The Next-Gen Brand Lab
Primary research
51 real estate marketing ads: a reproducible Meta audit
Published 2026-08-09 · updated 2026-09-19 · 7 min read
Our retained 9 August 2026 snapshot contains 51 unique sell-side ad links across 41 advertiser display names. The sample includes marketing agencies and CRM vendors. This is a keyword-selected view of advertising activity, with a downloadable index so readers can inspect the records and repeat the count.
Collected 9 August 2026; counts reconciled 13 September 2026
Method Recount of the retained Apify export. Group rows by the collector’s sell/buy label, deduplicate exact library URLs within each group, and count distinct advertiser display-name strings. The raw collection reports 204 items; 152 scored rows were retained. Three actors appear in the fallback log. Search terms and the source-file checksum are in the method download.
Sample Sell: 56 retained rows, 51 unique ad links, 41 advertiser names. Buy: 96 retained rows, 96 unique ad links, 45 advertiser names. The combined retained set has 147 unique links.
Limits Not a census of Bangalore agencies. CRM vendors are included; names are not verified legal entities or unique Page IDs. The export records one collection error. Search terms and collector labels constrain coverage; no agency websites were exhaustively audited. Retained run-age fields do not prove continuous delivery, spend, profitability or demand. The original raw 204 items are not all available in this retained export.
What the retained data establishes
The August snapshot contains 51 unique sell-side ad links across 41 advertiser-name strings, plus 96 buy-side links across 45 names. Five duplicate sell-side URLs remain among the 152 scored rows. Counting rows as unique ads would overstate this retained sample.
The collector labels describe how records were grouped for research. They do not establish that every seller is an agency, that every advertiser serves Bengaluru, or that every buy-side record is in Karnataka.
Inspect the records and repeat the count
- Download the 51-link sell-side index (CSV).
- Download the 96-link buy-side context index (CSV).
- Download search terms, counts, method and source checksum (JSON).
Each CSV contains the snapshot date, collector category, advertiser name, library link, recorded ad age and matched search term. Ad copy, images, personal contacts and account credentials are excluded. Library links may change availability after the snapshot.
To reproduce the index counts, count distinct library_url values and advertiser_name strings in each CSV. The JSON separately records the pre-deduplication row counts from the retained export. When the same link matched more than one search term, the first retained row supplies the displayed term and age.
Activity is a starting point for questions
An advertiser’s continued presence can justify investigating its offer and creative. It cannot tell you whether the campaign produced qualified enquiries or bookings. The retained export has no spend, conversion or revenue fields.
Compare the promise, destination, price presentation and qualification process against your own brief. Then test the relevant hypothesis in your own account with a defined lead-quality measure. A long-running ad is a research reference, not a proven winning creative.
What we can say about transparency
This snapshot does not establish that no agency publishes prices, sells research or defines a qualified lead. Captured ad excerpts are not an exhaustive review of websites, proposals or commercial terms. Earlier wording made that unsupported inference; this revision withdraws it.
Our own commitments remain concrete: published commercial terms, a documented research process and a written qualified-lead definition. Buyers can assess these directly without a claim that competitors lack them.
How to cite or extend the audit
Cite QDnCo, the snapshot date, this page and the size of the relevant subset. Describe it as a keyword-selected snapshot. Preserve the distinction between rows, unique links and advertiser names.
For a stronger follow-up, retain Page IDs, document geographic inclusion rules, review landing pages with dates and predefine the coding questions before collecting new records. That would support a different study; these downloads do not substitute for it.
Questions about this research
How many agencies were audited?
The retained sell-side sample has 41 advertiser display names, including CRM vendors. It is not a verified count of 41 agencies. There are 51 unique sell-side ad URLs.
Does this audit show that agencies hide their prices?
No. The retained ad snapshot cannot establish an absence of prices across websites or proposals. Earlier wording overstated this conclusion and has been withdrawn.
Does a long-running ad prove profitability?
No. The export has an ad-age field but no spend, conversion or revenue data. Age cannot establish delivery continuity or commercial results.
Can I download the underlying records?
Yes. This page links to sell-side and buy-side CSV indexes plus a JSON method record. They contain public ad links and collection metadata, without reproducing ad copy or images.
Citing this Published by QDnCo, 9 August 2026; counts reconciled 13 September 2026. Cite the source date, sample and limitations with any figure. Link to https://qdnco.com/data/meta-ad-library-audit-bangalore-agencies.html. Third-party reports, ads and imagery remain subject to their owners’ terms.
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