The purpose of this analysis is to assess the leading contributors behind healthy partners. We want an ordering of which factors contribute most to the likelihood of a partner renewing with us.
Recommendations:
Notes about the data:
We’ve selected this subset of the data because it is the most complete set of data we have and the N is still relatively large.
Most of the drops thus far are in the Regional Private segment.
| AccountSegment | n | Drops | Renewal |
|---|---|---|---|
| Regional Private | 19 | 5 | 74% |
| 4 Year Other | 6 | 2 | 67% |
| Large Public & Private | 9 | 2 | 78% |
| 2 Year | 5 | 1 | 80% |
| International | 2 | 1 | 50% |
| Selective | 11 | 1 | 91% |
| K-12 Independent | 2 | 0 | 100% |
| Regional Public | 15 | 0 | 100% |
Most of the drops are coming from the Essential product type.
| VT_Type | n | Drops | Renewal |
|---|---|---|---|
| Platinum | 24 | 1 | 96% |
| Essential | 19 | 8 | 58% |
| Premium | 17 | 2 | 88% |
| Pending | 4 | 0 | 100% |
| Active | 3 | 0 | 100% |
| NA | 2 | 1 | 50% |
Most of your drops are in the 0, 1 impact interaction bucket.
| Total_II | n | Drops | Renewal |
|---|---|---|---|
| 0 | 16 | 4 | 75% |
| 1 | 6 | 3 | 50% |
| 2 | 11 | 1 | 91% |
| 3 | 11 | 2 | 82% |
| 4 | 15 | 0 | 100% |
| 5 | 3 | 1 | 67% |
| 6 | 4 | 0 | 100% |
| 7 | 1 | 0 | 100% |
| 9 | 1 | 1 | 0% |
| 11 | 1 | 0 | 100% |
Most of the drops did not have CIF activated yet, were slotted for July.
| CIF_Launch_Status | n | Drops | Renewal |
|---|---|---|---|
| Ad-Hoc Launch | 1 | 0 | 100% |
| Wave 1 | 12 | 1 | 92% |
| Wave 2 (Form Upgrade) | 15 | 2 | 87% |
| Wave 3 (Both Segments) Candidate | 4 | 1 | 75% |
| Wave 3 (Form Creation) Candidate | 3 | 0 | 100% |
| Wave 3 (Form Upgrade) Candidate | 27 | 5 | 81% |
| NA | 7 | 3 | 57% |
The number of live locations seems to be a pretty important indicator. Most of the drops bunched into partnerships with a single live location.
| Live_Locations | n | Drops | Renewal |
|---|---|---|---|
| 0 | 2 | 0 | 100% |
| 1 | 51 | 9 | 82% |
| 2 | 10 | 2 | 80% |
| 3 | 3 | 1 | 67% |
| 6 | 2 | 0 | 100% |
| 9 | 1 | 0 | 100% |
Most of the partners have not been listed with an AAP Launch Status. Almost all of the drops in the NA bucket, which is a bit meaningless as this point.
| AAP_Launch_Status | n | Drops | Renewal |
|---|---|---|---|
| Beta | 1 | 0 | 100% |
| Wave 1 | 5 | 0 | 100% |
| Wave 2 | 2 | 0 | 100% |
| Wave 3 | 7 | 0 | 100% |
| Wave 4A | 5 | 1 | 80% |
| Wave 5 Candidate | 11 | 0 | 100% |
| NA | 38 | 11 | 71% |
A lot of the missing data is in the NA bucket. However, we can see that for those partners where we have data, whether there was an increase of visits to the site is not diagnostic of renewal.
| YoY_Visit_Vol | n | Drops | Renewal |
|---|---|---|---|
| 0 | 22 | 2 | 91% |
| 1 | 35 | 2 | 94% |
| NA | 12 | 8 | 33% |
Similar Situation to Visit Volume. It doesn’t seem to be the case that Inquiry volume change is diagnostic the decision to renew or not.
| YoY_Inquiry_Vol | n | Drops | Renewal |
|---|---|---|---|
| 0 | 37 | 3 | 92% |
| 1 | 20 | 1 | 95% |
| NA | 12 | 8 | 33% |
We see that not all impact interactions are equal.
Marketing is the most correlated with a renewal. However, going forward, 100% of partners will get this type of impact interaction with a go-live. Therefore, this is confirmatory for the strategy, but will not be diagnostic going forward.
Proving Value is the check-in call and making sure a partner gets this touch is important, as it is the second highest correlation with renewal.
Furthering is related to upsell and is therefore not a controllable impact interaction. Instead, it occurs when partners are already happy.