My LinkedIn session expired or disconnected
My LinkedIn session expired or disconnected
Reconnect your account
Guhan isn't finding any prospects
Guhan isn't finding any prospects
- ICP definition is too narrow — if your Ideal Customer Profile combines many highly specific filters (for example, a very precise job title, a narrow company size range, and a specific geography all at once), there may not be enough prospects with active buying signals that match all criteria simultaneously. Try broadening one or two filters — for example, expanding the job title list or widening the company size range.
- No intent signals matching in your selected timeframe — buying signals are time-sensitive. If you’ve set a very short signal window, Guhan may not find enough matches. Go to your campaign settings and extend the signal detection window to the last 30 or 60 days.
- LinkedIn session disconnected — LinkedIn is one of the primary sources Guhan uses to detect signals. If your session has expired, signal scanning is paused. Check Settings → Channels → LinkedIn and reconnect if needed.
- Wait for a signal refresh — signal data refreshes every 24 hours. If you just launched your campaign or updated your ICP, allow up to 24 hours for the first batch of prospects to populate.
Messages aren't being sent
Messages aren't being sent
- Channel disconnected — go to Settings → Channels and verify that the channel you’re sending on (LinkedIn, Email, or WhatsApp) shows a green connected status. Reconnect any channel showing a warning or error.
- Daily sending limit reached — each channel has a daily sending limit to protect your accounts from being flagged. If you’ve hit the limit for today, sending will resume automatically at the start of the next day. You can review and adjust your daily limits in Settings → Channels.
- Campaign is paused — check your campaign status in the Campaigns dashboard. If the campaign is paused, click Resume to restart it.
- Out of credits — if your credit balance is zero, Guhan cannot research new prospects and will not initiate new outreach sequences. Go to Dashboard → Credits to check your balance and purchase a top-up if needed.
Prospects aren't receiving my emails / open rates are very low
Prospects aren't receiving my emails / open rates are very low
Check your spam folder
Reduce your daily send volume
Set up SPF, DKIM, and DMARC records
Meetings aren't appearing on my calendar
Meetings aren't appearing on my calendar
Reconnect your email and calendar
Check calendar permissions in your Google or Microsoft account
I'm running out of credits too fast
I'm running out of credits too fast
- Narrow your ICP — a tighter ICP means Guhan researches fewer prospects overall, but each one is a better fit. Higher-quality prospects also convert to meetings at a higher rate, so you get better results with fewer credits.
- Reduce the number of research briefs per day — in your campaign settings, lower the maximum number of new prospects researched per day. This spreads your credit usage more evenly across the month.
- Pause underperforming campaigns — if a campaign isn’t generating replies or meetings, pause it and redirect credits to your best-performing campaigns.
A prospect said they didn't want to be contacted
A prospect said they didn't want to be contacted
Open the prospect's profile
My campaign analytics don't look right
My campaign analytics don't look right
- Wait 30 minutes and refresh — most discrepancies resolve on their own once the data pipeline catches up.
- Check your date range filter — make sure the date range selected in the analytics view matches the period you’re evaluating. It’s easy to accidentally leave a narrow date filter active.
- Clear your browser cache — occasionally stale cached data in your browser can cause the dashboard to display outdated figures. Try a hard refresh (
Ctrl + Shift + Ron Windows,Cmd + Shift + Ron Mac) or open the dashboard in an incognito window. - Contact support if the issue persists — if analytics still look wrong after 30 minutes, email hello@guhan.ai with your account email, the affected campaign name, and the date range in question. The engineering team can investigate data pipeline issues directly.