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This informative article consists of tables listing and explaining information land keywords and values which can be used, in conjunction with typical look providers, to narrow your research listings.

This informative article consists of tables listing and explaining information land keywords and values which can be used, in conjunction with typical look providers, to narrow your research listings.

This informative article consists of tables listing and explaining information land keywords and values which can be used, in conjunction with typical look providers, to narrow your research listings.

There are also parts explaining heightened search means and formatting

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This information is geared towards administrators and help supervisors with complete entry to the data in Zendesk assistance. In case you are a realtor, begin with researching the data in Zendesk assistance and refer back to this resource article if you would like perform more advanced online searches.

This particular article contains here subjects on advanced search strategies:

  • Search terms and language
  • Looking for characteristics that contain no information
  • Researching by time and date
  • Sorting serp’s
  • Utilizing the ‚type‘ key phrase
  • Utilizing the ‚user‘ keywords
  • Search FAQ

This information include here resource tables:

Search terms and language

Search terms

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Search terms is user-defined keywords, phrases, or principles. Examples:

  • 3245227
  • Greenbriar
  • serial number
  • „Jane Doe“

Search phrases were case-insensitive. Eg, „App“ and „app“ return the exact same results.

A single-word search term returns a consequence if it appears within the facts below:

  • a single term
  • one keyword in a longer phrase
  • the prefix of a longer keyword

The key phrase will not come back a consequence if this seems when you look at the facts below:

  • in the exact middle of a term
  • at the conclusion of a word

Like, the search phrase „best“ would fit „top“, „best tier“, „top 10 Trucking“, „Tip-Top Mops“, „Big best Entertainment“, and „treat Toppings, Inc“. It can not fit „desktop computer Solutions“ or „One-Stop Publishing“.

Residential property keywords and phrases

You’ll slim your outcomes by mixing homes keywords with search phrases and workers. Instance:

A house keyword is the term of a home in an admission, a user, a business, or a group. Examples:

  • assignee
  • developed
  • label

Notice after homes search term records for all the characteristics and information regarding each:

  • Ticket property keywords and phrases
  • User residential property keywords
  • Business belongings keywords and phrases
  • Team belongings keywords and phrases

Sample belongings hunt:

Some homes posses predefined principles. Eg, the admission position residential property gets the appropriate predefined values: brand new, open, pending, hold, solved, sealed. Possible only search by these values. Example lookup: position:open . See the house keyword sources for facts about each homes.

More residential properties recognize user-defined search phrases. Instance: subject:2fa . See Search terms. The same matching principles make an application for belongings queries apart from prefix coordinating. Answers are not returned if the key phrase appears as the prefix of a longer keyword. Eg, the key phrase „tier“ would return results for „tier 1“ and „tier 2“ although not „tiered“.

You can search for several standards of one home by such as the property key phrase many times in a question. Example:

Browse makes use of otherwise reasoning for complimentary in such a case. The previous sample comes back outcomes that contain either the label „silver“ or perhaps the label „bronze“.

Instance research

Listed here search term looks for anything together with the label „vip“ which was created before May 1, 2019:

On the lookout for qualities that have no information

This return all unassigned passes.

Searching by date and time

Day homes keyword phrases – created, upgraded, fixed, and due date) are combined with search workers to go back information from a particular big date, before a particular time, and after a particular big date. To look schedules in virtually any area, make use of the formatting YYYY-MM-DD. You may use locale-specific types particularly MM/DD/YYYY in the us.

You can even use the >= workers to suggest less-than-or-equal-to and greater-than-or-equal-to correspondingly.

Looking around with united schedules and occasions

The most important sample above looks for such a thing developed after September 1, 2015 at 12:00 p.m. (Pacific traditional energy).

The 2nd example above looks for such a thing updated before Sep 1, 2015 at 12:00 p.m. (UTC).

Researching within a date/time array

You could put specific circumstances in your research variety. The next example pursuit of things developed between August 1, 2014 at 11:59 p.m. (UTC) and August 4, 2014 at nighttime (UTC):

Searching with general circumstances

You can look for some time relative to the current opportunity, using the times models hours, mins, period, weeks, months, or years. The next look returns something created in the last four-hours:

Sorting search engine results

Utilising the order_by and type keywords and phrases is equivalent to by using the API parameters sort_by and sort_order .

Making use of the ‚type‘ search term

For API searches, among the methods available for narrowing your hunt effects will be the kind keyword. It’s used to clearly declare you want to find the next type:

  • solution
  • individual
  • business
  • cluster
  • entryway or subject (message boards)

Making use of the sort search term ensures that you will be explicitly looking around throughout the sort your establish. Including, you can look for the users that participate in the customer’s business by using this browse statement:

If you as an alternative looked for organization:customers you’d also get all of the seats having requesters which participate in this organization. It is because searches that do not explicitly specify sort return outcomes for all sorts, including tickets (and business try a ticket property).

Utilizing sort:user , your hunt returns all customers that belong to the Customers business. Very, you are narrowing your pursuit to the user kind and excluding seats.

While companies and communities become qualities of consumer object, obtained their very own residential properties that can be explored at the same time. This amazing question enables you bing search only for business labels, excluding tags of the identical identity which may be utilized in more aspects of your own Zendesk service instance such passes and forum subject areas.

With the ‚user‘ keyword

To find a person’s profile information, you’ve got the webpage soon after two selection.

For additional information concerning consumer search term and exactly how its different from the type:user search term, look at section regarding the user and type keyword phrases in Searching people, communities, and companies.

Look FAQ

  • Exactly how soon can latest data end up being explored?
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