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Consulting and custom research

Market planning and portfolio strategy, tailored to the assignment.

We provide independent consulting for market entry, expansion planning, portfolio optimization and specialized location research. Each assignment begins with your objectives, available information and decision timeline. We agree on the scope, fee and delivery schedule before work begins.

Market-entry strategy

Compare markets and decide where to focus your next round of growth.

Portfolio optimization

Review where to expand, reinvest, relocate or close across an existing portfolio.

Expansion planning

Plan which markets and locations to pursue, and in what order.

Executive decision support

Prepare the market findings and financial analysis needed for a leadership, lender or investor discussion.

Store Performance Review · Pilot

When an existing location misses its return target, determine whether the shortfall comes from local demand, access, competition, nearby sister units or controllable costs. We review the store economics and recommend whether to fix operations, renegotiate, reinvest, relocate or exit. Start with one location and the decision you need to make. We scope the work and fee privately.

Discuss an existing store
Scope and fees

SiteThesis does not represent a landlord, broker or transaction. We discuss the scope, available information, timing and fee directly with you.

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Request a private scope review

Tell us what decision must be made, what information is available and when you need the work completed. Engagement terms and fees are provided privately after review.

Upload supporting documents

Site plans, leasing packages, floor plans, traffic studies, sales histories, spreadsheets, photos or prior market studies.

PDF, Word, Excel, CSV or image files. Maximum 3 files and 10 MB each.

Upload only documents you are authorized to provide. Files remain private and are used to perform and support your requested SiteThesis analysis. Do not include unnecessary sensitive personal information. They do not train a shared model without separate permission. See the Privacy Policy.