasn’t MKLed
This field is generally calculated upon record update
mk_MQL_reason__c: this field will store whether a record was MQLed, MKLed, both and remain blank otherwise. Values are
MQL only,MKL only,MKL & MQL,NULLThis can be calculated upon record update or it can be a calculated field. We recommend calculating upon update to keep things simple.
New Reports
1. MQL volume
In Salesforce, create a new Lead report
Title: MQL & MKL Volume
Filter on
All leads
created since Dark Launch Go Live date
MK MQL Reason ≠ NULL
Group by row: created date
Group by column: MK MQL Reason
| MQL Reason |
|
|
|---|---|---|---|
Date | MQL only | MKL Only | MKL & MQL |
week 1 | 1235 | 352 | 6783 |
week 2 | 1320 | 257 | 7064 |
Report Description: This report shows what incremental volume will be generated by incorporating MKLs into the workflow.
2. Expected Pipeline Upside Conversions
In Salesforce, create a new Lead report
Use the
Lead and Converted Lead informationreport typeTitle: MQL & MKL expected pipeline
Filter on
All leads
Created since Dark Launch Go Live date
mk_MQL_reason__c =
MKL & MQL
Group by row: created date
Group by column: Opp amount (Sum), count of leads
Date | Opp Amount | Lead # |
|---|---|---|
week 1 | $530,215 | 6,783 |
week 2 | $662,378 | 7,064 |
Report Description: This report shows what incremental volume will be generated by incorporating MKLs into the workflow.
Here it would be: => ($530,215 + $662,378) / (6783 + 7064) = $86 per MKL
Using the previous report we can expect to generate $30k of pipeline every week, or in other words $1.5M of additional pipeline annually.
=> using week 1: $86*352 (MKL only) = $30k
3. Spot-check MKLs
In Salesforce, create a new Lead report
Title: MQL and MKL Sample
Filter on
All leads
Created since Dark Launch Go Live date
mk_MQL_reason__c =
MKL only&MQL only
Create a detailed report with the following columns
Status | MK Lead Grade | MK Customer Fit Signals | MK Lead Engagement Signals | |
|---|---|---|---|---|
|
|
|
|
|
Show examples filtering on MK MQL Reason =
MKL only
This report allows reviewing records that were not caught by your existing MQL flow. It gives you the ability to check for blindspots in the MK segmentation (specific industries needing to be excluded, competitors…)Show examples filtering on MK MQL Reason =
MQL only
This report helps check for blindspots in the MK segmentation (always promote VP Marketing…) based on the existing MQL flow
New Dashboard
Add the three reports you just built into a new dashboard to have a global view of the Dark Launch.
Title: HG Insights Dark Launch