Fix the conversion signal, put budget behind what converts, and test the pages your paid traffic lands on.
What you told us, what we found, and what we'll accomplish together.
Google was optimizing toward a single, low-volume conversion (SQL). MQL imports have since been added, and the next step is a reliable, full-funnel signal automated bidding can learn from.
The fix: a full-funnel conversion setup (MQL, SQL and an ICP-qualified lead), with each stage reported on its own.
In the main sales training campaign, the highest-spend ad groups aren't the ones with the best cost per conversion. The B2B-focused ad group converts best, yet gets a small share of the budget.
The fix: isolate the ad groups that convert into their own campaigns with protected budget (Gold Pan Technique).
The demand is there. Your ads show for fewer than one in ten of the searches you're eligible for.
The fix: once winners are isolated, scale them while cost per SQL stays within target.
About a dozen pages receive paid traffic, with similar layouts and a full contact form up front. Without testing, there's no way to tell which page works best.
The fix: one consolidated training page to start, test the offer and the form, and once it wins it becomes the template.
Salesforce data reaches Google and Bing through a middleware feed. When that feed drops, bidding optimizes on incomplete data.
The fix: a direct connection Janek owns, built by our business intelligence team, with the current feed kept on until the new one is verified.
From our read-only review of your Google Ads and Microsoft Ads accounts, September and October 2026.
More of the right leads, not just more leads.
Nobody searches for "a company with 250 salespeople." So we reach your ICP with data and targeting, not keywords alone.
Our starting hypotheses from your site and market. We'll confirm them against your closed-won data before they shape targeting or page copy.
Fix the signal, back what converts, then test and scale.
This timeline is paced on what we typically see across clients, with room built in for feedback and approvals. Wherever we can move faster, we will.
Lifecycle data from Salesforce shows inside Google and Bing, so you can see which campaigns and keywords turn into pipeline and revenue, not just leads. Bidding then optimizes toward business outcomes instead of top-of-funnel volume.
Smart bidding needs volume to find patterns. We layer in meaningful steps your buyers take before they convert, tied closely to real buying intent, so the algorithm has more to learn from without diluting the signal.
A filter-by-filter review of campaigns, ad groups, keywords, search terms, devices, networks, locations and schedules against your cost targets. We pause, adjust bids and budgets, and add negatives to stop waste fast.
Once we find the keywords and ad groups performing within your cost ceilings, we isolate them in exact match with their own budget, so they get the impression share they deserve instead of competing with weaker terms.
Single keyword ad groups for high-intent exact match terms, where message match lifts quality. Single themed ad groups for related non-exact terms, to show whether keywords or search terms are driving revenue.
Once enough pipeline conversions flow in, we assign values to lifecycle stages (MQL, SQL, closed won) so Google optimizes toward revenue impact.
Step one asks low-commitment questions tied to the offer (team size, goals, role). Contact details come after. It builds momentum, lifts conversion rate, and routes leads to the right person on your team.
We test offers like a custom strategy session or sales process review against "request more information," and test the call-to-action wording itself.
Headlines and copy built around what your buyer is trying to accomplish, like building a high-performing sales team, so prospects see their problem and your solution right away.
Scroll depth, clicks and recordings show why visitors convert and why they don't, and that drives the next test.
Traffic splits evenly across variants until we reach about 90% confidence, then we declare a winner and launch the next test. Winners become the template for new pages, built only when a segment needs one.
At KlientBoost, we're always looking for ways to increase your performance and revenue. As part of our ongoing partnership, we'll recommend new opportunities as your business grows.
Custom scoped based on performance, budget and what your account needs.
More SQLs, a lower cost per SQL, and more pipeline and revenue.
Budget follows performance. We actively shift spend across Google, Bing and any channel we add, toward what drives pipeline and revenue, not just clicks or leads.
Arithmetic, not a forecast or a promise. The efficiency gain applies to cost per SQL at the same spend, and pipeline counts each SQL at your average deal value. Change any number. After 30 days live, we set quarterly goals with you from your real funnel data.
You're hiring a team, not an agency logo.
Our business intelligence team builds and supports your conversion tracking and the Salesforce connection.
We'll also want the highest level of access you're willing to provide across your tech stack as it relates to paid media, pipeline and revenue generation. The more ways we can support you, the better.
Once you choose your partner, we send the agreement in writing, and our team schedules the kickoff once it's signed.
Each of your second-round questions, in your words. Click one to open the answer.
If you took over our paid search program tomorrow, what would you do first? Please provide a high-level overview of how you would assess and quickly optimize our existing campaigns to improve performance and get us back on track. What would you prioritize in the first 30-60 days, and why?
Once the immediate optimization work is complete, what comes next? How would you evolve the program through ongoing testing, optimization, budget allocation, audience and keyword strategy, landing pages/CRO, and identifying new opportunities for growth?
How will you connect PPC optimization decisions to downstream business results such as qualified opportunities, pipeline, and revenue, rather than optimizing primarily around lead volume or CPL? How would those results influence the changes you make to our campaigns?
Walk us through your transition and onboarding plan. A smooth transition is critical for us. What happens from the moment we select you through the first 30-60 days? What do you need from Janek and our current agency, what access or historical information will you need, and how will you minimize disruption or performance loss during the handoff?
How would our account be managed day to day? Please have the person who would be responsible for the day-to-day management of our account join the call. We'd like to understand their experience managing enterprise/B2B paid search programs with longer, more complex sales cycles, how the broader account team is structured, how often we would interact, how performance and recommendations are communicated, and when senior strategists get involved.
Companies that sell training, and companies that sell to sales leaders.
Enterprise corporate training sold to companies. Moved paid search from in-house to KlientBoost and expanded into Bing.
A sales engagement platform that sells to sales teams. Google and Bing, with custom landing pages built and A/B tested.
Corporate team building, training and coaching, sold to more than 14,000 corporate groups.