Updating the CRM at the end of the day erases the data you needed most

Updating the CRM only at the end of the day records on each activity the time when the salesperson sat down to type. At 6 p.m. the CRM looks up to date, with every field filled in. But response time, the time in each stage and the order of contacts are now calculated on a time that is not the time of the contact.

This matters when deciding which lead the salesperson should prioritize first, because the report shows a delay that may not even have existed.

What the CRM records on its own with every entry

Every activity log in the CRM carries a date and a time. The HubSpot documentation on activity properties separates two: the date the activity happened and the date it was created in the account, which is the moment it was logged.

If the salesperson logs at 6 p.m. the call made at 9 a.m. and accepts the time on the screen, for any report it happened at 6 p.m. And every funnel time indicator subtracts two of these dates, including the average cycle in revenue forecasting with funnel data.

Three numbers that go wrong with batch logging

With batch logging, the activity stays in the CRM, but the moment it happened is lost. In a hypothetical example, the lead comes in at 10 a.m., gets a call at 10:15 a.m. and only has the contact logged at 5:50 p.m.

1. Lead response time. The report shows almost eight hours of waiting for a contact that took 15 minutes. A Harvard Business Review study on online-generated leads found that most companies take a long time to make the first contact. With the wrong time, you do not know whether yours is in that group, and the measurement of lead response time by channel or salesperson inherits the error.
2. Time per stage and sales cycle. With the stage change logged at the end of the day, or the next day, the deal looks stuck for longer. The sales cycle gets longer on paper and the stage that really holds things up stays hidden.
3. Contacts until the meeting. With the day's attempts logged all together, nobody knows whether the meeting came out of the second call or after the WhatsApp message. If the lead still exists in two records, the problem of duplicate leads in the CRM adds to the time problem.

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How to spot the problem in your CRM data

The clearest sign is a spike of activities logged at the end of the workday. Leads come in and calls happen throughout the day, so logging concentrated at one time only reflects the typing routine. You can check it in one afternoon.

1. Export the activities with date and time and group them by hour of the day.
2. Compare with the time leads came in during the same period.
3. Look for blocks of activities and stage changes with the same minute.
4. If the CRM stores the activity date and the creation date, calculate the difference per salesperson.

This difference shows each salesperson's typical delay, and the check fits into the monthly data hygiene routines.

The minimum for CRM updates to happen in real time

Logging in real time works when the logging of the moment is short. According to the Salesforce State of Sales research, salespeople spend only 28% of the week selling, and much of the rest goes to tasks such as deal management and data entry. Asking for the full form after every call pushes everything back to the end of the day.

• In the moment, only the fact: type of contact, outcome and next step. Long notes can wait.
• Stage change at the moment it happens: it is what marks the cycle. It can also trigger the email cadences by sales stage , which get delayed along with it.
• What the tool already captures stays with it: email sent through the CRM and calls made with the integrated dialer usually come in with the right time.
• Late logging carries the real time: when the CRM allows it, the salesperson adjusts the activity date to the moment of the contact.

With these agreements, CRM updates keep up with the workday, and the times in the report go back to describing what the team did.

Frequently asked questions

How often should I update the CRM?

At every contact and every stage change, with a short entry. The details can come later.

Can the wrongly logged times be corrected?

Only what has a note of the real time can be corrected. The rest of the period stays marked as unreliable in time analyses.

Why does the report show a longer response time than the real one?

A common cause is that the report uses the time of the entry, and the spike of activities at the end of the day confirms batch logging.

To get the formula and a practical example of each funnel indicator, download the Laiki Metrics Guide.