A wheeled archery target with an arrow in its center stands opposite a fixed survey stake joined to it by a measuring tape.

Marketbridge Buys Channel99: Four Checks for Agency-Owned Measurement

Marketbridge’s acquisition of Channel99 brings marketing execution and account-level measurement closer together. The October 28 announcement describes a platform connecting digital activity with opportunities and pipeline; Channel99 will retain its product identity. For a B2B buyer, the immediate question is what evidence will remain inspectable when one supplier helps choose the work and evaluate it.

Shared ownership can reduce handoffs. It also makes the acceptance criteria for measurement more important. The announcement does not establish incremental sales or disclose the terms available to individual customers. The following is our proposed procurement framework, rather than a description of the companies’ contracts.

1. Agree the evidence before agreeing the score

Write a short measurement schedule before extending the engagement. Define the account population, opportunity stages, reporting period, spend included and treatment of existing customers. Ask who can change these definitions and how changes appear in the report. A revised definition can be legitimate; an invisible revision makes comparisons difficult.

Use one worked example. Pick an account with a known sequence of campaign activity and sales contact. Ask the supplier to explain how it appears in the account report, which records support that explanation and what remains uncertain. A clear demonstration is more useful than a long list of possible integrations.

2. Test whether the evidence can travel

Request an export containing the agreed identifiers, timestamps, source fields and definitions, with appropriate access controls. Have your own operations team reconcile a small sample with the CRM. Record unmatched records and ask whether the cause is coverage, identity matching, timing or a different business definition.

Portability is a practical acceptance test. Could another analyst reproduce the reported movement using the delivered evidence? Establish who maintains access, who owns the mapping and what happens to historical reporting when services end. These are questions to negotiate, not capabilities to assume from the acquisition announcement.

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3. Separate optimization from business proof

Campaign engagement can guide weekly decisions without proving additional pipeline. Keep a working optimization view and a separate outcome review. In the latter, inspect opportunity quality, progression, sales acceptance and contribution after the costs of media, tools and services. Use definitions that finance and sales can understand.

For a bounded pilot, choose one audience and one commercial objective. Agree a comparison approach that fits the buying cycle, such as comparable accounts or a phased rollout, and write down its limitations. Where a credible comparison is unavailable, label the result observational. More attributed opportunities are not automatically more opportunities caused by the campaign.

4. Set a decision rule for expanding the scope

A useful pilot ends with a decision packet: reconciled evidence, unresolved gaps, delivery effort and the next proposed action. Give the internal buyer responsibility for accepting that packet. If the agency recommends a budget increase, ask someone outside the delivery team to review the assumptions before approving it.

Expand when the measurement is understandable enough to support the decision and the operating benefit justifies the full cost. If the evidence remains inaccessible, narrow the scope and resolve access first. The business value of an integrated supplier is faster, better-supported action; the buyer still needs the ability to challenge the score and carry the learning into the next decision.

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Alice Butler

Brandformance editorial contributor covering marketing strategy, digital media, SEO, analytics, ecommerce, martech, and marketing operations. Articles are prepared from cited public sources using an AI-assisted multilingual workflow with source, language, duplication, image, and rendered-page quality checks.