Chris Strom

Principal at @ClearPivot. HubSpot specialist. We build high-impact RevOps systems on the HubSpot platform that turn marketing and revenue leaders into heroes.

[Chris Strom @cgstrom]

Why we recommend @HubSpot CMS rather than @WordPress [Part 2] ⤵️

A few weeks ago, I wrote a post about why we no longer recommend WordPress as a suitable content management system to most companies. It was very controversial!

[Chris Strom @cgstrom]

@jasonlk Oof. Marketo botching unsubscribe links is like Toyota selling a car without brakes. 😱

[Chris Strom @cgstrom]

@nwilliams030 Many of our @ClearPivot Solutions Architects are mothers who work from home part-time and have their children with them 💪

[Chris Strom @cgstrom]

@WordPress @wpengine Posts like this are insanely juvenile 👎

[Chris Strom @cgstrom]

Btw I recorded a whole podcast episode walking through how we build our HubSpot dashboards. Give it a watch or a listen!

YouTube - https://t.co/dt124i24M6

Apple Podcasts - https://t.co/G8S9bGrzkF

Spotify - https://t.co/qN85sUr82s

[Chris Strom @cgstrom]

In the past when we built HubSpot marketing dashboards, we would report on all the new contacts that came in the prior month and call it good. "Here's how many leads you got last month." But now looking back, I realized we made a big mistake: not all leads are created equal!

[Chris Strom @cgstrom]

How do you typically approach building lead gen dashboards at your company? Comment below and let me know. 👇

[Chris Strom @cgstrom]

How do you usually approach marketing attribution? I'd love to hear your approach and why.

[Chris Strom @cgstrom]

When you're dealing with a multi-year customer journey, a U-shaped or W-shaped attribution model can end up underweighting months and months of activities in the middle of the process.

[Chris Strom @cgstrom]

Give the whole episode a watch or a listen! Here are the episode links:

- YouTube: https://t.co/riGq9r4I4j

- Apple Podcasts: https://t.co/vLEOxnY6jM

- Spotify: https://t.co/1FyruhH5Mb

[Chris Strom @cgstrom]

When they do multi-touch attribution models, they usually apply equal weighting to all the events in the attribution model, rather than other weighting models like U-shaped or W-shaped.

[Chris Strom @cgstrom]

So they look at multiple different models to look at the whole journey from several various points of view. They look at more simple models like first-touch and last-touch to start with, and then they look at multi-touch models as well.

[Chris Strom @cgstrom]

Travis and his team decided that because there are so many different people, activities, and logged events happening across their whole customer journey, one single attribution model doesn't give a sufficiently full picture.

[Chris Strom @cgstrom]

Add in the fact that there are multiple people at their prospect company involved in the sale in different roles, with the accompanying natural employee turnover at the prospect company during that 3-year timeframe, and you're looking at a very complex attribution picture.