UK Property Auction Intelligence

The intelligence layer for UK property auctions.

We watch the auction market. We record what actually happens. We turn it into intelligence.

BuyerSide monitors live auctions across the UK's major auction houses and builds a proprietary, bid-by-bid dataset — guide price, opening bid, every bid and timestamp, bidder count and final hammer price for every lot.

LOT 142 · LIVE RECORDSOLD
GUIDE£300,000
OPENING BID£250,000
BIDDERS5
BIDS23
LAST BIDFinal minute
HAMMER
£350,000
+16.7% vs guide

Live coverage across the UK's major auction houses

AllsopSavillsBTG EddisonsAuction House

What we capture

Every auction lot, structured field by field.

For every lot that goes under the hammer, BuyerSide records and structures the full lifecycle of the sale — not just the result.

THE LOT

  • Property address & characteristics

    Type, size, tenure and condition

  • Auction house & auction date

    Which room, and when

  • Lot number / position

    Where it sits in the catalogue

THE OPENING

  • Guide price

    What the agent published

  • Opening bid

    Where the room actually started

THE ROOM

  • Every bid & timestamp

    The full bidding sequence

  • Number of bidders

    Depth of competition

  • Bidding intensity & velocity

    How fast the price moved

THE OUTCOME

  • Final hammer price

    What it actually sold for

  • Sold / unsold / withdrawn

    The result, every time

Property intelligence

Every lot analysed, not just recorded.

Auction behaviour only means something next to the asset itself. BuyerSide reads every photo, floor plan and legal pack document on a lot, combines them with local market data, and turns them into structured fields you can query.

InputsListing & catalogueEvery photoFloor planLegal pack documentsLocal market data

Condition & refurbishment

Heavy refurb · £48k–£72k

  • Overall effort, from light cosmetic to full gut
  • Refurbishment budget range, with a confidence level
  • Risk flags and top findings
  • Per photo: damp indicators, structural concerns, occupancy

Floor plan & layout

3 bed · 1,042 sq ft

  • Bedrooms, bathrooms, WC and reception rooms
  • Square feet and square metres
  • Extension potential and layout opportunities
  • HMO suitability and achievable bedroom count

Market & valuation

6.4% gross yield

  • Price per square foot against the local market
  • Rental estimate — monthly, annual, gross yield at guide
  • Post-refurbishment value estimate
  • Value assessment: grade, score and variance vs market

Legal & title

4 conditions flagged

  • Every legal pack document categorised and summarised
  • Special conditions and disclosed defects
  • Tenancy status and terms
  • Planning status, planning notes and access issues

Investment thesis

Flip | HMO · score 78

  • Deal classification: BTL, flip, HMO, development, commercial-to-resi
  • Opportunity score and model confidence
  • Suggested maximum bid
  • Buy reasons, avoid reasons and key due diligence

Auction estimate

Expected £350k

  • Expected hammer price for the lot
  • Median uplift over guide for comparable lots
  • The comparable lots the estimate is drawn from
  • Price bracket the lot competes in

The core asset

Price is a result. We record how it was formed.

Traditional property data tells you a property sold for £350,000. BuyerSide tells you how the room got there.

Traditional property data

SOLD PRICE

£350,000

One number. No context on how competitive the sale was, or why.

BuyerSide price-formation record

Guide

£300k

Opening bid

£250k

Bidders

5

Bids

23

Final minute

Intense

Hammer

£350k

The intelligence layer

A dataset that answers questions no single listing can.

Every lot adds another data point. Over time, the dataset lets you interrogate how the auction market actually behaves.

01

Which properties consistently sell above or below guide price?

02

How much does the guide price differ from the eventual hammer price?

03

Does lot position affect the final price?

04

Which property types attract the most competition?

05

Which characteristics predict a property failing to sell?

06

Which auction houses systematically under-guide or over-guide?

07

How many bidders does a given property type typically attract?

08

What properties appear mispriced relative to historical auction behaviour?

On the roadmap

What the dataset will predict

Expected hammer priceProbability of saleExpected bidder competitionMarket valueMaximum rational bidOpportunity score

Who it's for

Built for professional users, first.

BuyerSide is a B2B platform. The initial focus is the professionals who price, fund and run the auction market — not retail buyers.

LENDERS

Bridging & development lenders

Auction-specific underwriting and valuation intelligence for facilities secured against auction stock.

INVESTORS

Professional investors & developers

Identify mispriced opportunities and set a rational maximum bid before you enter the room.

DATA LICENSING

Property-data companies

License BuyerSide's auction transaction and bidding dataset through an API.

AUCTION HOUSES

Auction houses

Benchmarking, guide-price optimisation, demand analysis and lot sequencing.

ADVISORY

Valuers & surveyors

Independent evidence on real-world auction pricing and liquidity to support valuations.