BDP Data allows you to pull stats data direct from BDP to an Excel document where it can be manipulated and presented in any way you choose. You will be asked for a username and password before accessing the data: these are your standard BDP user credentials.

The following data categories are available:

Per Case Data:

With this functionality you can pull information for the properties you have in bdp including the properties’ master data, fees, notes of interest counts, viewings count, home report requests count and generated traffic if available.

Example URL: https://reporting.bdphq.com/poutput/rssfeed/&uacc=xxx&stattype=pStats&output=html where XXX is your BDP firm ID

Parameter Value Notes
&uacc= 123 bdp firm id. Contact customer support if you need help finding this.
&stattype= pStats Type of stats, in this case pStats (property stats/ per case data)
&output= html html which gives a basic html table for quick view, or csv for csv download, or json for json

Besides the core parameters above you can add further filtering options which are provided in the link below.

Other parameters listed here can be used to further filter the results.

Aggregated data

With this functionality you can pull information about different states and events regarding your account and even split these up into individual users, their roles and number of involvements . These include appointments (valuations) as well as property status changes (marketed, accepted offers, sold, withdrawn, backtoMarket, entryDate set). The numbers are calculated by counting the number of events attached to the user and role.

Example URL: https://reporting.bdphq.com/poutput/rssfeed/&uacc=xxx&stattype=aggStats&output=html where XXX is your BDP firm ID

Parameter Value Notes
&uacc= 123 bdp firm id. Contact customer support if you need help finding this.
&stattype= aggStats Type of stats, in this case aggregated
&output= html html which gives a basic html table for quick view, or csv for csv download, or json for json
&fromDate= 20022015 “From” date filter in the form ddmmYYYY
&toDate= 15092015 “To” date filter in the form ddmmYYYY
&branch= 0 expects the bdp branch id for a given branch, when not filled gives results for all branches
&negotiator= 0 expects the user id
&valuer= 0 expects the user id
&groupby= months group results by ‘months’ or ‘weeks’
&pTableReady= 1 if added to the URL it provides the output in a more split up format for pivot table building
&identify= valuers,negotiators,branches if wanted the results can be split up into the different valuers, negotiators and/or branches

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