Social Media Operations Workflow

Publishing and engagement begins by centralizing every client's connected social accounts into PostEverywhere and Hootsuite, connecting account credentials once so future posts can be uploaded a single time and distributed across every destination channel per client.

Structure the underlying weekly cadence using PostPlanify, organizing available slots by client, channel, and week before any specific content is assigned. A draft skeleton entry might follow this structure:

{
  'client': 'example_client',
  'week': 1,
  'channel': 'example_channel',
  'slots': ['Monday', 'Thursday']
}

For any connected accounts not fully covered by your primary scheduling setup in PostEverywhere or Hootsuite, use Publer to fill remaining channel gaps, ensuring every client's platforms have a confirmed publishing path. Where a specific channel benefits from a rolling content queue rather than fixed calendar slots, configure Buffer for that channel instead.

Once posts are live, monitor incoming comments and messages through Hootsuite's connected inbox for each client account, confirming every published post has an assigned point of engagement coverage before moving to the next scheduling cycle. Review the full cross-client calendar weekly to confirm no account has an unscheduled gap.

Listening and analytics begins by pulling post-publish performance and interaction data from Sprout Social and Hootsuite across every client account, exporting engagement metrics by channel and content theme over the reporting period.

Check Brand24 for brand mentions occurring outside each client's owned channels entirely, since a spike or dip in external conversation can meaningfully explain owned-channel performance that would otherwise appear unexplained when viewed in isolation. Set up tracked keywords per client covering brand name, product names, and common misspellings.

Cross-reference the internal performance data against Metricool's competitor benchmarking for the same period, distinguishing genuine underperformance from a broader industry-wide shift affecting every account in a given client's niche simultaneously.

Feed all three data sources into ChatGPT, prompting it to synthesize the combined findings into a structured performance summary per client and specific recommendations for the next cycle, such as which content themes to scale and which posting cadence to adjust. A useful prompt is: 'Summarize this performance, competitor, and mention data into three specific recommendations for this client's next content cycle.'

Advertising and advocacy acts on the findings from Stage 2 by extending top-performing content through paid and advocacy channels. Start by identifying organic posts significantly outperforming baseline engagement directly within Hootsuite's performance view, using this as the qualifying criteria for paid amplification rather than promoting content based on assumption.

Once a qualifying post is identified, feed its theme, audience data, and messaging into AdCreative.ai to generate multiple ad creative variants optimized for conversion, rather than simply boosting the original organic asset unchanged.

For advocacy campaigns — such as encouraging employees or partners to reshare content — use Simplified to batch-produce supporting visual assets at volume, keeping a consistent brand look across every advocacy-focused post without a separate design pass per participant.

Schedule the finalized advocacy content using PostPlanify, tying each scheduled post back to the original top-performing organic asset that inspired it, so the connection between the original content and its extended reach remains traceable through the entire advertising and advocacy cycle.

Compliance and agency scaling closes the loop for agencies managing multiple client accounts under varying regulatory requirements. For clients in regulated industries requiring documented response handling, route sensitive or compliance-flagged conversations through LivePerson, ensuring every regulated interaction follows a consistent, auditable response process rather than being handled ad hoc by whichever team member is available.

Configure ActivePieces automation flows connecting publishing status, engagement alerts, and compliance checkpoints across the full client roster. A minimal flow configuration might look like:

{
  'trigger': 'compliance_flag_raised',
  'action_1': 'route_to_liveperson',
  'action_2': 'notify_account_manager'
}

Build a second ActivePieces flow that triggers a notification whenever a scheduled post or advocacy piece requires additional client sign-off before publishing, preventing a compliance-sensitive asset from going live without the appropriate review step completed.

Maintain the master cross-client staging and publishing queue in PostEverywhere, giving agency leadership a single consolidated view across every account's publishing status, compliance flags, and engagement coverage, rather than requiring a separate login and manual check for each individual client account.