Brand Intelligence Retainer Build (10-15 days)
A productized setup that turns raw mention streams into a client-facing intelligence retainer: query architecture, sentiment baselines, competitor share of voice, and a fixed review cadence. Built for agencies that want recurring insight revenue instead of one-off dashboard handoffs. Time: 10-15 days.
By InnovaAI ResearchPublished
How do you implement it?
Brand Intelligence Retainer Build (10-15 days)
A productized setup that turns raw mention streams into a client-facing intelligence retainer: query architecture, sentiment baselines, competitor share of voice, and a fixed review cadence. Built for agencies that want recurring insight revenue instead of one-off dashboard handoffs.
- Signed scope naming the client's priority questions (reputation, competitive position, or category trend detection) and the named decision-maker who receives findings Access credentials or API keys for the client's owned social accounts, plus a documented list of brand terms, product names, executive names, and known misspellings A written list of 2-4 direct competitors and the specific claims the client wants benchmarked against them Agreed escalation path and response-time commitment for crisis-grade mentions, signed off by the client's comms owner Baseline budget for analyst hours per month, since interpretation and response planning drive delivery cost more than seat access
- 1.Run a kickoff session to extract the three decisions the client needs this data to support
- 2.Document current manual monitoring habits and where mentions are being missed today
- 3.Confirm the review cadence the client will actually attend (weekly, biweekly, or monthly)
- 1.Draft the query architecture: brand terms, product lines, executive names, and common misspellings
- 2.Build Boolean filters that exclude reseller spam, job postings, and unrelated homonyms
- 3.Map competitor query sets to the same taxonomy so share of voice is comparable
- 1.Configure the chosen platform with the approved query sets and language coverage
- 2.Set source coverage to match the client's actual market footprint rather than the widest available crawl
- 3.Define the sampling window and note where coverage will be incomplete
- 1.Run a 72-hour calibration pull and manually review 100 sampled mentions for relevance
- 2.Tune sentiment thresholds against the manual read and record where automated classification diverges
- 3.Flag any language or dialect the platform handles poorly before the client sees numbers
- 1.Establish the sentiment and share-of-voice baseline the client will be measured against
- 2.Separate owned-channel engagement from earned and unearned conversation
- 3.Document the three loudest topics driving current volume
- 1.Build the competitor benchmark view with the same metrics applied to each tracked rival
- 2.Identify where the client over-indexes and under-indexes on conversation share
- 3.Note any competitor signal that suggests a product launch or campaign in motion
- 1.Design the escalation matrix: what triggers a same-day alert versus a weekly summary line
- 2.Write the alert template so any analyst on the team can send a consistent notice
- 3.Test the alert path end to end with a synthetic mention
- 1.Assemble the recurring report template with a fixed section order the client learns to read
- 2.Add a short interpretation block above each chart so the deliverable is not raw dashboard export
- 3.Include a standing recommendations section tied to the client's stated decisions
- 1.Draft the first full intelligence report using the calibration window data
- 2.Have a second analyst review the interpretation for overclaiming
- 3.Trim any metric that does not connect to a client decision
- 1.Walk the client through the report live and capture their questions verbatim
- 2.Record which sections they skip, then cut those from the standing template
- 3.Agree the response protocol for negative sentiment spikes
- 1.Document the query set, taxonomy, and escalation rules in a handover file the agency owns
- 2.Set the monthly analyst time budget and note where it will be exceeded
- 3.Confirm the renewal trigger and what a scope expansion would cost
- 1.Deliver the baseline report, escalation matrix, and query documentation as the final package
- 2.Schedule the next three review sessions on the client calendar before closing the engagement
- 3.Log the account as a recurring retainer with the agreed cadence
The platform subscription is a commodity line item the client can buy directly, so the agency margin sits in query architecture, sentiment calibration, and the interpretation layer that turns volume into a decision. A retainer priced at $1,200-$3,500/mo against 6-10 analyst hours is defensible because the client is buying a review cadence and an escalation commitment, not dashboard access. Renewal rates hold when the report consistently names a decision the client acted on, which is why the template is built around their stated questions rather than around available metrics.
- A documented query architecture covering brand, product, executive, and competitor term sets with exclusion filters A sentiment and share-of-voice baseline report with the calibration window and known coverage gaps stated A written escalation matrix defining alert triggers, response owners, and same-day versus weekly handling A recurring report template with a fixed section order and an interpretation block above each chart A handover file containing taxonomy, escalation rules, and the monthly analyst time budget
The client has received the baseline report, confirmed the escalation matrix in writing, and has the next three review sessions on their calendar.