CRM Software Resources

HubSpot Sales Hub has been easy to use for managing leads in one place, tracking sales activities, and keeping up with customer interactions and follow ups. The main challenge has been that some advanced features feel expensive and certain capabilities require extra setup or paid plans. How have you decided which features are worth paying for, and what setup steps helped you get the most value?

Onboarding to SoftSync felt simple and fast, and the AI integration with MCP works well in practice. Having customer data and conversations in one place instead of scattered across inboxes and sheets has reduced manual data entry, and follow-ups are less likely to slip. For anyone else using MCP with an AI assistant, what queries or updates do you run most often, and what has been the biggest workflow improvement?

Something I keep coming back to while researching this space for a revenue team: who gets more value from an AI sales assistant, SDRs or account executives? The tools get marketed to "sales teams" as one audience, but the jobs are different enough that the answer probably isn't the same for both. SDR work is repetitive and high-volume, which is where automation shines. AE work is fewer, longer, more complex deals, where the value is more about recall and preparation. Looking at the AI Sales Assistant category on G2, the products themselves seem to split along that line.

Leaning SDR:

1. Salesloft. Built around cadence volume and prioritizing who to contact next, which is the SDR's whole day. Best for prospecting throughput.
2. GTM Workspace - Powered by ZoomInfo. Removes the list-building and research work that eats into SDR selling time. Best for top-of-funnel research.
3. Aircall. Auto-transcribes and summarizes calls so reps making dozens a day aren't writing notes. Best for phone-heavy prospecting.

Leaning AE:

1. Seismic Enablement Cloud. Surfaces the right content and prep material for a specific deal stage and buyer. Best for complex, multi-stakeholder deals.
2. Aviso. Forecasting and deal-risk signals aimed at people carrying a number, not people booking meetings. Best for pipeline and forecast accuracy.
3. Demandbase One. Account intelligence that tells an AE what's happening across a buying committee mid-cycle. Best for account-based selling.
4. 6sense Revenue Marketing. Intent data that both roles use, though AEs tend to get more from it for expansion and timing. Best for shared marketing and sales use.

My tentative read, going through this for the team, is that SDRs get more measurable value quickly, since the work is repetitive enough to automate, while AEs get value that's real but harder to prove on a dashboard. Open to being argued out of that.

For anyone who's rolled an AI assistant out to both roles, who actually kept using it after the first month? And did one group quietly abandon it?