Internal prep call between Mark Hope and Karly Oykhman ahead of a 4 PM call with Bluepoint's Wade. The session reviewed performance data, catalogued client complaints with rebuttals, and established a strategy to redirect the conversation toward sales execution rather than process concerns.
Attendees: Mark Hope, Karly Oykhman
Upcoming call: Mark → Wade (Bluepoint), same day at 4 PM
Bluepoint's principal Wade had expressed dissatisfaction to a third party (Chris), which contradicted a 7.5/10 sentiment score from the most recent client call. Mark and Karly worked through the disconnect, concluded that Bluepoint is overly focused on process rather than results, and prepared a data-backed case to redirect the conversation. A secondary initiative — an AI-powered "Client Brain" knowledge base — emerged from the discussion and was scoped for follow-up.
| Metric | Result |
|---|---|
| SEO health score | 100% (up from 99%) |
| Organic traffic | +50% |
| Visitors | +35% |
| LinkedIn ads | Significant lead volume generated |
SEO health going from 99 → 100 is non-trivial; it typically requires resolving the hardest structural issues (template errors, orphan pages, etc.).
| Metric | Value |
|---|---|
| ABM list size | 249 accounts |
| Emails sent | 383 |
| Opens | 46 (≈12% open rate) |
| Scheduling clicks | 3 |
| Sequence progress | Mostly at step 3; step 4 beginning |
Contacts with 3+ opens represent a clear warm-outreach opportunity. Salesforce dashboards were identified as the primary proof point to show Wade.
| Metric | Value |
|---|---|
| Active deals in HubSpot | 1 |
| Qualified contacts (presentation / proposal / contract status) | <100 of 7,000 total |
| Calls made by Mike (sales manager) in last 30 days | 34 (~1/day) |
HubSpot is not being maintained. Most contacts lack lead status. The sales manager's activity level is low relative to the pipeline opportunity.
Rebuttal: The agency is waiting on Bluepoint for 15+ items. Evoke's weekly agenda explicitly lists items pending client action. The only item pending from the agency side at time of call was a minor background update on the Texas page.
Rebuttal: Bluepoint submitted copy that exceeded LinkedIn's character limits. The agency revised and returned it; Bluepoint took 1.5 weeks to approve the revision.
Rebuttal: Bluepoint held back their edit list for two months despite repeated requests. When submitted (Feb 10), it was 16 pages. Completed within three weeks — a reasonable turnaround for the volume.
Acknowledged: Pages were pushed in a suboptimal state while Karly was out. Ad traffic was being driven to them incorrectly. Status: Pages have since been rebuilt and reviewed; traffic is now directed to improved versions.
Acknowledged: A draft post described reverse ATMs as leased to business owners and implied revenue sharing — both incorrect.
Correct model: Bluepoint owns the reverse ATMs. Business owners benefit from increased foot traffic and elimination of cash handling — not revenue. This was a knowledge gap, not a process failure.
Mark calculated that in the last 30 days, Bluepoint-related communication (105 emails × 10 min + 4 meetings × 60 min + Slack) totaled approximately 27.5 hours. At a blended rate of ~$150/hr, that's ~$4,125 — nearly the entire $5,000 monthly fee — consumed by correspondence alone, before any billable work is counted.
This framing was prepared to illustrate that the client is getting significantly more attention than the retainer covers.
A broader process improvement surfaced during prep. Client-specific institutional knowledge (business model rules, forbidden topics, preferred terminology) is not being systematically captured or used to govern content output.
Proposed solution:
- Add a dedicated "learnings / institutional knowledge" section to each client's record in Client Brain
- Conduct a 30-minute discovery call with each client to seed the knowledge base
- Use AI to check all content against client-specific rules before delivery
- At the end of each client call, capture: what did we learn this week about their business, their customers, their language?
Examples of rules that would be captured:
- Bluepoint: Reverse ATMs are owned by Bluepoint, not leased. Business owners gain foot traffic, not revenue.
- Citrus America: Do not mention "peel oil." Use "squeezing," not "crushing." Do not use "chocolate" — must be "chocolate flavored."
Next step: Mark to schedule a call with Evoke and Gavin to design and roll out this process.
See also: [1] · [2]